Ep 476: Top Reason For AI Failure - Cognitive Bias

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 newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Anatoly questions on AI biasUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics 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 DataKeywords: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.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)