Johns Hopkins University 2 credits Information Systems
In light of the accelerating and ubiquitous impact of artificial intelligence (AI) on all sectors of the economy, the significance of responsible AI, i.e., systems that conform to principles of safety, equity, fairness, etc. is paramount. This course is crafted to equip business leaders, AI practitioners, and policymakers with an in-depth understanding of the ethical, safety, and governance issues associated with AI technologies. Topics include ethical frameworks in AI, AI safety, the current regulatory landscape and governance roles, sources of bias in AI, transparency and accountability in AI systems, and real-world case studies in the finance, healthcare, marketing, and management domain . Upon completion, students will have acquired the essential knowledge and skills to formulate organizational strategies that integrate responsibility throughout the AI development lifecycle.
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