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Cracking the AI Hiring Code: Experts Share Solutions to Bias-Free Recruitment

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Cracking the AI Hiring Code: Experts Share Solutions to Bias-Free Recruitment

Buckle up for a deep dive into AI’s impact on hiring.

AI-powered recruitment tools are transforming talent acquisition with lightning-fast efficiency, but they’re also stirring up concerns about bias and fairness.

While these systems streamline hiring, they risk deepening inequities or overlooking diverse talent—a challenge we can’t ignore.

To explore this dynamic issue, the Techronicler team rallied HR experts, AI innovators, thought leaders, and business pioneers to tackle a crucial question:

With AI-driven hiring on the rise despite bias concerns, what’s one major downside in your industry, and how is your organization addressing it?

Their insights shine a light on real-world hurdles—from perpetuating biases to misjudging candidate potential—paired with bold solutions like transparent algorithms, inclusive data sets, and robust human oversight.

Join us as we explore the pitfalls of AI in recruitment and the creative strategies organizations are using to ensure fairness.

Discover how these trailblazers are balancing cutting-edge technology with equity to forge a more inclusive future for hiring.

Read on!

Susan Fitzell
Founder & President, Susan Fitzell & Associates

Susan Fitzell – Susan Fitzell & Associates

One serious consequence of AI-driven hiring is how easily it screens out neurodivergent talent. These systems are designed around neurotypical norms—often without realizing it.

For example, a candidate with dyslexia might be ruled out for spelling errors on a résumé, even if they’re a brilliant problem-solver. Autistic candidates might be excluded based on facial expressions or lack of eye contact during AI-monitored assessments.

During the pandemic, I saw this happen more often, as companies leaned on AI to detect “cheating” behaviors—behaviors that often just reflect how some brains process information differently.

The result? Great candidates are filtered out before a human ever sees them.

In our work, we counter this by questioning the default settings—literally and figuratively.

We prioritize inclusive practices, review applications with a gifts-mindset, and ask ourselves: Are we assessing ability, or just screening for conformity?

Hayley Gillman
CEO, BOTI

Hayley Gillman – BOTI

The use of AI for hiring brings efficiency but it maintains a dangerous weakness because it repeats existing biases instead of discovering new talent.

I have witnessed numerous talented candidates including women and neurodiverse thinkers and career transitioners get eliminated because their resumes failed to match a specific traditional format.

The team at BOTI uses artificial intelligence as an instrument to support decision-making processes instead of making decisions autonomously. Our team identifies AI system weaknesses through audits while expanding its training information base and maintaining human oversight of all decisions.

The result? Our hiring process produces intelligent selections while ensuring fairness and building diverse teams which match our served communities.

The majority of people fail to recognize that AI systems both inherit and quietly intensify existing biases. The solution requires better questions rather than additional technological solutions.

The organization should ask “Who breaks it in ways that could redefine success?” instead of “Who fits our pattern?” This approach enables organizations to select candidates based on their potential rather than their background.

Most companies focus on fixing biased AI. Instead, flip the script: Use AI to identify bias in your own hiring habits.

For example, run your last year’s hires through a new tool and ask: “Who would we reject today—and why?”

Often, the answers reveal more about your process than the candidates. That’s how you turn AI from a gatekeeper into a mirror.

Edward Hones
Founder, Hones Law

Edward Hones – Hones Law

One serious consequence of AI-driven hiring in the employment law space is that it can quietly entrench systemic bias under the guise of objectivity.

I’ve seen clients denied interviews or passed over based on AI tools that penalize gaps in employment, nontraditional career paths, or even speech patterns, factors that disproportionately affect women, people with disabilities, and workers of color.

Because these tools often lack transparency, it’s incredibly difficult for job seekers to challenge the decision or even understand what went wrong, which raises significant concerns about fairness and accountability.

At Hones Law, we’re addressing this risk by staying vigilant about how AI is used in hiring decisions and advocating for clearer disclosures from employers.

When clients come to us suspecting algorithmic discrimination, we push for data transparency and audit trails in discovery. We also educate workers about their rights and how to spot potential red flags in the hiring process.

Until there’s stronger federal guidance, legal practitioners have a responsibility to call out misuse and ensure that technological efficiency doesn’t come at the cost of equal opportunity.

Adam Wagner
COO, Raindrop Agency

Adam Wagner – Raindrop

One serious risk with AI-driven hiring is the reinforcement of unconscious bias through historical data.

If the algorithm is trained on past hiring patterns, it may favor candidates who “look like” previous hires, locking out diverse talent.

That’s a huge problem in creative industries where fresh thinking thrives on diverse perspectives.

At Raindrop, we use AI tools only to streamline admin—not to make hiring calls.

We keep people at the center of people decisions. Final interviews, team fit, and creative evaluations are all human-led.

Keith Kakadia
Founder & CEO, Sociallyin

Keith Kakadia – Sociallyin

AI-driven hiring can unintentionally reinforce bias if it relies on historical data that reflects societal inequalities, like the underrepresentation of women or people of color in leadership roles. One major risk is that these algorithms might filter out qualified candidates based on biased patterns they learned from flawed datasets.

At Sociallyin, we use AI to support hiring, not drive it. We pair machine learning tools with human oversight to ensure decisions are inclusive and reflective of our core values. Our team also conducts regular audits of AI systems and prioritizes transparency in job descriptions, application flows, and screening processes. Ultimately, AI should enhance—not replace—human judgment in recruitment.”

Kristiyan Yankov
Co-founder & Growth Marketer, Above Apex

Kristiyan Yankov – Above Apex

A real problem with AI in hiring is that it focuses too much on formal credentials—degrees, certifications, buzzwords—and not enough on what people have actually done. In marketing especially, we care more about someone who’s built something real, even if it’s small, than someone who just has “marketing” on their diploma.

Curious people who love learning and trying new things always outperform those who just checked boxes at some random course or school. That’s hard for AI to recognize. At Above Apex, we still manually review every candidate who applies—even if the system ranks them low. Some of our best people were flagged as not suitable for the position, but they’ve got the mindset you can’t teach.

Zach Fertig
Co-owner, Property Leads

Zach Fertig – Property Leads

The right hires are crucial to sales-driven teams like ours.

A serious consequence I’ve been seeing with AI-driven hiring is the very real potential that top talent could be overlooked all because of algorithm bias. In sales, soft skills are just as important as hard skills.

