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.
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Topics Covered in This Episode:
1. Understanding Cognitive Bias
2. Cognitive Bias in AI Models
3. Training Data and Model Development
4. Future of AI and Managing Bias
Timestamps:
02:00 Daily AI News
06:16 Cognitive Bias Mitigation Platform
08:50 AI Enthusiasm vs. Cautionary Tales
12:48 AI Bias Stems from Human Bias
16:14 Influence of System Prompts on Bias
19:46 AI Information Parsing Challenges
20:56 AI Training and Labeling Challenges
24:05 "Achieve AI Success with Expertise"
28:23 Bias and Diversity in AI Models
31:33 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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