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英文字典中文字典相关资料:


  • What is AI Governance? - IBM
    AI governance best practices involve an approach beyond mere compliance to encompass a more robust system for monitoring and managing AI applications For enterprise-level businesses, the AI governance solution should enable broad oversight and control over AI systems Here is a sample roadmap to consider:
  • Ethics and Governance of AI - Berkman Klein Center
    At the Berkman Klein Center, a wide range of research projects, community members, programs, and perspectives seek to address the big questions related to the ethics and governance of AI Our first two and half years of work in this area are reviewed in "5 Key Areas of Impact," and a selection of work from across our community is found below
  • AI Governance Reference Architecture - IBM
    AI governance is the ability to monitor and manage AI activities within an organization It includes processes and procedures to trace and document the origin of data and models deployed within the enterprise; as well as the techniques used to train, validate, and monitor the continuing accuracy of models Effective AI governance delivers three main outcomes for enterprises:
  • Towards a strong trust-based AI governance model
    Other examples of international and regional efforts on AI governance include UNESCO's Recommendation on the Ethics of AI, the Council of Europe’s proposal for a legal framework on artificial intelligence based on the Council`s standards on human rights, democracy and the rule of law, as well as a series of documents that define the EU’s approach to AI
  • AI governance trends: How regulation, collaboration and skills demand . . .
    As the AI governance market continues to expand rapidly, skilled AI professionals who can implement responsible organizational and technical controls will be in high demand The playing field will range from existing technology leaders to new start-ups focused almost exclusively on AI governance solutions such as AI inventory management, policy
  • The AI Governance Alliances debut report lays out strategies for . . .
    The AI Governance Alliance – Briefing Paper Series, a culmination of collective expertise, symbolizes the Alliance's unwavering commitment to a multistakeholder approach in addressing contemporary AI governance challenges This publication, in the format of three briefing papers and corresponding to each of the alliance’s tracks
  • AIガバナンスとは - IBM
    aiガバナンスは、aiテクノロジーの開発と応用におけるコンプライアンス、信頼、効率性を実現するために不可欠です。aiが組織や政府の業務にますます統合されるにつれて、aiがもたらす悪影響の可能性がより顕著になってきました。
  • The Importance of Data Governance for enterprise AI - IBM
    Safe, widespread AI adoption will require us to embrace AI Governance across the data lifecycle in order to provide confidence to consumers, enterprises, and regulators But what does this look like? For the most part, artificial intelligence models are fairly simple, they take in data and then learn patterns from this data to generate an output
  • AI: Will governance catch up with the tech in 2024?
    The drive for AI governance Stanford University’s AI Index shows policymaker interest in AI is rising Across 127 countries, the number of bills passed into law that reference artificial intelligence grew from 1 in 2016 to 37 in 2022
  • What should an AI ethics governance framework look like? - IBM
    A large part of AI governance hinges upon these individuals, as we’ll see later Advocacy network: A grassroots network of employees who promote a culture of ethical, responsible and trustworthy AI technology These advocates contribute to open workstreams and help scale AI ethics initiatives throughout the organization





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