National Institutions for AI Safety

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Summary

National institutions for AI safety are organizations dedicated to ensuring that artificial intelligence technologies are developed and used responsibly, minimizing risks to society while advancing innovation. These institutions focus on setting safety standards, fostering transparency, and promoting ethical practices in AI governance.

  • Understand their mission: These institutions prioritize creating guidelines, conducting research, and promoting international collaboration to address AI risks and ensure its safe integration into various sectors.
  • Adopt AI safety measures: Organizations and agencies are encouraged to implement safeguards such as risk assessments, monitoring, and transparency practices to protect public interests and rights.
  • Engage with stakeholders: Collaboration across governments, private sectors, and global partners is essential to create a unified approach to AI safety and governance.
Summarized by AI based on LinkedIn member posts
  • View profile for Nick James

    Founder @ WhitegloveAI: helping public sector adopt AI responsibly and securely since 2023.

    14,392 followers

    🚨 Breaking News: Just Released! 🚨 The U.S. Artificial Intelligence Safety Institute (AISI) has unveiled its groundbreaking vision, mission, and strategic goals, released yesterday. This pivotal document sets the stage for the future of AI safety and innovation, presenting a comprehensive roadmap designed to ensure AI technologies benefit society while minimizing risks. Key Highlights: 🔹 Vision: AISI envisions a future where safe AI innovation enables a thriving world. The institute aims to harness AI's potential to accelerate scientific discovery, technological innovation, and economic growth, while addressing significant risks associated with powerful AI systems. 🔹 Mission: The mission is clear - beneficial AI depends on AI safety, and AI safety depends on science. AISI is dedicated to defining and advancing the science of AI safety, promoting trust and accelerating innovation through rigorous scientific research and standards. 🔹 Strategic Goals: 1. Advancing AI Safety Science: AISI will focus on empirical research, testing, and evaluation to develop practical safety solutions for advanced AI models, systems, and agents. 2. Developing and Disseminating AI Safety Practices: The institute plans to build and publish specific metrics, evaluation tools, and guidelines to assess and mitigate AI risks. 3. Supporting AI Safety Ecosystems: AISI aims to promote the adoption of safety guidelines and foster international cooperation to ensure global AI safety standards. 🔥 Hot Takes and Precedences: -"Safety breeds trust, and trust accelerates innovation." AISI's approach mirrors historical successes in other technologies, emphasizing safety as the cornerstone for unlocking AI's full potential. - Collaboration is Key: AISI will work with diverse stakeholders, including government agencies, international partners, and the private sector, to build a connected and resilient AI safety ecosystem. - Global Reach: By leading an inclusive, international network on AI safety, AISI underscores the necessity for globally adopted safety practices. This document is a must-read for anyone involved in the AI landscape. Stay informed and engaged as AISI leads the way towards a safer, more innovative future in AI. 🌍🔍 For more details, dive into the full document attached below. Follow WhitegloveAI for updates! #AISafety #Innovation #AIResearch #Technology #CLevelExecs #ArtificialIntelligence #AISI #BreakingNews #NIST Feel free to share your thoughts and join the conversation!

  • Vice President Kamala Harris and the Office of Management and Budget (OMB) announced a new policy to ensure the federal government's safe use of AI. This policy introduces three binding requirements: ✔ Safeguards: Federal agencies must establish "concrete safeguards" to ensure AI usage prioritizes public interest and does not harm Americans' rights and safety. They need to assess, test, and monitor AI's impact, address biases, and maintain transparency. Agencies have until December 1, 2024, to implement these measures, or they must justify the continued use of AI systems. ✔ Transparency/Inventory: The second requirement calls for annual public disclosures of AI system inventories, risk assessments, and management strategies by federal agencies, except where such information could jeopardize public or governmental security. ✔ Chief AI Officers and AI Governance Boards: Each agency must appoint a Chief AI Officer within 60 days (by May 27, 2024) to oversee AI usage and establish AI Governance Boards to coordinate AI's governance across the government. "These measures aim to ensure that AI is used responsibly, securely, and in a manner that advances public interest, reflecting the White House's commitment to the ethical deployment of AI technology in government operations." #aitransparency #aitrust #accountanbility #aiofficer #ai #ethicalai #aisafeguards #trustedai Trusted AI™

  • View profile for Hermine Wong

    Advisor, Strategist, and Plainspeaker at the intersection of #EmergingTech and #Law&Policy | Teach #CryptoLaw at UC Berkeley School of Law | Former @coinbase @secgov @OMB @DOS @SMIC

    2,935 followers

    🔍 I've been doing some research in #AI policy and turned it into a quick paper. 📚 Here Are the 10 Federal Regulators of AI You Should Know, and This Is What They Think 💭 (link: https://lnkd.in/gg7zXQCq) But if 3 pages is too much, here's the quick and dirty: Let's face it—AI and regulation are still playing catch-up. The swift pace of innovation has led to a division between who Congress thinks is in charge and and what some regulators want to believe. 👉 The Regulators Congress Has Said Are in Charge of AI Policy: OSTP: Congress granted OSTP the authority and earmarked budget to lead all AI efforts. Their focus? Creating an AI Bill of Rights for companies, emphasizing no bias, privacy protection, and human alternatives instead of chatbots. Commerce: Chosen by Congress to chair the "National Artificial Intelligence Advisory Committee," Commerce's mission centers on economic growth and competitiveness. NIST: Tasked with developing the AI Risk Management Framework to ensure “trustworthy AI" for businesses. Department of Energy: With funding to upgrade AI infrastructure and research grants, DOE aims to enhance decision-making in crucial areas like nuclear infrastructure, energy, and the environment. NSF: NSF's massive AI grant budget prioritizes cybersecurity, climate change, brain research, education, and health. USPTO: Addressing the ownership of AI-accelerated patents, USPTO seeks public input on how it should consider granting patents. 🚀 The Self-Appointed Front Line: Four regulators—CFPB, DOJ/Civil Rights, EEOC, and FTC—see themselves at the forefront of AI policy, but Congress and the White House haven't. CFPB: Known for safeguarding consumers in finance, CFPB is concerned about AI-based discriminatory credit decisions by companies. DOJ, Civil Rights: This division aims to eliminate discrimination in various sectors (e.g., social media platforms, banks, housing, employment) from AI bias, and hold businesses accountable that use AI to perpetuate discrimination. EEOC: Focused on AI's impact on employment decisions, EEOC vows to combat AI-driven employment discrimination. FTC: As the most well-known regulator in this list for its feud with OpenAI, Congress is leery about the FTC’s enforcement agenda and whether it has gone beyond its scope of monopolies and unfair practices. 🌟 The Bigger Picture: AI remains a bipartisan issue (having passed the National Artificial Intelligence Initiative of 2020), with politicians working to understand the tech and allocating grants, all without threats or bans. The White House has also signaled its importance to economic growth and competitiveness with a personal visit by the President. 📝 My best piece of unsolicited advice is that if you’re working in AI right now, you can have an outsized impact if you meet the politicians where they’re at, using the vocabulary they understand. 💪🤖

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