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Critical Thinking and AI


The campus was alive with energy—parents carrying shopping bags, students laughing as they mapped out their next four years, and my daughter, Prestyn, planning for her future. This was our last college visit before moving in for good this fall. In one of the parent sessions, one message stood out above the rest:


Critical thinking is the skill of the future

I smiled to myself. I couldn’t agree more. After decades of leadership and workforce experience and advanced training in generative AI, I knew they were right.


Critical thinking—questioning, analyzing, challenging—has never been more essential. In this era of AI, critical thinking is no longer optional. It is the skill that will separate those who can thrive from those who will drown in information that may not tell the full story.


I couldn’t wait to meet back up with Prestyn to share yet another moment of confirmation that she had indeed chosen the right place to continue her educational journey.

 

A Simple Birthday Query


The First Question

I asked AI:

Other than my birth (LOL), what other amazing things happened on October 13?

The answer came back confidently:

  • The U.S. Navy was founded.

  • The White House cornerstone was laid.

  • Nero became Roman Emperor.


The Second Question

I typed again:

"What major events in Black history happened on October 13?”

This time, the response was different:

  • Edith Spurlock Sampson, the first African American woman appointed to the United Nations, was born in 1898.

  • Angela Davis was arrested in 1970, sparking global protests and a rallying cry for justice.

  • Maryland ratified its emancipation constitution in 1864, freeing enslaved people before the 13th Amendment.


Why These Matter

  • Edith Sampson’s appointment represented international recognition of Black women scholars and diplomats at a time when such roles were exceedingly rare.

  • Angela Davis’s arrest highlighted Black radical thought and the legal system’s treatment of activists.

  • Emancipation in Maryland before the 13th Amendment shows that progress toward freedom took place on multiple legal fronts throughout the Civil War era.

 

Two questions. Two answers. Two very different versions of history.

 

Why Did We Have to Ask Twice?

This wasn’t just an AI problem—it was a history problem.


AI learns from existing data—news archives, encyclopedias, and history books. If those sources center Eurocentric narratives while treating Black history as an afterthought, AI will mirror that bias.


The AI didn’t “forget” Edith Sampson or Angela Davis. It was never trained to consider those stories as equally important in the first place.

 

Our Rewrite Journey

I decided to turn this moment into a learning lesson with Prestyn—a story about how a simple birthday question revealed something much bigger about how history is told.


When I asked ChatGPT to help to explain its biased response, the first answer placed the burden on me:

“If you want to see inclusive stories, you have to ask differently.”


That didn’t sit well with me at all! Why should I—or anyone—have to ask twice to get the full truth?


So, I pushed back:

“This isn’t about asking better questions. This is about building systems that tell better stories by default.”


ChatGPT and I had another lengthy conversation about the piece I wanted to write. In doing so, I realized the rewrite itself was an act of critical thinking—examining what was missing, challenging the first answer, and reshaping the narrative.


Critical Thinking in the AI Era

When Prestyn and I were debriefing our experiences at the university event, I looked at her and said, “This is what I want you to take with you into college…this is what I mean by critical thinking.”


Critical thinking today means:

  • Recognizing what’s left unsaid.

  • Asking why certain voices are amplified while others are erased.

  • Demanding systems that reflect the whole truth—not just the parts deemed ‘mainstream.’

 

AI Is a Mirror of Our Society

The omissions we see in AI responses are not random. They reflect centuries of historical erasure, where the contributions of Black people and women were minimized or ignored.

Unless AI is intentionally built with inclusive data, it will continue to replicate these patterns. Edith Sampson’s diplomacy, Angela Davis’s activism, and the emancipation of enslaved people in Maryland aren’t “extras.” They are history.

 

The Lesson for Students and Parents

Prestyn’s generation will grow up with AI as a constant companion—researching, learning, even writing. But AI is not the final authority. Critical thinking is.


The future belongs to those who can:

  • Question the first answer.

  • Spot the gaps.

  • Refuse to settle for half-truths.


