Course detailUcla ExtensionComputer Science & Softwarearchived

MGMT X 413.2

AI Governance, Risk, Policy and Ethics

Navigate the world of AI responsibly and with confidence.

This is an essential topic on understanding the risks and ethical implications of artificial intelligence technologies.

Designed for non-coders, this course is the perfect gateway to a career shift into the AI field.

This course introduces students to the ethical, safety, and policy challenges surrounding the use of Artificial Intelligence (AI) in society.

As AI technologies impact industries like healthcare, finance, and criminal justice, it's crucial to understand the risks they pose and how they affect social structures.

Students will explore real-world examples, such as algorithmic bias in hiring, predictive policing, and the use of AI in autonomous vehicles.

Through case studies, group discussions and debates, students will dive into complex ethical questions, learning to assess the consequences of AI deployments.

Topics include fairness, privacy, transparency, and accountability, with a focus on how AI can reinforce societal inequalities if not carefully managed.

The course also equips students with practical skills for identifying and mitigating AI-related risks.

They'll learn how to evaluate AI systems for bias and fairness, understand the importance of transparency, and develop policies that ensure responsible AI implementation.

By the end of the course, students will be prepared to navigate AI issues in any sector, making them valuable contributors to the growing field of AI ethics and policy.

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