Data Ethics and Privacy in AI: Understanding Challenges and Fairness

Explore key ethical challenges in artificial intelligence through a 17-minute lecture from The University of Chicago that delves into critical aspects of data privacy, security, and fairness in AI systems. Gain insights into how bias manifests in AI models and discover the crucial role of transparency in data usage within artificial intelligence applications. Learn about the intersection of ethics and technology while examining the responsibilities that come with developing and implementing AI solutions.