The fundamental ideas of ethical and responsible AI are presented in this IBM SkillsBuild course. Students investigate the societal effects of AI systems as well as fairness, accountability, transparency, privacy, and bias prevention. The course teaches students how to create, assess, and apply AI technology in a way that is [...]

The ethical, social, and responsible development of AI and contemporary computing technologies is examined in this course. Students study important subjects such responsible innovation frameworks, fairness, responsibility, transparency, privacy, trust, and the effects of AI systems on society. Participants in the course are assisted in using responsible practices in AI [...]

The ethical, legal, and sociological issues surrounding the use of AI and big data are covered in the beginner-friendly course Ethics in AI and Big Data. By utilizing ethical frameworks, enhancing transparency, and guaranteeing confidence in data-driven technologies, it assists students in comprehending how to construct responsible AI systems. Data [...]

A free, self-paced online course called Responsible AI for Public Professionals (InnovateUS) teaches public sector workers how to use generative AI properly in government work. In addition to discussing real-world benefits of GenAI, such as information analysis, summarization, and drafting, it also highlights important concerns, including bias, data privacy, and [...]

Andrew Ng’s beginner-friendly, non-technical course, AI for Everyone, explains what artificial intelligence is, how it functions, and how it is applied in everyday business and society. Key AI ideas, project methodologies, and how businesses can develop successful AI strategies are all covered. The course also contains ethics-focused lessons that examine [...]

The University of Michigan’s Responsible Generative AI course is an approachable online course that delves into the workings of generative AI and its wider implications for business, society, and the environment. It aids students in comprehending the advantages and disadvantages of generative AI, including governance, policy, labor market impacts, ethical [...]

A beginner-friendly online course, the Ethics of AI module from the Elements of AI series describes how artificial intelligence impacts human values, society, and decision-making. It focuses on comprehending ethical issues with AI systems, including accountability, fairness, transparency, privacy, bias, and responsible technology use. The course teaches students how to [...]

This brief, introductory online course examines the effects of artificial intelligence (AI) on society from the perspectives of social justice, inclusivity, and ethics. It aids students in comprehending the design of AI systems and how real-world outcomes in fields like healthcare, education, and government are impacted by concerns like bias, [...]

Microsoft’s introductory course, Introduction to Responsible AI, addresses the fundamentals of responsible AI development. By emphasizing justice, transparency, accountability, privacy, safety, and inclusivity, it aids students in understanding how to create, develop, and use AI systems in an ethical manner. In order to provide reliable and human-centered AI solutions, the [...]

The fundamental ideas of responsible AI are covered in this introductory Google Cloud course, along with how to implement moral AI principles in practical systems. Students study Google’s AI Principles, comprehend the commercial case for responsible AI, and acquire useful techniques for recognizing and controlling ethical issues related to safety, [...]