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Why are AI models so biased? Whether it's ChatGPT or an AI image generator, LLMs often have certain biases and tendencies. Nick Schmidt, Founder & CTO of SolasAI & BLDS, LLC, joins us to discuss how to understand and fix biased AI.
Newsletter: Sign up for our free daily newsletter)**More on this Episode: Episode Page)Join the discussion: Ask Nick and Jordan questions about AI)Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup)Website: YourEverydayAI.com)Email The Show: [email protected]Connect with Jordan on **LinkedIn)Timestamps:[00:01:20] Daily AI news[00:04:00] About Nick and Solas AI[00:07:14] Algorithm misuse can lead to discrimination[00:11:54] 3-step burden shifting process to address discrimination[00:14:18] Internet usage leads to biased data collection[00:17:30] AI bias, accessibility, and user control insights[00:22:59] Algorithm fairness through regulations[00:26:16] Algorithmic decisioning and human biases[00:27:32] How to address biases in AI models?**Topics Covered in This Episode:1. Prevalence of Bias in AI Models2. Detection and Mitigation of Bias in Algorithms3. Practical Solutions for Addressing Bias in AIKeywords:**AI bias, discrimination, image generators, language models, input data, burden shifting process, biased information, societal biases, fairness, exclusion, collective punishment, biased AI, practical advice, best practices, everyday users, legal framework, AI news, smart devices, NVIDIA, animated films, detection, mitigation, discriminatory outcomes, generative AI, model development, algorithmic decision-making, dynamic models, reinforcement, algorithmic fairness, Solas AI, newsletter, daily AI