The Lesson for Corporate Leaders

In the era of AI-driven decision-making, leaders cannot afford to delegate critical thinking to algorithms. AI is powerful, but it reflects the data—and biases—it’s built upon. True leadership requires oversight, discernment, and accountability.


The future belongs to those who can:

  • Interrogate the data behind the decisions.

  • Identify bias and its business impact.

  • Refuse to adopt technology without ethical alignment.


Quote from Corporate Leader, Reggie Romain
Quote from Corporate Leader, Reggie Romain

The Lesson for Educators and Policymakers

As AI reshapes how we learn, work, and interact, educators and policymakers hold the responsibility of ensuring future generations are prepared not just to use AI, but to question and improve it. AI cannot replace human judgment, ethics, or contextual understanding—and our systems of learning and governance must reflect that.


The future belongs to those who can:

  • Integrate AI literacy and critical thinking into education.

  • Create policies that address bias in technology.

  • Champion equitable access to both technology and truth.

 

A Call to Action

October 13, my birthday, taught me something unexpected:

The whole truth should never require a second question.


Parents - Teach your children that the most powerful thing they can do is think deeply and demand better answers.


Students – When you use AI or any other tool, don’t just accept the first thing it gives you. Ask what’s missing. Ask who’s missing.


Corporate Leaders – Refuse to adopt technology that lacks ethical alignment.


Educators and Policymakers – Equip future generations to question and improve AI and create policies that prioritize accountability and equity.


Truth isn’t just about what’s said. It’s also about what isn’t.

 
 
 

The rapid adoption of generative artificial intelligence (AI) is reshaping industries and societal structures. However, this technological surge brings to light significant disparities, particularly concerning the representation and impact on minority communities, notably Black Americans.


Today’s U.S. Census Bureau's release of the Business Trends and Outlook Survey (BTOS) data on November 21, 2024, offers a comprehensive view of current economic conditions and business expectations. Among the various insights, the most provocative trend is the increasing integration of artificial intelligence (AI) across diverse business sectors. This development is reshaping traditional business models and strategies, presenting both opportunities and challenges for entrepreneurs and established enterprises alike.


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The Rise of AI in Business Operations

The BTOS data highlights a significant uptick in AI adoption among businesses, with a notable percentage reporting the implementation of AI technologies to enhance operational efficiency and customer engagement. This trend underscores a shift towards leveraging AI for tasks such as data analysis, predictive maintenance, and personalized marketing strategies. The integration of AI is not limited to large corporations; small and medium-sized enterprises are also embracing these technologies to remain competitive in an increasingly digital marketplace.


Implications for Entrepreneurs and Business Leaders

For entrepreneurs and business leaders, the proliferation of AI presents a dual-faceted scenario. On one hand, AI offers tools to streamline operations, reduce costs, and gain deeper insights into consumer behavior. On the other hand, it necessitates a reevaluation of existing business models and the development of new skill sets to effectively harness AI capabilities. The challenge lies in integrating AI in a manner that aligns with the company's objectives while ensuring ethical considerations and data privacy are maintained.


Penetration of Generative AI in the U.S.

Generative AI tools have swiftly integrated into various sectors. By August 2024, nearly 40% of U.S. adults aged 18 to 64 had utilized generative AI in some capacity, underscoring its widespread acceptance and application. Federal Reserve Bank of St. Louis

This rapid integration is evident across industries, with sectors like advertising and marketing reporting a 37% adoption rate among professionals. Statista


Representation of Minorities in AI

Despite the broad adoption of AI technologies, the representation of minority groups within the AI workforce remains disproportionately low. Black individuals constitute approximately 12% of the U.S. workforce but represent only 8% in tech roles. This disparity is more pronounced at the executive level, where Black professionals hold a mere 3% of technology executive positions within Fortune 500 companies. McKinsey & Company


The underrepresentation extends to other minority groups as well. Hispanic workers, for instance, make up 18.7% of the total U.S. workforce but only 9.9% of the high-tech workforce. Similarly, women are significantly underrepresented, comprising less than 25% of the high-tech workforce, despite being nearly half of the overall workforce. Equal Employment Opportunity Commission


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Impact on the Black Community

The proliferation of AI technologies poses both opportunities and challenges for Black communities. A McKinsey report highlights that generative AI could potentially widen the racial economic gap in the United States by $43 billion annually if not implemented thoughtfully. McKinsey & Company


This projection underscores the necessity for inclusive AI development and deployment strategies to prevent exacerbating existing disparities.

