Welcome to The Immersive Lens — the show where emerging tech meets creativity, education, and real-world impact. Hosted by Paul Engin (Professor of New Media) and Dave Ghidiu (Professor of Computer Science) at Finger Lakes Community College, this podcast dives into the technologies and creative innovations reshaping how we live, work, and learn—from AI and augmented reality to the future of media, design, and learning.

In this episode of The Immersive Lens, hosts Paul and Dave tackle the critical and complex issue of AI Bias. From training data that inadvertently stereotypes gender and race to algorithms that filter resumes unfairly, Paul and Dave explore how "machine learning" is often just "human mirroring."

They break down the different types of bias—including training, results, and intentional bias—and discuss real-world examples from major tech companies like Amazon and Google. The duo also introduces the concept of the "Algorithmic Bias Treadmill," explaining how social media platforms and AI models can create self-reinforcing loops that alter language and culture.

Finally, Dave shares a fascinating (and slightly concerning) report about "AI work slop" and how AI-generated content might be affecting professional reputations. It’s an eye-opening look at the ethical challenges we face as we integrate AI deeper into our daily lives.

Topics Covered:

• Types of AI Bias: Training, results, intentional, and human

• Real-World Failures: Amazon's resume bot, Google's photo labeling, and the "Pink & Blue" gender bias

• The Algorithmic Treadmill: How TikTok and social algorithms change language and culture

• AI & Reputation: The "work slop" phenomenon and how AI might be devaluing human creativity

Mentions: @Amazon @Google @TikTok @IBM @Microsoft @OpenAI @Twitter @TheVerge

🔗 Links & Resources:

FLX AI Hub: https://www.flcc.edu/ai/

FLCC New Media: https://newmedia.csc.flcc.cloud/

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Recorded at Finger Lakes Community College in the heart of New York’s Finger Lakes region.

https://www.flcc.edu/

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