Everyday AI Podcast – An AI and ChatGPT Podcast

EP 141: How To Understand and Fix Biased AI

Nov 9, 2023

Nick Schmidt, Founder & CTO of SolasAI & BLDS, LLC, discusses biased AI models, algorithm misuse, biased data collection, regulations for algorithm fairness, addressing biases in AI models, and practical solutions for everyday users.

31:26

Episode guests

Nick Schmidt

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Episode notes

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Quick takeaways

Biases in AI models can arise from various stages of the modeling process, including biased input data and flawed model design.

Addressing bias in AI models requires critically analyzing data inputs, making informed decisions about fairness, and implementing legal frameworks.

Deep dives

Understanding Bias in AI Models

AI models, including chat GPT and AI image generators, often exhibit biases and prejudices. These biases can arise from various stages of the modeling process, such as biased input data, flawed model design, and discriminatory use of the algorithm. The data used to train the models, which often comes from the internet, reflects the biases present in society. Additionally, model outputs can perpetuate biases, with certain populations being underrepresented or misrepresented. To address bias in AI models, it is crucial to critically analyze the data going into the models and make informed decisions about their fairness. Furthermore, implementing legal frameworks that consider intentional and unintentional discrimination can guide the development of more equitable models.

Introduction

4min

Understanding and Fixing Biased AI

2min

Reasons behind Biased AI

16min

Fixing Biased AI: The Irony and Challenges Faced by Big Companies

2min

Changing Model Outputs Over Time and Removing Biases

3min

How to Fix Biased AI and the Role of Users and Consumers

3min

Send Everyday AI and Jordan a text message

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.

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More on this Episode: Episode Page
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Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
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 Models
2. Detection and Mitigation of Bias in Algorithms
3. Practical Solutions for Addressing Bias in AI

Keywords:
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

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