#USA Funding opportunity: AI for Resilient Manufacturing Institute Competition https://lnkd.in/dqNGTa2B On July 22, 2024, the National Institute of Standards and Technology (NIST) issued a Notice of Funding Opportunity (NOFO) for a new Manufacturing USA Institute, focusing on using artificial intelligence to improve the resilience of U.S. manufacturing. 20 August, there will be an in-person and virtual proposers day in Washington DC to: 1️⃣ Familiarize prospective applicants with the NOFO's objectives and structure 2️⃣ Provide additional information relevant to the application process 3️⃣ Bring potential applicants together in a collaborative atmosphere to network and support partnerships REGISTER HERE 👉 https://lnkd.in/eRuNmJU7 Registration for in-person attendance closes Friday, August 16, 2024. #ai #funding #manufacturing #nist
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OECD.AI is a platform to share and shape trustworthy AI. Sign up below for email alerts and visit our blog OECD.AI/WONK.
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Visit our blog, the AI Wonk: https://oecd.ai/wonk/ The OECD AI Policy Observatory is a tool at the disposal of governments and businesses that they can use to implement the first intergovernmental standard on AI: the OECD AI Principles. The OECD AI Principles focus on how governments and other actors can shape a human-centric approach to trustworthy AI. The Observatory includes a blog for its group of international AI experts (ONE AI) to discuss issues related to defining AI and how to implement the OECD Principles. OECD countries adopted the standards in May 2019, along with a range of partner economies. The OECD AI Principles provided the basis for the G20 AI Principles endorsed by Leaders in June 2019. OECD.AI combines resources from across the OECD, its partners and all stakeholder groups. OECD.AI facilitates dialogue between stakeholders while providing multidisciplinary, evidence-based policy analysis in the areas where AI has the most impact. As an inclusive platform for public policy on AI – the OECD AI Policy Observatory is oriented around three core attributes: Multidisciplinarity The Observatory works with policy communities across and beyond the OECD – from the digital economy and science and technology policy, to employment, health, consumer protection, education and transport policy – to consider the opportunities and challenges posed by current and future AI developments in a coherent, holistic manner. Evidence-based analysis The Observatory provides a centre for the collection and sharing of evidence on AI, leveraging the OECD’s reputation for measurement methodologies and evidence-based analysis. Global multi-stakeholder partnerships The Observatory engages governments and a wide spectrum of stakeholders – including partners from the technical community, the private sector, academia, civil society and other international organisations – and provides a hub for dialogue and collaboration.
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❗There is still time to participate in the OECD’s pilot on monitoring the application of the G7 Code of Conduct for Organisations Developing Advanced AI Development❗ https://lnkd.in/eDgwNsy2. Audrey Plonk Karine Perset Sara Fialho Esposito André Meyer-Vitali Ulrik Vestergaard Knudsen Jerry Sheehan Celine Caira Luis Aranda Jamie Berryhill Lucia Russo Noah Oder John Leo Tarver ⒿⓁⓉ Rashad Abelson Angélina Gentaz Valéria Silva Bénédicte Rispal Johannes Leon Kirnberger Eunseo Dana Choi Pablo Gomez Ayerbe Nikolas S. Sarah Bérubé Guillermo H. #g7 #hiroshimaprocess #oecd #trustworthyai #aipolicy #aisystems
❗Participate in the OECD’s pilot on monitoring the application of the G7 Code of Conduct for Organisations Developing Advanced AI Development❗ https://lnkd.in/eDgwNsy2. The OECD will test a reporting framework intended to gather information about how organisations developing advanced AI systems align with the Actions of the Code of Conduct. This pilot marks a significant milestone in international co-operation on AI governance, reflecting the G7’s commitment to promoting safe, secure and trustworthy development, deployment and use of advanced AI systems. READ MORE IN THIS BLOG POST https://lnkd.in/eDgwNsy2 by Audrey Plonk Karine Perset and Sara Fialho Esposito André Meyer-Vitali Ulrik Vestergaard Knudsen Jerry Sheehan Celine Caira Luis Aranda Jamie Berryhill Lucia Russo Noah Oder John Leo Tarver ⒿⓁⓉ Rashad Abelson Angélina Gentaz Valéria Silva Bénédicte Rispal Johannes Leon Kirnberger Eunseo Dana Choi Pablo Gomez Ayerbe Nikolas S. Sarah Bérubé Guillermo H. #g7 #hiroshimaprocess #oecd #trustworthyai #aipolicy #aisystems