But, it’s hard to translate soft skills like personality, grit, and adaptability on paper in a way that AI fully understands.

A miss like this could mean thousands in lost revenue and slower deal flow.

There still needs to be a good balance between human intuition and AI efficiency.

David Hunt
COO, Versys Media

David Hunt – Versys Media

AI-driven hiring is indeed a double-edged sword. While it offers efficiency, one serious adverse consequence is that it can inadvertently reinforce existing biases. For instance, if the data used to train AI systems predominantly reflects historical hiring patterns, it may favor certain demographics, leading to the exclusion of qualified candidates from diverse backgrounds.

To mitigate this risk at Versys Media, we focus on ensuring diversity in our candidate pool and regularly auditing our AI tools for bias. Additionally, we emphasize human oversight in the hiring process, balancing technology with personal judgment to create a more equitable approach.

Steven Rodemer
Owner & Attorney, Law Office of Rodemer & Kane DUI, Criminal Defense Attorney

Steven Rodemer – Law Office of Rodemer & Kane

AI-driven hiring poses a serious threat to the integrity of law practice by filtering out qualified candidates based on flawed data patterns. In criminal defense, success depends on courtroom skill, not algorithmic conformity. AI doesn’t account for trial experience, real-time decision-making, or how someone handles pressure before a judge or jury.

I’ve seen candidates rejected for things like career shifts or military service gaps, factors that, in this field, often signal resilience and leadership. One of the best trial lawyers I hired was a former prosecutor who took time off to care for a family member. No AI would have flagged that as a strength.

I review every applicant personally. I look at their results, not résumé keywords. The stakes in this field are too high to let a machine decide who gets through the door. If you care about results, you need people, not programs, making those calls.

The HR Spotlight team thanks these industry leaders for offering their expertise and experience and sharing these insights.

Do you wish to contribute to the next HR Spotlight article? Or is there an insight or idea you’d like to share with readers across the globe?

Write to us at connect@HRSpotlight.com, and our team will help you share your insights.

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AI Recruitment Risks: Experts Uncover Biases and Share Fixes

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AI Recruitment Risks: Experts Uncover Biases and Share Fixes

Get ready for a deep dive into the future of hiring!

AI-driven recruitment tools are speeding up talent acquisition with incredible efficiency, but they’re also raising eyebrows over bias and fairness.

These systems can supercharge hiring, yet their potential to entrench inequities or miss diverse talent is a real concern.

To tackle this hot topic, the Techronicler team connected with HR gurus, AI experts, visionary thought leaders, and business trailblazers to answer a big question:

Despite concerns of potential bias, AI-driven hiring is gaining traction. In your opinion, what’s one serious adverse consequence of this practice in your industry, and how is your organization addressing it?

Their insights unpack real challenges—from amplifying biases to misreading candidate potential—while showcasing smart solutions like transparent algorithms, diverse data sets, and human oversight.

Join us as we uncover the risks of AI in hiring and the bold strategies organizations are using to champion fairness.

Discover how these leaders are striking a balance between cutting-edge tech and equity to pave the way for a more inclusive recruitment future!

Read on!

David Case
President, Advastar

David Case – Advastar

As a recruiting firm leader, I’ve seen firsthand how AI tools can improve the efficiency and accuracy of hiring. But I’ve also seen the risks they pose when used without proper oversight, especially in industries like construction and manufacturing, where our firm focuses most of its work.

One major concern is bias against candidates with non-linear career paths. These are common in both construction and manufacturing, which have also historically been male-dominated fields. AI hiring tools trained on historical data from such industries can end up favoring male candidates and overlooking others, and also tend to struggle with identifying transferable skills, meaning candidates with nontraditional backgrounds are often screened out unfairly.

Given the persistent talent shortages in the skilled trades and manufacturing sectors, employers simply can’t afford to lose strong candidates due to biased or incomplete algorithms. Overreliance on AI makes that more likely.

That’s why we pair AI tools with human oversight. For hard-to-fill roles, our recruiters manually review candidates who were initially screened out by AI. We also conduct regular audits of AI-driven decisions to spot and correct patterns of bias. I’d strongly encourage other employers using AI in hiring to do the same. Efficiency is important, but not at the cost of missing out on exceptional talent.

Justin Belmont
Founder & CEO, Prose

Justin Belmont – Prose

One major risk is automating bias at scale—if the AI’s trained on biased data, it’ll quietly filter out amazing candidates who don’t “look like” past hires.

In marketing, that can kill creativity and diversity fast.

We’re tackling it by keeping humans in the loop at key points and regularly auditing the tools for patterns that look off.

No set-it-and-forget-it.

If the AI’s making decisions, we’re making damn sure we know how and why.

George Fironov
Co-Founder & CEO, Talmatic

George Fironov – Talmatic

Despite the fact that AI has been with us for a long time, its use in different industries still raises many questions. And recruiting isn`t an exception.

A grave adverse effect of AI-powered hiring is the amplification of inherent biases in historical data, which can inadvertently exclude qualified candidates from underrepresented backgrounds.

To avoid this, Talmatic continuously audits our AI systems, employs training data sets that are diverse, and incorporates algorithmic recommendations into formal human review to guarantee fairness and accountability throughout the hiring process.

Vivek Mehta
Co-Founder & CEO, Weeve AI

Vivek Mehta – Weeve AI

A health system we advised saw applicant diversity drop sharply after deploying AI-powered hiring. The culprit? The model was trained on outdated job descriptions—rewarding familiar schools, linear resumes, and “no gaps.” It didn’t just miss out on great people—it reinforced the same old mold.

This wasn’t a tech glitch. It was a leadership miss.

AI doesn’t absolve us of judgment. It demands more.

Even the smartest systems drift without oversight. And in hiring, those drifts turn into quiet exclusions. That’s why high-impact leaders don’t just deploy AI—they guide it.

Here’s what they do:

Human-led, AI-augmented hiring: AI can flag patterns. People make the call. Always review for mission fit and lived context.

Bias audits beyond the checkbox: Track who advances—and who doesn’t. Patterns reveal what metrics alone can’t.

Transparency with teeth: Be clear with candidates about how AI is used. Offer opt-outs. Invite feedback. Build trust by design.

Design with lived voices: Involve ERGs, DEI leaders, frontline managers early. They see what the data misses.

There’s something more! What if the real breakthrough with AI in hiring isn’t speed at all—but finally seeing the people and potential we’ve always missed?

It’s not faster filtering. Not cheaper sourcing. Deeper understanding.

