This course explores the ethical, legal, and societal implications of artificial intelligence, emphasizing responsible AI development and governance. Students will examine key concepts such as fairness, transparency, accountability, and ethical decision-making in AI systems. Through case studies, regulatory frameworks, and hands-on discussions, this course equips learners with the knowledge and tools to design, deploy, and assess AI technologies responsibly in real-world applications.
Number of Units: 2.0 graduate level extension credits in semester hours
Who Should Attend: Chief Executive Officers (CEOs); Chief Information Officers (CIOs) and Chief Technology Officers (CTOs); Chief Data Officers (CDOs) and Chief Analytics Officers (CAOs); Chief Operating Officers (COOs); Vice Presidents and Directors of Strategy, Innovation, or Operations; Senior Managers and Consultants in Technology, Data, and Business Transformation; Business Unit Leaders and Functional Managers (e.g., Marketing, Finance, HR, Supply Chain); and Board Members and Senior Advisors.
Required Textbook: Dignum, V. (2019).Responsible Artificial Intelligence: How to Develop and Use AI in a Responsible Way. Springer. ISBN 978-3030303709. It may be found at Amazon.com or your local bookstore.
Technical Requirements
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