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Save the date! Digital Trust Convention 15 November 2024, OECD Headquarters, Paris The Digital Trust Convention will explore the foundations for a resilient digital space where trust and integrity as the foundation of democratic discourse and effective markets remain possible in the era of generative AI. The Digital Trust Convention will look at how to create a reliable digital environment at a time when commercial, criminal, and geostrategic actors can easily create AI-automated bots and fakes. Conference participants will discuss how to: ✅ Establish trust in people and information and identify approaches, instruments and measures that are effective and sustainable ✅ Reliably recognise real human beings in the digital space ✅ Ensure that every citizen/consumer has a fair chance to be heard and have an impact SIGN UP TO RECEIVE MORE INFORMATION 📝 https://lnkd.in/eucfWfij The Digital Trust Convention is co-hosted by the Atlantic Council, the Bertelsmann Stiftung the Quebec Artificial Intelligence Institute, the #OECD, the Partnership on AI (PAI), and the IAPP International Association of Privacy Professionals, which have been active in the field for several years. Dr Sebastian Hallensleben serves as the Programme Chair for the Digital Trust Convention. Benjamin Prud'homme Anna Jahn Mark Boris Andrijanič Jenna Ben-Yehuda Martin Hullin Rebecca Finlay Karine Perset Jamie Berryhill Nikolas S. #trustworthyai #digitaltrust #artificialintelligence #aipolicy #deepfakes
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PUBLIC CONSULTATION ON RISK ⚠️ THRESHOLDS https://lnkd.in/e98Pzw-b The OECD is joining forces with a diverse array of stakeholders to explore potential approaches, opportunities and limitations for establishing risk thresholds for advanced AI systems. To inform this work, we are holding an open public consultation to obtain the views of all interested parties. We are interested in hearing your thoughts on the following key questions: ❓ What publications or other resources have you found useful on the topic of AI risk thresholds? ❓ To what extent do you believe AI risk thresholds based on compute power are adequate and appropriate to mitigate risks from advanced AI systems? ❓ To what extent do you believe that other types of AI risk thresholds would be valuable, and what are they? ❓ What strategies and approaches can governments or companies use to identify and set out specific thresholds and measure real-world systems against those thresholds? What requirements should be imposed for systems that exceed any given threshold? ❓ What else should the OECD and collaborating organisations keep in mind with regards to designing and/or implementing AI risk thresholds? 10 SEPTEMBER DEADLINE TO PARTICIPATE https://lnkd.in/e98Pzw-b Francesca Rossi Stuart Russell Michael Schönstein Ulrik Vestergaard Knudsen Jerry Sheehan Audrey Plonk Celine Caira Luis Aranda Jamie Berryhill Lucia Russo Noah Oder John Leo Tarver ⒿⓁⓉ Rashad Abelson Angélina Gentaz Valéria Silva Bénédicte Rispal Johannes Leon Kirnberger Eunseo Dana Choi Pablo Gomez Ayerbe Sara Fialho Esposito Nikolas S. Sarah Bérubé Guillermo H. #airisk #aisafety #trustworthyai #oecd #risk
Seeking your views: Public consultation on risk thresholds for advanced AI systems – Deadline 10 September
oecd.ai
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The U.S. Department of State releases a Risk Management Profile for Artificial Intelligence and Human Rights. This deliverable was developed in close coordination with #NIST and the U.S. Agency for International Development in response to Sec. 11 of the AI Executive Order. It recommends actions based on the NIST AI Risk Management Framework to governments, the private sector, and civil society worldwide to identify and manage risks to human rights arising from the design, development, deployment, and use of AI. The NIST AI Risk Management Framework, aligned with the OECD AI Principles and Definition of an AI System, is available here 👉 https://lnkd.in/dz-RkZgB The profile also references the OECD MNE Guidelines 👉 https://lnkd.in/dk2jSaR David C. Turnbull Sam Schofield Elham Tabassi Ulrik Vestergaard Knudsen Jerry Sheehan Audrey Plonk Karine Perset Luis Aranda Jamie Berryhill Lucia Russo John Leo Tarver ⒿⓁⓉ Rashad Abelson #aipolicy #artificialintelligence #trustworthyai #unitedstates
Risk Management Profile for AI and Human Rights - United States Department of State
https://www.state.gov
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AIM: The OECD AI Incidents Monitor 📟 https://lnkd.in/exGzAcmc Effective policymaking needs evidence, foresight and international cooperation. The OECD AI Incidents Monitor (AIM) documents AI incidents and hazards to help policymakers, AI practitioners, and all stakeholders worldwide gain valuable insights into the risks and harms of AI systems. Explore an AI-related topic that interests you in AIM to see if there are incidents the press is talking about. Ulrik Vestergaard Knudsen Jerry Sheehan Audrey Plonk Karine Perset Celine Caira Luis Aranda Jamie Berryhill Lucia Russo Noah Oder John Leo Tarver ⒿⓁⓉ Rashad Abelson Angélina Gentaz Valéria Silva Bénédicte Rispal Johannes Leon Kirnberger Eunseo Dana Choi Pablo Gomez Ayerbe Sara Fialho Esposito Nikolas S. Sarah Bérubé Guillermo H. #artificialintelligence #oecd #aipolicy #aiincidents #risk
