From the course: Responsible AI: Principles and Practical Applications
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Responsible and trustworthy AI
From the course: Responsible AI: Principles and Practical Applications
Responsible and trustworthy AI
- As the benefits and risks of AI-enabled technologies become better understood, companies, non-profits, academic institutions, governments, and intergovernmental organizations are increasingly developing principles to guide the responsible development and use of AI-enabled technologies. In this video, I'll give you an overview of these principles and provide examples of how they are being applied in AI development and oversight. AlgorithmWatch, a non-profit research and advocacy organization, has taken stock of responsible AI principles and guidelines established globally. Its AI Ethics Guidelines Global Inventory currently contains 167 sets of principles and guidelines. While responsible AI principles often vary in style and scope across different organizations, consensus has emerged around eight core principles: accountability, privacy and security, reliability and safety, transparency and explainability, fairness and…
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