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Managing Ai Risks In An Era Of Rapid Progress

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In this short consensus paper, we outline risks from upcoming, advanced AI systems. We examine large-scale social harms and malicious uses, as well as an irreversible loss of human control over autonomous AI systems. In light of rapid and continuing AI progress, we propose priorities for AI R&D and governance.

[N] New letter from Yoshua Bengio, Geoffrey Hinton, and others

10月24日，在英国举行首届国际人工智能安全峰会前一周，一篇简短而重磅的论文《人工智能飞速进步时代的风险管理》(Managing AI Risks in an Era of Rapid

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In a recent short paper, world-leading AI scientists and governance experts from the US, China, EU, UK, and other countries have 156K subscribers in the neoliberal community. Free trade, open borders, taco trucks on every corner. Please read the sidebar for more information. Abstract Managing AI Risks in an Era of Rapid Progress In this short consensus paper, we outline risks from upcoming, advanced AI systems.

I came across a new release “Managing AI Risks in an Era of Rapid Progress” this morning. It highlights societal risks posed by advanced AI systems and some guidelines on how we should proceed Lose control of AI AI is making progress in hacking, social manipulation, deception Copy their algorithms across global server networks Control the computer systems behind our communication Rapid, unpredictable progress also means that risk-reduction efforts must be proactive identifying risks from next-generation sys-tems and requiring developers to address them before taking high-risk actions.

Managing extreme AI risks amid rapid progress Yoshua Bengio &Mila – Quebec AI Institute, Université de Montréal Geoffrey Hinton University of Toronto, Vector Institute Andrew Yao Tsinghua University Dawn Song UC Berkeley Pieter Abbeel UC Berkeley Trevor Darrell UC Berkeley Yuval Noah Harari The Hebrew University of Jerusalem New letter from Yoshua Bengio, Geoffrey Hinton, and others: Managing AI Risks in an Era of Rapid Progress

Increases in capabilities and autonomy may soon massively amplify AI’s impact, with risks that include large-scale social harms, malicious uses, and an irreversible loss of human control over autonomous AI systems. Although researchers have warned of extreme risks from AI (1), there is a lack of consensus about how to manage them.

在这篇简短的共识论文中，我们概述了即将到来的先进AI系统带来的风险。我们研究了大规模社会危害和恶意使用，以及人类对自主AI系统失去控制的不可逆转的损失。鉴于人工智能的快速和持续进展，我们提出了人工智能研发和治理的紧急优先事项。 Although researchers have warned of extreme risks from AI, there is a lack of consensus about how exactly such risks arise, and how to manage them. Society’s response, despite promising first steps, is incommensurate with the possibility of rapid, transformative progress that is expected by many experts. AI safety research is lagging. Policy supplement: Managing AI Risks in an Era of Rapid Progress This supplement highlights and expands on key policy recommendations from the paper. It was prepared by a subset of the authors of the original paper, and is not a complete summary.

„Managing AI Risks in an Era of Rapid Progress“ starts by noting that GPT-2, one of AI company Open AI’s early language models, „could not reliably count to ten“ just four years ago. Leading AI researchers explain their views on future AI progress and societal-scale risks from upcoming, advanced AI systems, and recommend measures in technical R&D and governance that could reduce risks.

Policy supplement: Managing AI Risks in an Era of Rapid Progress This supplement highlights and expands on key policy recommendations from the paper. It was prepared by a subset of the authors of the original paper, and is not a complete summary.

  • Managing AI Risks in an Era of Rapid Progress — LessWrong
  • Managing AI Risks in an Era of Rapid Progress-CSDN博客
  • Humanity ‚Not on Track to Handle Well‘ the Risks AI Poses
  • Managing AI Risks in an Era of Rapid Progress,arXiv

Abstract In this short consensus paper, we outline risks from upcoming, advanced AI systems. We examine large-scale social harms and malicious uses, as well as an irreversible loss of human control over autonomous AI systems. In light of rapid and continuing AI progress, we propose urgent priorities for AI R&D and governance.

“Large-scale Risks from Upcoming, Powerful AI Systems”: Managing AI Risks in an Era of Rapid Progress By Yoshua Bengio, Geoffrey Hinton, Andrew Yao, and et al.