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AI Safety Institutes: Can countries meet the challenge? 👉 https://lnkd.in/eREgXvgw The birth of AI safety institutes represents a crucial step in managing advanced AI’s complexities. They are positioned to become critical players in assessing risks, conducting foundational research, and facilitating international collaboration. Alexandre Variengien and Charles Martinet look at the roles these institutes can play and how they may vary across countries. Ulrik Vestergaard Knudsen Jerry Sheehan Audrey Plonk Karine Perset Celine Caira Luis Aranda Jamie Berryhill Lucia Russo Noah Oder John Leo Tarver ⒿⓁⓉ Rashad Abelson Angélina Gentaz Valéria Silva Bénédicte Rispal Johannes Leon Kirnberger Eunseo Dana Choi Pablo Gomez Ayerbe Sara Fialho Esposito Nikolas S. Sarah Bérubé Guillermo H. #aisafety #aipolicy #turstworthyai #ai #oecd
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PUBLIC CONSULTATION ON RISK ⚠️ THRESHOLDS https://lnkd.in/e98Pzw-b The OECD is joining forces with a diverse array of stakeholders to explore potential approaches, opportunities and limitations for establishing risk thresholds for advanced AI systems. To inform this work, we are holding an open public consultation to obtain the views of all interested parties. We are interested in hearing your thoughts on the following key questions: ❓ What publications or other resources have you found useful on the topic of AI risk thresholds? ❓ To what extent do you believe AI risk thresholds based on compute power are adequate and appropriate to mitigate risks from advanced AI systems? ❓ To what extent do you believe that other types of AI risk thresholds would be valuable, and what are they? ❓ What strategies and approaches can governments or companies use to identify and set out specific thresholds and measure real-world systems against those thresholds? What requirements should be imposed for systems that exceed any given threshold? ❓ What else should the OECD and collaborating organisations keep in mind with regards to designing and/or implementing AI risk thresholds? 10 SEPTEMBER DEADLINE TO PARTICIPATE https://lnkd.in/e98Pzw-b Francesca Rossi Stuart Russell Michael Schönstein Ulrik Vestergaard Knudsen Jerry Sheehan Audrey Plonk Celine Caira Luis Aranda Jamie Berryhill Lucia Russo Noah Oder John Leo Tarver ⒿⓁⓉ Rashad Abelson Angélina Gentaz Valéria Silva Bénédicte Rispal Johannes Leon Kirnberger Eunseo Dana Choi Pablo Gomez Ayerbe Sara Fialho Esposito Nikolas S. Sarah Bérubé Guillermo H. #airisk #aisafety #trustworthyai #oecd #
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❗Participate in the OECD’s pilot on monitoring the application of the G7 Code of Conduct for Organisations Developing Advanced AI Development❗ https://lnkd.in/eDgwNsy2. The OECD will test a reporting framework intended to gather information about how organisations developing advanced AI systems align with the Actions of the Code of Conduct. This pilot marks a significant milestone in international co-operation on AI governance, reflecting the G7’s commitment to promoting safe, secure and trustworthy development, deployment and use of advanced AI systems. READ MORE IN THIS BLOG POST https://lnkd.in/eDgwNsy2 by Audrey Plonk Karine Perset and Sara Fialho Esposito André Meyer-Vitali Ulrik Vestergaard Knudsen Jerry Sheehan Celine Caira Luis Aranda Jamie Berryhill Lucia Russo Noah Oder John Leo Tarver ⒿⓁⓉ Rashad Abelson Angélina Gentaz Valéria Silva Bénédicte Rispal Johannes Leon Kirnberger Eunseo Dana Choi Pablo Gomez Ayerbe Nikolas S. Sarah Bérubé Guillermo H. #g7 #hiroshimaprocess #oecd #trustworthyai #aipolicy #aisystems
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🛠️🧰⚙️🔧 TOOLS FOR TRUSTWORTHY AI 🛠️🧰⚙️🔧 Project Moonshot 👉 https://lnkd.in/eg3fZdFN Singapore's AI Verify Foundation developed Project Moonshot to allow companies to address the significant opportunities and associated risks of generative AI and Large Language Model (LLM) technology. One of the world’s first LLM evaluation toolkits, Project Moonshot is designed to integrate benchmarking, red teaming, and testing baselines. Its aim is to assist multiple stakeholders, including developers, compliance teams, and AI system owners, in mitigating LLM deployment risks by offering a seamless way to evaluate the performance before and after deployment. Project Moonshot reflects Singapore’s commitment to addressing AI risks through principled approaches, practical tools, and inclusive international engagement. AI Verify is also responsible for this Model AI Governance Framework for Generative AI: 👉 https://lnkd.in/egAehBSs Thanks to Denise Wong, Larissa Lim and Wan Sie LEE Karine Perset Celine Caira Luis Aranda Jamie Berryhill Lucia Russo Noah Oder John Leo Tarver ⒿⓁⓉ Rashad Abelson Angélina Gentaz Valéria Silva Bénédicte Rispal Johannes Leon Kirnberger Eunseo Dana Choi Pablo Gomez Ayerbe Sara Fialho Esposito Nikolas S. Sarah Bérubé Guillermo H. #trustworthayai #largelanguagemodels #LLMs #singapore #aitools #
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