Ep 476: Top Reason For AI Failure - Cognitive Bias
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Training data is biased. Humans are flawed. Which is a major reason AI can fail – cognitive bias. Anatoly Shilman, CEO of Cogbias AI, joins us as we chat about what cognitive bias is in AI, why it's important, and what we can all do about it. Newsletter: Sign up for our free daily newsletter)**More on this Episode: **Episode Page)**Join the discussion: **Ask Jordan and Anatoly questions on AI bias)Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup)Website: YourEverydayAI.com)Email The Show: [email protected])**Connect with Jordan on **LinkedIn)**Topics Covered in This Episode:1. Understanding Cognitive Bias2. Cognitive Bias in AI Models3. Training Data and Model Development4. Future of AI and Managing BiasTimestamps:**02:00 Daily AI News06:16 Cognitive Bias Mitigation Platform08:50 AI Enthusiasm vs. Cautionary Tales12:48 AI Bias Stems from Human Bias16:14 Influence of System Prompts on Bias19:46 AI Information Parsing Challenges20:56 AI Training and Labeling Challenges24:05 "Achieve AI Success with Expertise"28:23 Bias and Diversity in AI Models31:33 Addressing Cognitive Bias in Data

**Keywords:**Cognitive bias, AI failure, large language models, ChatGPT, Gemini, Copilot, Claude, bias reflection, AI news, AI sales tools, Microsoft, Salesforce, Microsoft 365 Copilot, Sales Agent, Sales Chat, Google, AI mode, Google One AI Premium, Gemini 2.0, OpenAI, AI agents, enterprise automation tools, confirmation bias, heuristic, framing bias, hallucination, training data, model perception, data labeling, reasoning models, agentic environments.

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