Can AI Break the Bias? Or Just Make It Worse?
John Bailey
Transformative Leader & Trigger Man: Catalyzing Change in Growth Marketing, Product Development, and Innovation | EQ Leadership Coach | AI & ML Adoption Specialist | Let's Trigger Your Transformation!
If we use it wisely, AI could be a powerful tool in fostering inclusion. Let’s explore how.
I’ve seen firsthand how well-intentioned diversity efforts can fall flat when real human connection is missing. In today’s AI-driven world, many companies assume they can solve inclusivity challenges by simply implementing new technology. But here’s the truth: workplace culture isn’t a technical problem to be solved with software. It’s a human challenge that demands empathy, adaptability, and skill.
"Workplace culture isn’t built by algorithms. Yet, if applied carefully, AI could amplify inclusivity by recognizing talent outside traditional boxes."
As AI becomes more embedded in hiring and workplace culture, we must ask ourselves: Can it help build inclusive workplaces? Or will it keep repeating the biases of the past? Research suggests that AI can do both, depending on how we use it. LinkedIn’s latest survey found that 63% of U.S. employees believe soft skills—like communication, problem-solving, and teamwork—are more important now than ever. The human touch drives a positive, inclusive environment in a world where AI is reshaping how we work.
Let’s dig into the core challenges and the path forward for leaders who want to harness AI for a culture that actually values diversity and inclusion.
The Bias Dilemma: Is AI Mirroring the Problem We Want to Solve?
Here’s the issue: AI learns from data, and that data often contains biases. When AI relies on historical data, it picks up on long-standing prejudices in the workplace. A recent study by MIT Sloan found that some AI tools rated candidates lower based on subtle language, educational background, or personal details linked to race and gender. AI becomes a mirror, reflecting the bias embedded in its training data.
Former Pinterest CEO Ben Silbermann hit the nail on the head when he said, “Tech’s biggest failure is thinking it can solve human problems without a human touch.” AI can be a powerful tool, but without human insight and oversight, it risks amplifying the blind spots we’re trying to address.
“Tech’s biggest failure is thinking it can solve human problems without a human touch.” - Ben Silberman, Former CEO Pinterest
Intentional AI: Three Steps to Use AI for True Inclusion
If we want AI to drive inclusion, leaders need to be proactive, hands-on, and intentional. Here are three ways to ensure AI supports an inclusive workplace:
Real-World Examples: How Some Companies Are Using AI for Transparency and Inclusion
Some companies are already leading the way in using AI with purpose. Accenture, for instance, implemented an AI-powered platform for real-time feedback on workplace culture. Employees share their experiences anonymously, giving leadership a clear view of potential issues.
Meanwhile, Salesforce has been using AI to track diversity metrics with inclusion scorecards that hold leaders accountable. Salesforce’s Chief Equality Officer, Tony Prophet, explains, “AI has been a game-changer in helping us see what we didn’t know. It shows us where we fall short and helps us target our inclusion goals with precision.” By combining AI insights with human accountability, these companies ensure that technology enhances, rather than replaces, their commitment to diversity.
“AI has been a game-changer in helping us see what we didn’t know. It shows us where we fall short and helps us target our inclusion goals with precision.” - Tony Prophet, Chief Equality Officer at Salesforce
??Insight: AI Can Amplify Bias—or Dismantle It - AI can reinforce or dismantle biases, depending on our approach. Responsible AI fosters openness, inclusion, and adaptability.
Take Action: Use AI to Open Up Conversations
Ready to put AI to the test? Start with something simple but impactful: try an AI tool this week to collect anonymous feedback on your team’s culture. Don’t guess where the blind spots are—get real insights from your team and use AI to bring hidden issues to light. This data can open doors to conversations that help leaders course-correct in real-time.
Final Thought
AI has massive potential to shape workplace culture, but it’s only as impactful as the intentions behind it. Leaders who prioritize human oversight in AI will build teams that aren’t just efficient but genuinely inclusive. Technology alone can’t change culture. It’s how we blend data with empathy that drives meaningful change.
If we want workplaces where everyone feels valued, we must approach AI with purpose, using it to reveal perspectives we might otherwise miss. The future of workplace culture is in our hands, not in the algorithms. Leaders who blend AI’s insights with timeless skills like communication, empathy, and adaptability will build teams that thrive, no matter how fast technology evolves.
About John Bailey
I am an entrepreneur, executive, father, and coach with over 15 years in product development, marketing, business growth, and leadership. As the founder of The Mindset Genesis , a coaching and advisory firm, I work with top executives, entrepreneurs, and influencers to help them unlock their full potential through mindset coaching, emotional intelligence, and practical business insights. Known for my non-traditional approach, I challenge clients to face obstacles head-on—breaking through barriers rather than avoiding them.
With expertise in growth strategy, cognitive psychology, and resilience-building, I empower leaders to excel at the highest levels. I integrate real-world experience with innovative strategies for transformational results. Writing and sharing these insights is my passion, and I welcome your thoughts and feedback—follow me for more on leading with purpose.
Disclaimers(s): The insights shared in this article are based on personal experiences and research in leadership, psychology, and physical resilience training. This article is for informational purposes only and should not be considered a substitute for professional advice. Readers should seek appropriate guidance before undertaking any new physical or mental challenges. Individual results may vary.