Ethics in AI
edX
Unravel the ethical challenges with artificial intelligence (AI) and how they can be understood using traditional ethical models.
More resources on AI Ethics
Partnership on AI
Industry and research collaboration on AI ethics
AI Ethics Guidelines Global Inventory
UNESCO and others' global inventory of AI ethics guidelines
AI For Everyone
AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take. In this course, you will learn: - The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science - What AI realistically can--and cannot--do - How to spot opportunities to apply AI to problems in your own organization - What it feels like to build machine learning and data science projects - How to work with an AI team and build an AI strategy in your company - How to navigate ethical and societal discussions surrounding AI Though this course is largely non-technical, engineers can also take this course to learn the business aspects of AI.
aiethicsinitiative.org
An AI ethics resource hub offering research analyses, policy briefs, and practical guidelines to support responsible AI development, governance, and fairness.
AI Ethics
AI Ethics - A book resource
AI Ethics
Coursera course: Ethical AI Use