The best systems don’t just scan resumes—they talk to people.

Conversational AI engages applicants directly, surfacing what truly matters: how they think, connect, solve problems. You hear their values—the ones that already live in your organization, or the ones you wish did.

That’s the future—not automation for efficiency, but intelligence for alignment.

Great leaders use AI to spot brilliance others miss.

Not to filter people out—but to finally see them.

Eugene Mischenko
President, E-Commerce & Digital Marketing Association

Eugene Mischenko – E-Commerce & Digital Marketing Association

One of the most serious adverse consequences I see with AI-driven hiring is the risk of reinforcing legacy bias while creating the illusion of objectivity. In e-commerce and digital marketing, where growth depends on adaptable, creative teams, this is particularly dangerous. If a hiring algorithm is trained on historical data from a company that has favored a specific profile – consciously or not – it will perpetuate those patterns. This can quietly filter out unconventional talent, narrowing the team’s perspective and limiting innovation.

I have seen this first-hand in consulting engagements with multinational retailers and agencies. One client adopted an AI screening tool expecting it to broaden their talent pool. Instead, they noticed a subtle but consistent decline in candidate diversity – not only in demographics, but also in thought and experience. The system was favoring profiles that closely matched their legacy hires, even though the company’s strategy was shifting toward new markets and skills.

At the E-Commerce & Digital Marketing Association, we work with member companies to actively mitigate this risk. We treat AI as an efficiency tool, not a decision-maker. Every algorithm is audited by both HR and operational leaders before deployment. More importantly, we insist on regular outcome reviews, comparing AI-driven recommendations with business results and team performance. Where the data reveals patterns of exclusion, we adjust both the data inputs and the role definitions.

From a leadership perspective, it is critical to remember that hiring decisions shape the organization’s future capabilities. AI can streamline initial screening, but it cannot detect potential, adaptability, or cultural fit as a seasoned executive can. In my experience, the best results come when AI is paired with thoughtful human review, guided by a clear understanding of the shifting business context. This approach not only reduces bias, but ensures that teams stay dynamic and well equipped for rapid change.

Samantha Gregory
Self-Care Strategist & Culture Consultant, Workplace Alchemy

Samantha Gregory – Workplace Alchemy

One major consequence of AI-driven hiring is the exclusion of qualified, diverse candidates due to flawed training data. I’ve seen this firsthand as a SCORE business consultant supporting small business owners expanding their teams. These entrepreneurs often rely on AI tools to save time but unknowingly inherit biased algorithms trained on outdated, homogenous hiring patterns.

In my own work, I’ve built S.A.M.I., a digital well-being coach I trained on my original intellectual property, not general machine learning data. This personalized approach ensures culturally competent, context-aware support. Companies can adopt a similar model by customizing their AI tools, enhancing inputs, and incorporating values-aligned data to eliminate bias.

Diverse hiring isn’t just a checkbox; it’s a strategy. When AI is paired with inclusive design and human insight, it can surface well-rounded candidates who bring hard-won experience, education, and fresh perspectives that strengthen workplace culture.

Ulad Stsepuro
HR Director, ScienceSoft

Ulad Stepuro – ScienceSoft

I see two serious consequences here.

The first is discrimination. Since machine learning models are trained on historical hiring data, they may inherit past biases related to gender, ethnicity, or age, for example.

The second is an increase in conflicts within teams.

In my experience, human recruiters are still better at evaluating a candidate’s soft skills and their ability to integrate into a specific team. It’s not all just about technical skills — a poor team fit can quietly erode morale and productivity for months. It often takes a while to identify the source of the issue and even longer to reorganize the team or part ways with someone who is the wrong fit.

At ScienceSoft, we use a complex, multi-step hiring process managed by people, not AI.

Our recruiter initially selects candidates whose profiles best match the role, then forwards their resumes to technical specialists. This ensures that qualified candidates are not overlooked due to non-technical judgment.

Only those approved by the technical team proceed to the next step. Then, the selected candidates are invited for a behavioral and culture-fit interview with our HR team.

After that, the candidate undergoes a technical assessment. Depending on the role, that could be a technical test or a practical task relevant to the position. Those who pass the assessment are then interviewed by our technical team for a more in-depth evaluation.

A final interview with the department head ensures alignment with team goals and expectations. Successful applicants undergo thorough background checks, which include verification of their identity, employment history, education, and professional references.

Another important point is that the recruiter receives a bonus if the candidate they recommend is hired and proves to be a strong fit for the role. This way, the recruiter is highly motivated to remain objective and focus on finding the most qualified candidates.

James Francis
Founder, Artificial Integrity

James E. Francis – Artificial Integrity

When AI drives hiring, the hiring process is far more efficient, but it can also entrench bias in recruiting. If an AI model is trained on historical data that captures biased hiring decisions (for example, bias on the basis of gender, race, or age), it could replicate these biases in future decisions.

For example, an AI system may unintentionally reward candidates who are similar to past hires if it filters out equally competent brains. By weakening fairness, this also hampers organizational diversity, which, according to several studies, is essential for innovation and success.

At Artificial Integrity, we try to minimize this problem by ensuring that our AI tools are regularly audited for fairness and bias-free algorithms. By ensuring such biases are not a part of our training data and implementing checks for equity, we are creating systems that promote inclusion.

Eric Walczykowski
CEO, Bespoke Partners

Eric Walczykowski – Bespoke Partners

The old software principle, “garbage in, garbage out,” still applies in AI. Train your model using data only from your previous talent searches and hiring and you’ll repeat the same patterns.

Everyone using AI Chatbots for candidate discovery is likely affected by bias and recycling former candidates instead of finding new ones.

We take a completely different approach. AI’s real power is processing huge amounts of data, recognizing patterns, and forming logical connections.

Instead, our AI-driven talent market mapping platform, the Executive Index, maps every executive in the US software industry. It’s nearly 700,000 executive profiles, assembled from 53 million executive background data lines from 575,000 sources.

Our clients can see the entire talent market, filter it in real-time, and see who could solve their search.

There is no possibility of bias or narrow, repetitive thinking because you see the whole market, not a narrow slice based on past work.

The HR Spotlight team thanks these industry leaders for offering their expertise and experience and sharing these insights.

Do you wish to contribute to the next HR Spotlight article? Or is there an insight or idea you’d like to share with readers across the globe?

Write to us at connect@HRSpotlight.com, and our team will help you share your insights.

