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Responsible artificial intelligence (AI) is a set of principles that help guide the design, development, deployment and use of AI—building trust in AI solutions that have the potential to empower organizations and their stakeholders.
The Responsible AI Institute is a global non-profit dedicated to equipping organizations and AI professionals with tools and knowledge to create, procure and deploy AI systems that are safe and trustworthy. Become a Member. Harnessing the power of AI comes with great responsibility.
At Microsoft, we put responsible AI principles into practice through governance, policy, and research.
Accenture helps companies move from principles to practice (and build trust) by defining and implementing solutions across 4 Responsible AI pillars. This article shares our learnings: from practitioners’ pain points and how to address them, to case studies of what good looks like in the real world. VIEW FULL REPORT.
31 Okt 2023 · Responsible AI is a set of practices that ensures AI systems are designed, deployed and used in an ethical and legal way. When companies implement responsible AI, they minimize the potential for artificial intelligence to cause harm and make sure it benefits individuals, communities and society.
Google AI is committed to developing and using artificial intelligence responsibly. We have a set of AI principles that guide our work, and we are transparent about how we develop and use AI. We also work to build trust with the public by engaging with policymakers, researchers, and other stakeholders.
8 Ogo 2023 · Define Responsible AI and relevant dimensions, including fairness, accountability, safety, and privacy. Describe potential harms and benefits of AI, and the importance of building AI...
