Everyday AI Podcast – An AI and ChatGPT Podcast EP 546: AI Bias Exposed: Real-World Strategies to Keep LLMs Honest
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Jun 13, 2025 
Anatoly Shillman, CEO of Cod Bias AI, joins to discuss the pressing issue of cognitive bias in AI. He highlights how human bias seeps into AI models and stresses the importance of quality prompts to ensure more accurate outputs. The conversation covers real-world strategies for bias mitigation and the necessity of diverse perspectives in AI development. Anatoly also warns against blindly trusting AI and advocates for a 'trust but verify' mindset, reminding us that AI should enhance, not skew, our communications.
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Detect and Mitigate Bias Early
- Use specialized platforms to detect and mitigate cognitive bias in communication.
- Improve question framing and emails by rewriting biased content into clearer, less biased versions.
AI Reflects Human Biases
- AI models reflect human biases because they are created by humans.
- Blindly trusting AI output is dangerous since AI often produces plausible but false information.
Cognitive Bias Explained
- Cognitive bias stems from irrational beliefs based on our perception.
- Biases are not inherently bad; they help us make decisions efficiently but can also mislead.