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Powering Up AI Hiring: Solutions for a More Equitable Future

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Powering Up AI Hiring: Solutions for a More Equitable Future

As AI-driven hiring tools gain momentum, they promise efficiency and scale in talent acquisition, but they also spark concerns about bias and fairness.

While these systems can streamline recruitment, their potential to perpetuate inequities or overlook diverse talent is a pressing issue.

To dive into this complex topic, the HR Spotlight team reached out to HR experts, AI specialists, thought leaders, and business executives to address a critical question:

Despite concerns of potential bias, AI-driven hiring is gaining traction. In your opinion, what is one serious adverse consequence of this practice within your industry, and how is your organization mitigating this risk?

Their responses reveal real-world challenges, from reinforcing existing biases to misjudging candidate potential, alongside proactive strategies like transparent algorithms, diverse training data, and human oversight.

Join us as we explore the risks of AI in hiring and the innovative solutions organizations are deploying to ensure fairness.

Discover how these leaders are navigating the delicate balance between technology and equity to shape a more inclusive future for recruitment.

Read on!

Ger Perdisatt
CEO & Founder, Acuity AI Advisory

Ger Perdisatt – Acuity AI Advisory

When AI optimises for what worked before, it quietly filters out the people you actually need next.

The real risk in AI-driven hiring isn’t traditional bias — gender, race, or education. It’s corporate success bias: the tendency of AI systems to replicate what has historically worked in your organisation, even when that’s exactly what won’t move you forward.

Trained on past hiring data, these tools surface “safe” candidates who mirror your existing top performers. Familiar degrees. Recognisable companies. Predictable experience. It looks like consistency — but it’s actually stagnation.

          If you’re trying to evolve, these systems quietly optimise against change.

In industries that demand fresh thinking and strategic agility, this creates dangerous blind spots. AI won’t challenge your hiring assumptions — it validates them. At Acuity, we’ve seen how even well-intentioned systems can entrench sameness when they’re designed without forward-looking intent.

The mitigation playbook:

1. Define hiring success forward, not backward.

2. Audit inputs and outcomes, not just interfaces.

3. Use AI to assist, not decide.

4. And remember: culture makes the final call.

There’s justified focus on codified bias in AI systems. But here’s the uncomfortable truth:

      AI screens who you see.

      Culture decides who you pick.

Screening algorithms may be sophisticated — but they’re optimising for yesterday’s success criteria. In a period of transformation (which describes most organisations today), that’s the wrong objective function.

Until we acknowledge this, the risk isn’t just in our tech stack. It’s in our strategic blind spots.

Because real change means hiring for who you’re becoming — not who you’ve already been.

Margaret Buj
Principal Recruiter, Mixmax

Margaret Buj – Mixmax

One serious risk of AI in hiring is that it can reinforce existing biases. If an algorithm is trained on past hiring data-and that data has skewed toward certain backgrounds, schools, or demographics-then the AI will replicate those patterns.

At Mixmax, we don’t rely on automated decision-making. As a recruiter, I use AI tools to help draft outreach or summarize candidate feedback, but I still review every application manually. Our hiring is structured, but human.

In my coaching work, I advise clients to write resumes and LinkedIn profiles that are both ATS-friendly and human-readable. But ultimately, no algorithm should replace thoughtful hiring decisions grounded in context.

Tech should support fairness, not shortcut it.

Ydette Macaraeg
Marketing Coordinator, ERI Grants

Ydette Macaraeg – ERI Grants

In the nonprofit sector, one serious adverse consequence of AI-driven hiring is the perpetuation of systemic inequities that directly contradict our mission-driven values.

AI algorithms often reflect historical hiring biases, potentially screening out candidates from underrepresented communities who bring essential lived experiences to our work. This is particularly damaging in grant-funded organizations where diversity, equity, and inclusion aren’t just buzzwords—they’re often funding requirements and core to our effectiveness.

Our organization mitigates this risk through a hybrid approach: using AI for initial resume screening while ensuring human reviewers from diverse backgrounds evaluate all candidates who advance.

We’ve also implemented bias audits of our AI tools, partnering with local universities to analyze our hiring data for disparate impact. Additionally, we maintain structured interview processes with standardized questions and diverse interview panels to counteract algorithmic bias.

The key is treating AI as a tool to enhance, not replace, thoughtful human judgment in building teams that truly reflect the communities we serve. That’s how impactful grants fuel mission success.

Ishdeep Narang, MD
Child, Adolescent & Adult Psychiatrist, Founder, ACES Psychiatry

Ishdeep Narang, MD – ACES Psychiatry

Our work in psychiatry is built on a foundation of human connection. That’s why I see the biggest danger of AI in hiring as its inability to gauge a candidate’s therapeutic presence. An algorithm can screen a resume for keywords like ’empathy’ or ‘compassion,’ but it can’t detect the genuine warmth, clinical intuition, and unwavering stability a person projects in a room.

That felt sense of safety is the bedrock of a therapeutic relationship, whether you’re working with a child who’s too scared to speak or an adult who has lost all trust in others. It’s this intangible quality that allows a patient to feel seen and begin to heal.

To mitigate this risk, I’ve made our hiring process deliberately human. While technology can handle the initial application, its role ends there. I personally meet with every candidate we seriously consider, not just to review their experience, but to understand who they are as a person. I’m looking for the things an AI simply can’t quantify.

I’m reminded of a colleague I once worked with. An AI screening their resume would have likely passed them over for someone with more prestigious credentials. But I saw firsthand the incredible humility and deep care they showed when discussing a challenging past case. That’s the kind of genuine empathy you simply can’t program an algorithm to spot.

In a field built entirely on human connection, the ultimate hiring decision must be a human one. For me, that approach is non-negotiable.

Andrew Peluso
Founder, What Kind Of Bug Is This

Andrew Peluso – What Kind Of Bug Is This

One serious risk I see with AI-driven hiring is over-reliance on pattern recognition that unintentionally filters out qualified but non-traditional candidates.

In digital marketing, some of our best hires didn’t have agency backgrounds or traditional degrees—they came from journalism, teaching, even theater. However, many AI screening tools heavily weigh resume keywords, which tends to reward individuals who already know how to “speak the language” of the industry. That creates a feedback loop where the same types of profiles continue to rise to the top, and you miss out on diverse perspectives that often lead to stronger creative and strategic work.

To mitigate this, we made a conscious decision to keep our first-round screening partially manual, especially for content and strategy roles. We use tech for volume management—like filtering for basic writing skills or location—but we don’t let AI decide who moves forward. We also include blind writing assessments early in the process.

