Everyday AI Podcast – An AI and ChatGPT Podcast Ep 476: Top Reason For AI Failure - Cognitive Bias
49 snips
Mar 6, 2025 
Anatoly Shilman, CEO and co-founder of CogBias AI, dives into the impact of cognitive bias on AI systems. He discusses how human flaws seep into training data, leading to AI failures. The conversation highlights innovative methods for detecting and mitigating these biases in communication and decision-making. Anatoly emphasizes the importance of diverse inputs and continuous evaluation to improve AI reliability. He also explores the balance between AI enthusiasm and caution, urging a 'trust but verify' approach in human-AI interactions.
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Trust but Verify
- Approach AI with a "trust but verify" attitude.
- Recognize that AI, like humans, is fallible and can make mistakes due to biases.
Cognitive Bias Definition
- Cognitive bias is defined as irrational beliefs based on our perceptions.
- These biases influence our thinking and decision-making processes.
Beliefs and Perceptions in LLMs
- Beliefs and perceptions, which are not fact-based, influence LLMs.
- Engineers program AIs with their own biases, affecting how information is processed and presented.