图表 解决问题 Identifying risks and proposing urgent priorities for AI R&D and governance in light of rapid and continuing AI progress. 关键思路 Artificial Intelligence (AI) is progressing rapidly, and companies are shifting their focus to developing generalist AI systems that can autonomously act and pursue goals. Increases in capabilities and autonomy may soon massively amplify AI’s impact, with risks that include large-scale social harms, malicious uses, and an irreversible loss of human control over autonomous Although researchers have warned of extreme risks from AI, there is a lack of consensus about how exactly such risks arise, and how to manage them. Society’s response, despite promising first steps, is incommensurate with the possibility of rapid, transformative progress that is expected by many experts. AI safety research is lagging.

1.5M subscribers in the singularity community. Everything pertaining to the technological singularity and related topics, e.g. AI, human enhancement Bibliographic details on Managing AI Risks in an Era of Rapid Progress.

Hier sollte eine Beschreibung angezeigt werden, diese Seite lässt dies jedoch nicht zu. “Large-scale Risks from Upcoming, Powerful AI Systems”: Managing AI Risks in an Era of Rapid Progress By Yoshua Bengio, Geoffrey Hinton, Andrew Yao, and et al., October 25, 2023 Amid rapid AI progress, the authors of this paper express a consensus on the large-scale risks from upcoming, powerful AI systems. They call for urgent governance

“Managing AI Risks in an Era of Rapid Progress” by Yoshua Bengio, Geoffrey Hinton, Stuart Russell, Pieter Abbeel, Jeff Clune, Tegan Maharaj et al. “In this short consensus paper, we outline

“Large-scale Risks from Upcoming, Powerful AI Systems”: Managing AI Risks in an Era of Rapid Progress By Yoshua Bengio, Geoffrey [N] New letter from Yoshua Bengio, Geoffrey Hinton, and others: Managing AI Risks in an Era of Rapid Progress Signatories include Turing Award winners Yoshua Bengio, Geoffrey Hinton, as well as others academics and experts. In 2019, GPT-2 could not reliably count to ten.

Abstract: In this short consensus paper, we outline risks from upcoming, advanced AI systems. We examine large-scale social harms and malicious uses, as well as an irreversible loss of human control over autonomous AI systems. In light of rapid and continuing AI progress, we propose urgent priorities for AI R&D and governance.

In light of rapid and continuing AI progress, we propose priorities for AI R&D and governance.In this short consensus paper, we outline risks from upcoming, advanced AI systems. We examine large-scale social harms and malicious uses, as well as an irreversible loss of human control over autonomous AI systems. •Are we more concerned about AI taking over or people misusing AI? •Do we think AI is going to take over any time soon? •What other systems or laws could we put in place to help regulate/restrict the development of AI? REFERENCES •[1]Bengio, Yoshua, et al. „Managing ai risks in an era of rapid progress.“ arXiv preprint arXiv:2310.17688 Managing extreme AI risks amid rapid progress Yoshua Bengio &Mila – Quebec AI Institute, Université de Montréal Geoffrey Hinton University of Toronto, Vector Institute Andrew Yao Tsinghua University Dawn Song UC Berkeley Pieter Abbeel UC Berkeley Trevor Darrell UC Berkeley Yuval Noah Harari The Hebrew University of Jerusalem

Rapid progress in AI: AI capabilities have advanced rapidly, with systems now able to perform tasks like writing software, generating photorealistic scenes, and advising on intellectual topics. This pace of progress may continue, potentially leading to AI systems that outperform humans across many domains within the current or next decade. Societal-scale 5月20日，由三位图灵奖得主约书亚·本吉奥（Yoshua Bengio）、杰佛瑞·辛顿（Geoffrey Hinton）、姚期智（Andrew Yao）领衔，连同多位专家，包括经济学诺奖得主丹尼尔·卡内曼 (Daniel Kahneman) 以及清华大学教授张亚勤、薛澜等共同著作的文章“人工智能飞速进步时代的风险管理”（Managing extreme AI risks amid rapid Bengio, Y., et al. “Managing Extreme AI Risks amid Rapid Progress.” Science, vol. 384, no. 6698, American Association for the Advancement of Science, 2024, pp. 842–45.

Managing AI Risks in an Era of Rapid Progress The rapid progress of AI development brings both opportunities and risks. While AI systems have the potential to cure diseases and elevate living standards, they also pose large-scale risks that we are not prepared to handle.

Prominent AI researchers, including Geoffrey Hinton, Yoshua Bengio, Stuart Russell, and others, are urging the establishment of global regulations to ensure AI is used responsibly. They propose the creation of a supervisory body, similar to the Nucle