That levels the playing field and allows us to evaluate candidates based on output, not just their resume history. It takes more time, but it’s helped us build a team with a broader range of thinking—and in our industry, that’s a competitive edge.

Joe Spisak
CEO, Fulfill

Joe Spisak – Fulfill

One serious adverse consequence of AI-driven hiring is algorithmic bias that can perpetuate workforce homogeneity. When AI systems are trained on historical logistics industry data, they risk reinforcing existing workforce patterns rather than promoting diversity.

The logistics industry already faces challenges with representation across different demographics. If AI hiring tools learn from this historical data, they may inadvertently screen out qualified candidates from underrepresented groups who don’t fit the “typical” profile, limiting perspectives and innovation potential within our partner network.

At Fulfill, we’ve implemented a hybrid approach to mitigate this risk. Our AI tools assist with initial candidate screening for our network of 650+ fulfillment partners, but we never allow them to make final decisions. Our human experts review recommendations, applying contextual understanding that algorithms lack. We’ve also invested in diverse training datasets and regular algorithmic audits to detect potential bias patterns.

I’ve personally witnessed how diverse teams deliver superior results for our eCommerce clients. One of our most successful partners initially struggled with staffing challenges until they revamped their hiring practices to be more inclusive. They now maintain a culturally diverse workforce that brings unique perspectives to problem-solving, particularly valuable when handling fulfillment for clients with global customer bases.

The real value in matching eCommerce businesses with the right partners comes from understanding nuanced needs that pure algorithms might miss. That’s why we’ve built our platform to combine technological efficiency with human expertise – creating more opportunities while ensuring fairness in an industry that depends on diverse talent to solve complex logistics challenges.

Rae Francis
Counselor & Executive LifeCoach, Rae Francis Consulting

Rae Francis – Rae Francis Consulting

One of the most serious risks of AI-driven hiring isn’t just bias in data – it’s the erosion of human connection. While AI can be helpful in screening resumes, it can’t assess presence, empathy, or emotional intelligence – qualities that shape not just how someone performs, but how they connect, communicate, and contribute to a team.

Culture isn’t built through credentials alone. It’s built in the in-between – the way someone responds to pressure, the rhythm of conversation, the energy they bring into a room. Those things can’t be captured in data, but they’re often what determine whether someone strengthens or destabilizes a company’s culture.

And when it comes to bias, we need to be honest: if overcoming our own internal biases is hard, imagine the risk of an algorithm trained on decades of biased data – one that operates at scale, without reflection or accountability. Bias isn’t just maintained through AI, it’s multiplied.

Steve Ollington
ADHD Researcher, ADHDworking

Steve Ollington – ADHDworking

Back in 2022 the BBC ran a documentary called ‘Computer Says No’, which suggested the programming behind AI interviews was discriminatory towards neurodivergent people – for example, tracking eye content and facial expressions, which would be biased against people with Autism.

The program suggested AI interviews could be made more inclusive, if the companies and people behind the technology learned about neurodivergence so they could factor that in.

That was three years ago, but unfortunately the issue still doesn’t seem to be on the developers radars. That’s a shame, because it could be used to go the other way, removing some human biases and making recruitment fairer.

Hopefully some of the businesses using this AI will begin having neuroinclusion as part of their criteria for purchase soon – which will lead to the developers of the technology ensuring the (neuro)diversity of their training data.

Martin Weidemann
Owner, Mexico-City-Private-Driver.com

Martin Weidemann – Mexico-City-Private-Driver

One of the most serious risks I’ve seen with AI-driven hiring is how easily it can codify human bias under the illusion of objectivity.

Early on, we tested an AI-based screening tool to help preselect drivers. On paper, it seemed perfect—fast, data-driven, and consistent. But within a few weeks, we noticed a trend: local applicants from low-income neighborhoods in Mexico City were being filtered out disproportionately.

The algorithm had learned to prioritize “punctuality” using proxies like previous job addresses, but what it really did was penalize people who lived further from wealthier zones—where traffic is unpredictable and transit infrastructure lacking. The system had no context for the realities of commuting in Mexico City.

We immediately pulled the plug.

Since then, we’ve gone back to human-led screening, but with one key upgrade: we now use AI only as an assistive tool—not a gatekeeper. It flags applications for review, but final decisions always rest with a trained human who understands local nuance and context. And we track the demographic impact of every hiring round to ensure we’re not repeating mistakes behind the scenes.

For us, tech is there to scale human empathy—not replace it.

The HR Spotlight team thanks these industry leaders for offering their expertise and experience and sharing these insights.

Do you wish to contribute to the next HR Spotlight article? Or is there an insight or idea you’d like to share with readers across the globe?

Write to us at connect@HRSpotlight.com, and our team will help you share your insights.

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20 Leaders Tell You Why Organizations Cannot Ignore the DEI Shift – Part 2

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20 Leaders Tell You Why Organizations Cannot Ignore the DEI Shift – Part 2

Workforce Demands

Customer demands and various external factors – such as the pandemic, racial and social injustice, political divisiveness, economic pressures and the like – have resulted in increased mobilization around DE&I in the last few years, and CEOs and C-Suites are starting to recognize the importance – and competitive advantage — of a diverse and inclusive workplace. They are no longer debating the business case but are now focused on how to operationalize DE&I to drive tangible outcomes.

Anuradha Hebbar HR Spotlight

Inclusion is a solid predictor of employee engagement, and we’ve seen an increase in employees expressing concerns about such things as a lack of inclusion and psychological safety at work.

Anuradha Hebbar,
Partner & Global Lead, DEI Practice, Kincentric

But what’s different now — and what we think is the biggest reason that the shift is here to stay — has to do with employees themselves.

Our global employee engagement research shows that inclusion is a solid predictor of employee engagement, and we’ve seen an increase in employees expressing concerns about such things as a lack of inclusion and psychological safety at work. As a result, and unlike never before, employees are placing pressure on companies to take meaningful actions around DE&I and are using their voices to demand change, making it impossible to not take this shift seriously.

Anuradha Hebbar, Partner & Global Lead, DEI Practice, Kincentric

Need for Lasting Change

We have been doing what is now called DEI consulting for approximately 40 years. This work started to ramp up around conversations of Affirmative Action – when the “diversity hiring” was being encouraged, and very often without the thought of how to retain and support the “diverse hires” to feel included and like they belong. Our world is a diverse one, and as we continue thinking about social cohesion – whether in our workplace, communities, families, and as a society, we need to think about how we can best have effective cross-cultural (all differences) dialogue.

