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AI risks are typically framed around physical threats to humanity, a loss of control or an accidental error causing humanity's extinction. However, I argue in line with the gradual disempowerment thesis, that there is an underappreciated…

计算机与社会 · 计算机科学 2025-03-31 Joshua Krook

This paper develops a taxonomy of expert perspectives on the risks and likely consequences of artificial intelligence, with particular focus on Artificial General Intelligence (AGI) and Artificial Superintelligence (ASI). Drawing from…

计算机与社会 · 计算机科学 2025-09-25 Alex Amadori , Eva Behrens , Gabriel Alfour , Andrea Miotti

Recent progress in artificial intelligence (AI) has drawn attention to the technology's transformative potential, including what some see as its prospects for causing large-scale harm. We review two influential arguments purporting to show…

计算机与社会 · 计算机科学 2024-01-30 Adam Bales , William D'Alessandro , Cameron Domenico Kirk-Giannini

There is a substantial and ever-growing corpus of evidence and literature exploring the impacts of Artificial intelligence (AI) technologies on society, politics, and humanity as a whole. A separate, parallel body of work has explored…

计算机与社会 · 计算机科学 2022-09-23 Benjamin S. Bucknall , Shiri Dori-Hacohen

Companies like OpenAI, Google DeepMind, and Anthropic have the stated goal of building artificial general intelligence (AGI) - AI systems that perform as well as or better than humans on a wide variety of cognitive tasks. However, there are…

计算机与社会 · 计算机科学 2023-07-19 Leonie Koessler , Jonas Schuett

The expanding application of Artificial Intelligence (AI) in scientific fields presents unprecedented opportunities for discovery and innovation. However, this growth is not without risks. AI models in science, if misused, can amplify risks…

As artificial intelligence (AI) is integrated into various services and systems in society, many companies and organizations have proposed AI principles, policies, and made the related commitments. Conversely, some have proposed the need…

计算机与社会 · 计算机科学 2023-12-04 Arisa Ema , Ryo Sato , Tomoharu Hase , Masafumi Nakano , Shinji Kamimura , Hiromu Kitamura

This paper argues that existing governance mechanisms for mitigating risks from AI systems are based on the `Big Compute' paradigm -- a set of assumptions about the relationship between AI capabilities and infrastructure -- that may not…

计算机与社会 · 计算机科学 2024-12-19 Edward Kembery

This paper examines the systemic risks posed by incremental advancements in artificial intelligence, developing the concept of `gradual disempowerment', in contrast to the abrupt takeover scenarios commonly discussed in AI safety. We…

计算机与社会 · 计算机科学 2025-01-30 Jan Kulveit , Raymond Douglas , Nora Ammann , Deger Turan , David Krueger , David Duvenaud

Although AI systems are increasingly being leveraged to provide value to organizations, individuals, and society, significant attendant risks have been identified and have manifested. These risks have led to proposed regulations,…

人工智能 · 计算机科学 2024-12-06 David Piorkowski , Michael Hind , John Richards

Globally, artificial intelligence (AI) implementation is growing, holding the capability to fundamentally alter organisational processes and decision making. Simultaneously, this brings a multitude of emergent risks to organisations,…

计算机与社会 · 计算机科学 2024-04-10 Finlay McGee

Existing strategies for managing risks from advanced AI systems often focus on affecting what AI systems are developed and how they diffuse. However, this approach becomes less feasible as the number of developers of advanced AI grows, and…

计算机与社会 · 计算机科学 2025-01-24 Jamie Bernardi , Gabriel Mukobi , Hilary Greaves , Lennart Heim , Markus Anderljung

Since the release of ChatGPT, there has been a lot of debate about whether AI systems pose an existential risk to humanity. This paper develops a general framework for thinking about the existential risk of AI systems. We analyze a two…

人工智能 · 计算机科学 2026-01-16 Herman Cappelen , Simon Goldstein , John Hawthorne

While artificial intelligence (AI) is advancing rapidly and mastering increasingly complex problems with astonishing performance, the safety assurance of such systems is a major concern. Particularly in the context of safety-critical,…

人工智能 · 计算机科学 2025-07-01 Lars Ullrich , Walter Zimmer , Ross Greer , Knut Graichen , Alois C. Knoll , Mohan Trivedi

This paper proposes a comprehensive analysis of existing concepts coming from different disciplines tackling the notion of intelligence, namely psychology and engineering, and from disciplines aiming to regulate AI innovations, namely AI…

人工智能 · 计算机科学 2021-05-10 Gauthier Chassang , Mogens Thomsen , Pierre Rumeau , Florence Sèdes , Alejandra Delfin

Artificial intelligence risks are multidimensional in nature, as the same risk scenarios may have legal, operational, and financial risk dimensions. With the emergence of new AI regulations, the state of the art of artificial intelligence…

计算机与社会 · 计算机科学 2025-09-24 Luis Enriquez Alvarez

This paper critically evaluates the European Commission's proposed AI Act's approach to risk management and risk acceptability for high-risk AI systems that pose risks to fundamental rights and safety. The Act aims to promote "trustworthy"…

计算机与社会 · 计算机科学 2023-08-07 Henry Fraser , Jose-Miguel Bello y Villarino

In an effort to inform the discussion surrounding existential risks from AI, we formulate Extinction-level Goodhart's Law as "Virtually any goal specification, pursued to the extreme, will result in the extinction of humanity", and we aim…

计算机与社会 · 计算机科学 2024-03-12 Vojtech Kovarik , Christian van Merwijk , Ida Mattsson

Amid growing concerns over AI's societal risks--ranging from civilizational collapse to misinformation and systemic bias--this study explores the perceptions of AI experts and the general US registered voters on the likelihood and impact of…

Appropriately regulating artificial intelligence is an increasingly urgent and widespread policy challenge. We identify two primary, competing problem. First is a technical deficit: Legislatures and regulatory face significant challenges in…

人工智能 · 计算机科学 2026-02-04 Gillian K. Hadfield , Jack Clark