AI Bias & Fairness: Understanding Algorithmic Bias in Machine Learning

🤔 Ever wondered if AI can be unfair? Dive into the critical topic of bias and fairness in artificial intelligence! 🤖 This video breaks down how algorithmic bias occurs in AI systems and its real-world impacts. It's crucial for anyone working with or affected by AI, which is basically everyone today. 🌍

We'll cover key aspects like:
What algorithmic bias is and why it happens
The different types of algorithmic bias (sampling, measurement, etc.)
Real-world examples in employment, healthcare, and finance
How to measure fairness in AI systems with metrics like demographic parity and equal opportunity
Strategies to mitigate algorithmic bias and build fairer AI models

Let's build AI that benefits everyone! 🤝 Join us in understanding and addressing AI bias to create a more equitable future. 🚀

#AIBias #FairnessInAI #MachineLearning #EthicalAI #ResponsibleAI #AlgorithmicBias #AIethics #datascience #programming
Chapters:
00:00 - Bias & Fairness in AI
00:21 - What is Algorithmic Bias?
01:04 - Types of Algorithmic Bias
01:52 - Example: Gender Bias in Language Models
02:41 - Real-World Impact of Algorithmic Bias
03:28 - Measuring Fairness in AI Systems
05:03 - Mitigating Algorithmic Bias
05:52 - Building Fair AI Systems: The Path Forward
06:24 - Outro

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