Ethics in the Age of Generative AI

Worth taking if you want a fast, practitioner-oriented orientation to generative-AI ethics from a credible authority: instructor Vilas Dhar (President of the $1.5B Patrick J. McGovern Foundation, not the instructor listed in some directories) walks through a reusable framework for ethical analysis in roughly 45 minutes of video. The official LinkedIn Learning page shows a 4.6/5 rating from 18,117 ratings, and the course's own LinkedIn copy states it has reached over 500,000 learners, making it one of the most-viewed AI-ethics courses available. Its real strength is organizational application, with dedicated lessons on preparing data teams, the C-suite, the board, and customers to make responsible-AI decisions. The trade-off is depth: it is a concept-and-governance overview with two short quizzes and one exercise file, not a hands-on technical course on detecting bias or auditing models. Treat it as a leadership-literacy primer rather than a deep or hands-on curriculum.

It is an excellent ~45-minute introduction to responsible-AI thinking and governance for decision-makers, but at beginner depth with no hands-on technical work it is too light for engineers or anyone needing applied bias-testing, model-auditing, or policy depth.

Best for: Managers, founders, product leaders, designers, and C-suite or board members who deploy or commission generative-AI tools and need a structured, defensible framework for spotting ethical risks (bias, privacy, misuse) and organizing teams to address them. Also a good fit for non-technical professionals who want credible, current AI-ethics literacy quickly and a shareable LinkedIn certificate.

Skip if: ML engineers, data scientists, or researchers who want hands-on techniques (fairness metrics, model auditing, debiasing code), and anyone seeking a rigorous academic or legal/regulatory deep dive (e.g., detailed coverage of the EU AI Act, copyright law, or deepfake detection). The catalog description mentions deepfakes and copyright, but the actual syllabus centers on a general ethical-analysis framework and organizational readiness, not those topics in depth.