Artificial Intelligence? More Like Artificial Stupidity!

This course explores the failures of Artificial Intelligence and Machine Learning, particularly how they disproportionately affect minorities and can lead to severe consequences. It delves into the reasons behind these failures and suggests preventive measures for the future. The course highlights instances where AI and ML have gone wrong, discusses the inherent limitations in ML, and addresses the discrimination against minorities in current AI implementations. The audience will learn about the biases introduced by humans, the impact of poor data choices, and the potential risks associated with AI failures. The teaching method involves showcasing real-world examples and discussing strategies to improve AI systems. This course is intended for individuals interested in understanding the challenges and complexities of AI technology.