Скачать или смотреть Why Do AI Algorithms Cause Discrimination? - AI and Machine Learning Explained

Why Do AI Algorithms Cause Discrimination? Have you ever wondered why AI systems sometimes produce biased or unfair results? In this informative video, we'll explain how AI algorithms can unintentionally cause discrimination. We'll start by discussing how AI learns from data created by humans and how biases in that data can influence outcomes. You'll learn about common issues like biased training datasets, which can lead to unfair treatment in areas such as hiring, healthcare, and criminal justice. We’ll also explore how the way algorithms are built and the features selected can contribute to biased decisions. Additionally, we’ll cover how feedback loops can reinforce existing biases over time, making it harder to achieve fairness. The video highlights real-world examples, including biased facial recognition, discriminatory risk assessments, and stereotypes reflected in creative AI tools. We’ll share practical steps to help reduce bias, such as using diverse data, conducting regular bias testing, and involving people from different backgrounds in AI development. Transparency and ongoing evaluation are also emphasized as key strategies to ensure AI decisions are fair and just. Whether you're an AI enthusiast, developer, or concerned citizen, understanding how discrimination can occur in AI is essential for creating more equitable technology. Join us for this essential discussion, and subscribe to our channel for more insights on AI and machine learning.

⬇️ Subscribe to our channel for more valuable insights.

🔗Subscribe: https://www.youtube.com/@AI-MachineLe...

#AIbias #MachineLearning #AIFairness #BiasInAI #ArtificialIntelligence #DataBias #AIethics #FairAI #TechForGood #BiasDetection #AIResearch #InclusiveAI #AIApplications #AIandSociety #MachineLearningEthics

About Us: Welcome to AI and Machine Learning Explained, where we simplify the fascinating world of artificial intelligence and machine learning. Our channel covers a range of topics, including Artificial Intelligence Basics, Machine Learning Algorithms, Deep Learning Techniques, and Natural Language Processing. We also discuss Supervised vs. Unsupervised Learning, Neural Networks Explained, and the impact of AI in Business and Everyday Life.