Responsible AI

Artificial Intelligence (AI) is changing the way we live, work and do business, however, as AI technologies become more pervasive and responsible for an increasing number of decisions (e.g., benefit payments, mortgage approvals, and medical diagnosis), they may amplify existing human biases, create new biases, and become less transparent. Organizations thus face ethical as well as legal and regulatory risks if they use a “black box” approach to AI. This course introduces students to knowledge of techniques, architectures, regulations and AI principles used to achieve responsible artificial intelligence. The course helps students understand key challenges of addressing AI-related digital bias, discrimination, privacy, security, explanation, and trust issues in general content, and discusses how key responsible components land at both development and deployment levels.