Moreover, biases inherent in AI systems can disproportionately affect Black individuals. Studies have shown that AI models trained on biased data can perpetuate stereotypes and lead to discriminatory outcomes in areas such as hiring, lending, and law enforcement. Nature


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Addressing the Disparities

To mitigate these challenges, several measures are essential:

  • Diverse AI Development Teams: Incorporating individuals from varied racial, ethnic, and gender backgrounds in AI development can help identify and rectify biases in AI systems. Wharton Knowledge

  • Bias Mitigation in AI Training Data: Ensuring that AI models are trained on diverse and representative datasets can reduce the risk of biased outcomes. Nature

  • Policy and Regulatory Oversight: Implementing policies that promote transparency and accountability in AI applications can safeguard against discriminatory practices.


While generative AI offers transformative potential, it is imperative to address the disparities in representation and impact on minority communities. By fostering inclusivity and equity in AI development and deployment, society can harness the benefits of AI while minimizing adverse effects on historically excluded groups.

 
 
 
  • Writer: Tchicaya Robertson
    Tchicaya Robertson
  • Nov 19, 2024
  • 2 min read

Updated: Nov 21, 2024

That's what I said to myself the day after the last email, my last zoom call, my last CBT (computer-based training), my last team meeting after leaving a company that I served with my heart and soul for almost 18 long hard years. I did hard time ya'll. But every second was worth it. I learned so much and met some truly amazing people.

Dr Tchicaya Ellis Robertson, Founder & CEO, TRIBE Insights, Inc.
Dr Tchicaya Ellis Robertson, Founder & CEO | TRIBE Insights, Inc.

Me in the Afterlife

My name is Dr. Tchicaya Ellis Robertson. I am long-time corporate leader pouring all of my skills, talents, education, and passion into just a few things. I'm going deep but not so wide. I will be writing to you infrequently. Mostly, when I have something to say. There will be no pre-packaged content that zips off everyday or even every week. I can probably commit to a monthly meeting of the minds. When I do, I hope you're there to hang out with me for a few hours or even days as conversations ensue here or on my socials. In the meantime, I'll be running my research consultancy, my entrepreneurship education programs through my non-profit, doing real-estate deals, creating new business models, crunching numbers, and anything else that makes me happy!


What I'm Doing Now

I always said if I weren't in corporate America and I would be writing more, reading more, doing more. I've not written publicly, I've not read a whole book yet (unless you count my audible reads), and I'm not really doing a whole lot more either. I'm streamlining. I minimizing. I'm working on cultivating the best version of me from this point forward. I am still unapologetically me: A single mom with a college-bound high school senior who loves statistics, psychometrics, and learning and creating new things - mostly businesses.



What to Expect

Here's what you should expect in my blog series:

  • Lighthearted commentary on newsworthy events, which may or may not include things actually reported on the news.

  • Super serious calls to action resulting from published research reports through TRIBE's Thought Leadership program or other sources.

  • Insights in venture capital, talent and skilling, identifying and mitigating bias in GenAI applications, healthcare access and utilization, and related topics.


As an entrepreneur, all of these topics will touch you in one way or the other.


And Remember...

Life is long, so eat the cake anna-mae, drink the chai tea, make the investment, hit the gym, and laugh often! Oh, and by the way, if a tree falls in the forest and no one is around to hear it, does it make a sound? 🌳🤔

Drop a brief comment to let me know you're tuned in.

 
 
 
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