Can AI be biased? In this episode of AI Innovations Unleashed, Dr. JR and Casey Brightman unpack how algorithms inherit human flaws—and what we’re doing to fix them. From hiring tools to healthcare, it’s not just about tech—it’s about justice.

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Step into the transformative world of artificial intelligence with AI Innovations Unleashed. This podcast and its related blog explore how cutting-edge AI technology shapes industries, transforms businesses, and redefines what’s possible. Whether you’re a tech enthusiast, a business leader, or simply curious about the power of AI, this is your ultimate resource for staying ahead of the curve.
Each week, our expert host dives into the most exciting developments in AI, from breakthrough innovations and ethical dilemmas to real-world applications and success stories. With insights from data scientists, industry pioneers, and executive strategists, you’ll learn how companies leverage AI to drive growth, enhance efficiency, and tackle some of the world’s biggest challenges.
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- Emerging AI Trends: Stay updated on the latest advancements in machine learning, generative AI, and automation.
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AI Innovations Unleashed: The Great Freeze: Where Did All the Robots Go?
Join Dr. JR and Dr. Aris “Rusty” Thorne as they journey back to the “AI Winter,” a period of great promises and even greater disappointments. This episode dives into the dramatic downturn of AI research, exploring how a necessary market correction reshaped the entire field.
We’ll uncover:
- The Lighthill Report: Was this a fair critique or the hit piece that killed British AI research? Discover how a crucial paper on “combinatorial explosion” led to the first major freeze.
- Expert Systems: While the world lost faith in sentient robots, a quiet revolution was underway. Learn about the “Wild West” of AI, where boring but effective systems like MYCIN and XCON proved that narrow AI had real-world value.
- The Japanese Fifth-Generation Project: A high-stakes, multi-million dollar race to build a true AI. We discuss why this grand undertaking was a spectacular failure and what it taught the world about the limits of symbolic logic.
- The Hype Cycle: The hosts reflect on how history repeats itself, from the 80s to today’s debates on “hallucinations” and AI regulation.
- A Glimmer of Hope: Dr. Thorne hints at a new, “deep” idea that would eventually thaw the AI Winter and lead to the modern AI revolution.
It’s a fun, informative ride through AI’s dramatic past, perfect for anyone curious about how a period of crisis created the conditions for today’s innovation.
Tune in next week for Part 3: The Resurrection and the Revolution!
#AIInnovationsUnleashed #AIWinter #AIHistory #TechPodcast #TheGreatFreeze

? Episode Summary
Bias in AI isn’t a future problem—it’s happening right now. In this powerful third episode of our “May I Learn About AI?” series, Dr. JR and AI ethics researcher Casey Brightman explore how artificial intelligence can unintentionally (and sometimes dangerously) reflect the biases of its human creators.
We dig into real-world stories, from biased healthcare algorithms and hiring tools to flawed facial recognition and education software. Along the way, we explain how bias creeps into data, how it impacts real people, and what governments, businesses, and researchers are doing to push back.
This Mother’s Day episode reflects on the values of fairness and care—asking if our AI systems can be built to uphold them, and what role we play in shaping a more equitable digital future.
? What You’ll Learn
- What AI bias actually is (hint: it’s not about feelings—it’s about patterns)
- How training data and algorithm design can unintentionally lead to unfair outcomes
- Real-world consequences of AI bias in healthcare, hiring, policing, and education
- How emerging policies like the EU AI Act and NYC Local Law 144 are tackling the issue
- Global efforts in countries like India and Canada to build more inclusive AI
- Bias in generative AI tools like GPT and DALL·E—and how it shapes creativity
- What you can do to advocate for fairness and accountability in AI systems
? Mentioned In This Episode
- Algorithmic Justice League – https://www.ajl.org
- UNESCO Recommendation on AI Ethics – https://unesdoc.unesco.org
- NYC Local Law 144 – https://www.nyc.gov/assets/dca/downloads/pdf/about/LL144.pdf
- EU AI Act – https://digital-strategy.ec.europa.eu/en/policies/european-approach-artificial-intelligence
- Black in AI – https://blackinai.github.io
- Bolukbasi et al. (2016) on word embeddings bias
- Obermeyer et al. (2019) on healthcare algorithms and racial bias
? Call to Action
- Ask questions about how AI is used in your workplace or school.
- Advocate for transparency and fairness in tech tools.
- Support ethical AI organizations pushing for accountability.
- Stay tuned next week for our final episode: Can AI Be Creative?