There is still much work to be done – we are noticing a shift in the past couple of years to a realization that this is not a quick fix, 1-hour workshop that clients often think they want. The shift we notice is in the clients own realizations that it is (and needs to be) deep work – which is why the model our founders developed (based in clinical psychology – transactional analysis) has been so effective. It takes into consideration the three dimensions of change needed to make a lasting impact (affective, behavioral, and cognitive).

Elika Dadsetan, CEO & Executive Director, VISIONS Inc.

Current Realities

We know that women and people of color do not feel the workplace is fair and indeed, it has not been designed for them. And they are leaving in great numbers–making many workplaces less and less diverse. Ignoring the need to retain and recruit diverse talent, will result in companies OUT OF TOUCH with current realities–and their clients and customers which will mean losing money and market share. What’s more consumers and clients are starting to ask these questions on DEI of their brands and vendors.

Amy-Willard Cross HR Spotlight

Ignoring the need to retain and recruit diverse talent, will result in companies OUT OF TOUCH with current realities–and their clients and customers which will mean losing money and market share.

Amy-Willard Cross,
Founder, Gender Fair

Gender Fair has unpublished proprietary data that says the people care the most about protections from harassment and equal pay. Workplaces are falling short when it comes to the above, and many other things. Since 2016, Gender Fair measures public facing consumer companies on how they serve women across 5 categories (leadership, employee policies, advertising, diversity reporting philanthropy). About 85% of companies fall short–with little women’s leadership, lacking policies or parental leave not doing pay studies etc.

Amy-Willard Cross, Founder, Gender Fair

Work Environment Diversity

Diversifying the hiring process has become an essential piece of modern work culture, but perhaps more importantly, a diversified team shows increasingly greater positive results than their homogenous counterparts – and the numbers are there to prove it. Three in four job seekers and workers prefer diverse companies, and diverse management has been shown to increase revenue by 19%, according to statistics.

That’s why, since I joined the LinkSquares team in 2019, I have spearheaded initiatives to create a more diverse environment at LinkSquares, including improved hiring practices that better include underrepresented groups in our candidate pools and interview panels. In addition to this, we provide employees with unconscious bias training, have created an employee-run DEI committee, set up ERGs, and launched inclusive employee benefits like our universal parental leave.

Working alongside a diverse team at LinkSquares as both a woman and Asian American myself, I’ve seen firsthand from a business perspective how initiatives like these help produce better results. Our focus on DEI has helped us achieve 1582% revenue growth over the past 3 years. I’m proud that we’ve built a diverse culture at LinkSquares that welcomes and encourages employees to bring their whole selves to the company.

Juliette Kopecky, Chief Marketing Officer, LinkSquares

Competitive Hiring Advantages

A strong, consistent focus on DEI has historically been the first thing to go at many companies when the market experiences turbulence – consider the fact that the number of Black software engineers in the U.S. has stayed at 5 percent of the overall total for years – but it is more critical than ever to not step away from these efforts. These are the times when hiring inclusively matters the most to underrepresented talent. What is good for DEI is also good for overall hiring efficiency – the tradeoff here is a false one.

Jeffrey Spector HR Spotlight

Right now, the organizations that are able to invest in building a more intentional AND inclusive hiring process are going to have a huge competitive advantage as we emerge – as we always do! – from the current market disruption.

Jeffrey Spector,
Co-Founder & President, Karat

When hiring slows, you can focus more on building relationships with organizations and communities that you might not have otherwise, so that you can get a more diverse pool of candidates for all your jobs. Right now, the organizations that are able to invest in building a more intentional AND inclusive hiring process are going to have a huge competitive advantage as we emerge – as we always do! – from the current market disruption.

Jeffrey Spector, Co-Founder & President, Karat

Organizational Progress

In order to keep up in today’s world, organizations must attract forward-thinking clients, employees, and other stakeholders who are focused on diversity, equality, inclusion, and belonging (DEIB). While many companies today recognize and prioritize hiring diverse candidates, it is much more challenging to address and implement changes related to equity, inclusion, and belonging.

Employers may not know where to start and the concern of doing the wrong thing may prevent some companies from making impactful decisions surrounding DEIB. This makes sense given that initiatives in these areas are much more difficult to grasp and effectively implement. But, thanks to coaching organizations and their impact, companies no longer have to work alone when creating change related to DEIB.

In a recent thought piece by Activate 180, the company offers tips to help an organization kick-start its DEIB initiatives and explains how employee-focused programs can further an organization’s progress in these efforts.

Here are the ways that working with coaches can help support organizations in moving toward EIB initiatives:

  • Equity: By offering coaching to employees at all levels, coaching programs support organizations in providing equitable opportunities for the development, growth, and advancement of their entire employee base.
  • Inclusion: Through one-on-one coaching, experts teach tools that give employees confidence and empower them to share their opinions at work.
  • Belonging: Team or company-wide coaching sessions and team-building exercises facilitate companies in creating safe spaces where all employees can express themselves honestly.

Rod McDermott, CEO & Co-Founder, Activate 180

Need for Continual Commitment

Company leaders must take diversity and inclusivity as seriously as digital transformation. Unfortunately, many companies have failed to deliver on their DEI commitments. They must recognize it as a multi-year process that involves funding, resourcing, company metrics, change management, systems rebuild and the setting of employee-related goals.

If we use the digital transformation analogy, many companies are merely pausing at the Blackberry stage and saying, “Yep, we’re good.” That shortsighted approach can impact employee commitment, brand equity and customer loyalty.

Kim Clark, Owner, Kim Clark Communications

Employee Trust

Losing employee trust is the one thing that’s convinced me that we cannot afford to ignore the shift in prioritizing diversity and inclusivity in the workplace. 2020 was a year of awakening and reckoning resulting in a paradigm shift with employees demanding that their employers take a public stand against racism, and all forms of discrimination, and initiate change.

Simultaneously, many organizations took action by re-evaluating systems in comparison to how they impact the workforce, prioritized amplifying voices of the marginalized and racialized, and hired Diversity, Equity, and Inclusion (DEI) Leaders to implement and manage a path forward.

Shalaura Soliai HR Spotlight

2020 was a year of awakening and reckoning resulting in a paradigm shift with employees demanding that their employers take a public stand against racism, and all forms of discrimination, and initiate change.

