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  1. www.ibm.com › topics › responsible-aiWhat is responsible AI? | IBM

    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.

  2. www.techtarget.com › definition › responsible-AIWhat is Responsible AI? | Definition from TechTarget

    Responsible AI is an approach to developing and deploying artificial intelligence ( AI) from both an ethical and legal point of view. The goal of responsible AI is to employ AI in a safe, trustworthy and ethical fashion. Using AI responsibly should increase transparency and help reduce issues such as AI bias.

  3. www.responsible.aiHome - Responsible AI

    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.

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  5. developers.google.com › intro-responsible-aiIntroduction to Responsible AI | Machine Learning | Google ...

    Aug 8, 2023 · Learn how to build AI systems responsibly, at scale, with Google's guidance and resources. Explore the dimensions of Responsible AI, such as fairness, accountability, safety, and privacy, and see examples and best practices.

  6. www.microsoft.com › en-us › aiEmpowering responsible AI practices | Microsoft AI

    Learn how Microsoft is advancing safe, secure, and trustworthy AI with its commitments, research, policy, and tools. Explore how Microsoft is using AI for good and empowering the world with AI.

  7. learn.microsoft.com › en-us › azureWhat is Responsible AI - Azure Machine Learning

    Responsible Artificial Intelligence (Responsible AI) is an approach to developing, assessing, and deploying AI systems in a safe, trustworthy, and ethical way. AI systems are the product of many decisions made by those who develop and deploy them.

  8. ai.google › responsibility › responsible-ai-practicesGoogle Responsible AI Practices – Google AI

    Learn how Google AI applies human-centered design, data analysis, testing, and monitoring to build fair, interpretable, and safe AI systems. Explore their work on AI and fairness, data cards, text-to-image diffusion, and more.