Shalaura Soliai,
Vice President, DEI, Discovery Behavioral Health

Unfortunately, some corporate DEI initiatives lost momentum similar to the black square movement on social media. Because of this, employees are keenly watching with discernment to determine if their employer’s diversity and inclusivity strategy is rooted in performative or genuine allyship. Our teammates have entrusted leadership with fulfilling their commitment to engineer and sustain a more equitable workplace; if we lose their trust we are at risk of losing them.

Developing timely and intentional communications about DEI initiatives, employee demographics, updates, and outcomes (including the good, the bad, and the ugly) is a great way to ensure inclusivity remains a priority and foster employee trust.

Shalaura Soliai, Vice President, DEI, Discovery Behavioral Health

Company Culture

In the past several years, HR professionals have been at the forefront of leading DEI (Diversity, Equity, and Inclusion) initiatives in their workplaces to create a more equal playing field for all people.

As part of the mission, creating an inclusive culture and enabling alternative accessibility methods is becoming increasingly important. For this reason, HR teams have begun to emphasize DEIA (Diversity, Equity, Inclusion, and Accessibility) to truly embrace diversity in all its forms and address any challenges concerning accessibility considerations.

This broader focus allows comprehensive solutions to be created and encourages everyone in the organization to be conscious of not only cultural differences, but also physical limitations that could diminish someone’s ability to contribute effectively on the job.

Jennifer Morehead HR Spotlight

HR professionals have been at the forefront of leading DEI (Diversity, Equity, and Inclusion) initiatives in their workplaces to create a more equal playing field for all people.

Jennifer Morehead,
CEO, FlexHR

As HR professionals, it is our responsibility to ensure that organizations are actively striving to develop cultures and environments that are inclusive, equitable, and diverse. Flex HR’s DEI expert and HR consultant, Zarena C. Marcus, encourages companies to take a deeper look into the ways they have been operating their businesses in the past, prompting organizations to consider how they can implement DEI strategies effectively in order to facilitate the necessary changes.

One of the most important components of this process is including sensitivity training that has been tailored to the organization’s needs. A crucial part of making sure DEI efforts are successful is getting to know your employees on a more personal level, which allows you to understand their backgrounds and ensure that any environment you cultivate is one where every employee feels accepted, included, and heard.

Jennifer Morehead, CEO, FlexHR

Positive Branding

Performative attempts can have a strong negative impact on your brand. Employees are the loudest voices when it comes to company sentiment. It might be what they share with their friends, family, colleagues, and their network connections. Employees are the first to call out the company’s BS when attempting performative DEI. We saw many examples of that after George Floyd’s murder, like Anthropology, Starbucks, and many, many more. However, for those doing DEI work to meet their promises and commitments to DEI, you see improvement in employee retention and acquisition by attracting new talent. It’s not about doing DEI perfectly (as there is no such thing) but rather doing it as best to the company’s ability with an actual change in mind can shine a light on the company’s brand in a positive light.

Kim Flanery-Rye, Founder and Principal Consultant, MyKimisms

A Mix of Advantages No Organization can Ignore

While this list is indeed quite a comprehensive one, thanks to the varying reasons put forth by leaders from organizations not just understanding the shift but also committing to it, we also know that when an organization commits to DEI efforts in the long term, the list of advantages extends far beyond the elements mentioned here.

After all, it’s not just the employees and the organization that benefit; the impact of embracing diversity, equality, and inclusivity leaves an impression on social circles too.

Do you have a take on why an HR team is important, even if it’s a one-person team? Or is there another insight you’d like to share with readers across the globe?

Write to us at connect@HRSpotlight.com, and our team will help you share your insights.

20 Leaders Tell You Why Organizations Cannot Ignore the DEI Shift – Part 1

by

Ashley T. Brundage HR Spotlight
Rebecca Minor - HR Spotlight
Ruth Rathblott HR Spotlight
Brian Greenberg - HR Spotlight
Thanh Nguyen HR Spotlight
Robert H. Johnson Jr. - Founder, Principal, RHJ Consulting Group
Audrey Taylor HR Spotlight
Benjamin Okyere HR Spotlight

20 Leaders Tell You Why Organizations Cannot Ignore the DEI Shift – Part 1

The DEI Shift: 20 Leaders Speak Their Mind

The evolution of the global workforce may be a strong reason behind the increased adoption of DEI programs but what’s even more significant is that this is no longer just the prerogative of the workforce — it is the need of the organization too. Organizations can no longer afford to ignore the DEI shift, and these 20 leaders tell you why.

Need for Empowerment

The one reason you can’t ignore the shift in DEI is that all people want more Empowerment. In all my travels around the world to DEI events and non-DEI events this is the common thread that binds us as the 8 billion different people on the planet.

Ashley T. Brundage HR Spotlight

Every organization will reach a point in the future where the talent will all leave due to them not feeling empowered, therefore you need to make sure you have a DEI program and it has a strong connection to empowerment of all people.

Ashley T. Brundage,
Empowering Differences

People want to seize control of more authority to feel safer and in charge of their life but also at the same time we are bound by our need to also gain more power which are monetary items and usually time bound deliverables. Even people not typically seen as diverse are longing to be a part of a system that includes them where they can acquire more empowered resources.

Every organization will reach a point in the future where the talent will all leave due to them not feeling empowered, therefore you need to make sure you have a DEI program and it has a strong connection to empowerment of all people.

Ashley T. Brundage, Empowering Differences

High Cost of Ignorance

Despite many companies and organizations attempts to improve their support of LGBTQ employees and clients, there is still has a long way to go to foster a truly inclusive workplace, especially for trans folks.

First and foremost, this cannot be ignored because it is unacceptable for anyone to be discriminated against at work and studies show 47% of trans participants experienced at least some discriminatory behavior on a daily basis at work, such as being the target of transphobic remarks, being ignored, or being pressured to act in “traditionally gendered” ways (Thoroughgood et al, 2020). Participants reported increased hyper-vigilance and rumination at work which is not only dangerous for people’s mental health but also can cost a business.

The costs that are overlooked are decreased productivity, increased workplace dissatisfaction, higher turnover, and potential litigation. Meanwhile, organizations with trans-supportive policies saw positive increases in participants’ openness about their identities and their decreased experiences of discrimination at work (Ruggs et al, 2015) .

As people are increasingly out in the workplace, business cannot ignore the importance of DEI training. One in four LGBTQ+ members of Gen Z are nonbinary and they are the future of the workforce.

Rebecca Minor, DEI consultant, Gender Specialist

An Influential Factor

Companies can no longer avoid the shift to DEI as it is a major factor in recruiting and retaining talent. Secondly, it has been proven that diverse and inclusive companies perform better. However, the problem lies in the fact that most DEI initiatives are not addressing the real problems in the workplace and are not creating meaningful change.

Ruth Rathblott HR Spotlight

The C.U.R.E starts with understanding (U) our differences so that collectively the company can be more empathetic (E) in connecting (C ) with employees and demonstrating that they feel represented (R).

Ruth Rathblott,
Founder, Ruth Rathblott

As the author of Singlehandedly: Learning to Unhide and Embrace Connection, I have developed a unique approach, the C.U.R.E (connection, understanding, representation and empathy) framework, that is more authentic. It starts with understanding (U) our differences so that collectively the company can be more empathetic (E) in connecting (C ) with employees and demonstrating that they feel represented (R).

Ruth Rathblott, Founder, Ruth Rathblott

Business Benefits

One reason that I can’t afford to ignore the shift in diversity, inclusivity, and everything that goes with it is because of the immense benefits it has for businesses. The more diverse your team is, the more inclusive you are, and the more you’re able to understand other cultures and viewpoints, the better your business will be. All of this builds trust with customers, which means they’ll be more likely to buy from you.

I have seen this firsthand in my own company where the diversity of our employees has led to a much higher level of innovation. We have people from different backgrounds working together on projects who bring different perspectives and ideas to each task. This leads us to be able to innovate faster than if we were all working alone within our own bubbles.

Brian Greenberg, CEO, Insurist

Impact on Funding

VCs and boards will demand progress toward pay parity among their portfolio companies. While we’re seeing states like California mandate that companies report their pay data by sex, race and ethnicity to encourage more equitable pay, VCs and board members will outright require that portfolio companies set time-based targets and report progress on pay parity.

Thanh Nguyen HR Spotlight

Investors know that equitable companies perform better: they are more likely to beat competitors, win new markets and retain employees.

Thanh Nguyen,
CEO and Co-Founder, OpenComp

Investors know that equitable companies perform better: they are more likely to beat competitors, win new markets and retain employees. With VCs needing to be choosier about who they fund in the midst of economic uncertainty, startups will need to not only report their pay data to VCs/board members, but also rectify any gaps in order to land funding.

Thanh Nguyen, CEO and Co-Founder, OpenComp

A Foundational Necessity

Diversity, Equity & Inclusion is the glue that connects people and creates community. Now more than ever, prospective employees are asking about DEI during the interview process. Companies and leaders who want to succeed in the war for dynamic talent embrace DEI as foundational.

Data shows that organizations with an intentional and sustained commitment to DEI:

  • Deliver stronger performance and shareholder value
  • Have higher employee retention and lower turnover
  • Achieve greater employee satisfaction scores and higher engagement

Diversity, Equity & Inclusion is key to creating a psychologically safe environment where all people feel safe, seen valued and heard.

Robert H. Johnson Jr., Founder, Principal Consultant, RHJ Consulting Group

Behavioral Impact

Nearly all business problems (e.g., retention, poor representation of minorized employees in leadership positions) can be traced to organizational culture problems (beliefs, values, and behavioral norms). And organizational culture problems almost always come down to unconscious (and observable) biases that impact behaviors.

For example, I recently guided an organization that was losing talented female employees due to underlying bias (and behaviors) that females “be seen but not heard.” Females in the organization were discouraged from sharing opinions, speaking in meetings.

Amy Bonomi, Ph.D., MPH, Founder, Social Justice Associates

The Talent War

One reason why I’m convinced we can’t afford to ignore Diversity and Inclusion? I could quickly make a pretty long list, but to me, the most compelling reason is that a commitment to D&I has become table stakes for successfully competing in the war for talent.

Audrey Taylor HR Spotlight

Unlocking the power and performance of an increasingly diverse workforce is critical for any organization to drive innovation and better decision making, as well as to mitigate business risk.

Audrey Taylor,
Managing Director & America’s Lead, DEI Practice, Kincentric

Multiple recent studies show a majority of the US workforce believes a company’s commitment to D&I is important when choosing an employer but also feel that their company’s commitment is not genuine and that the organization should do more to drive diversity and inclusion.

Unlocking the power and performance of an increasingly diverse workforce is critical for any organization to drive innovation and better decision making, as well as to mitigate business risk. The business case is clear – now is the time for companies to live up to the commitment and actually embed D&I to drive employee engagement and company performance.

Audrey Taylor, Managing Director & America’s Lead, DEI Practice, Kincentric

New Perspectives

You cannot ignore the diversity and inclusion shift because having a diverse team makes people feel included and welcomed. You want your team to feel a sense of belonging. Also, by having a diverse team, there are more ideas brought to the table and new perspectives that can offer a lot of value from a business perspective. Diversity brings more creativity that takes into consideration many different angles to reach a broader audience.

Kristen Fowler, VP & Practice Lead, Clarke Caniff Strategic Search

Right to Respect

We live in a world where the importance of diversity, inclusivity, and related values are being more and more realized. While this shift has been long overdue, we must continue to build upon it if we are to adequately ensure that everyone can walk through life with a sense of belonging.

One powerful reason why this shift cannot be ignored is that everyone has the right to feel safe, respected, and appreciated within their communities. As such, it is incumbent on all of us to do our part in making sure no one feels excluded or disadvantaged because of identity-based characteristics such as race, gender identity, religion, or ethnicity just to name a few.

Benjamin Okyere HR Spotlight

One powerful reason why this shift cannot be ignored is that everyone has the right to feel safe, respected, and appreciated within their communities.

Benjamin Okyere,
Founder, Stress Reliever

We must continually strive towards providing a level playing field so that others may realize their true potential regardless of whom they are and what they look like.

Benjamin Okyere, Founder, Stress Reliever

Hang On, There’s More!

The response to this question we posed to leaders was so overwhelming that we just couldn’t fit all of them in a single article! 

So head out to 20 Leaders Tell You Why Organizations Cannot Ignore the DEI Shift – Part 2 for 10 more valuable insights!

Do you have a take on why an HR team is important, even if it’s a one-person team? Or is there another insight you’d like to share with readers across the globe?

Write to us at connect@HRSpotlight.com, and our team will help you share your insights.