中文
相关论文

相关论文: Modeling Transformative AI Risks (MTAIR) Project -…

200 篇论文

This paper summarizes the most cogent advantages and risks associated with Artificial Intelligence from an in-depth review of the literature. Then the authors synthesize the salient risk-related models currently being used in AI, technology…

计算机与社会 · 计算机科学 2024-06-19 Richard Fulton , Diane Fulton , Nate Hayes , Susan Kaplan

Rapidly advancing artificial intelligence (AI) systems introduce novel, uncertain, and potentially catastrophic risks. Managing these risks requires a mature risk-management infrastructure whose cornerstone is rigorous risk modeling. We…

Artificial Intelligence (AI) is one of the most transformative technologies of the 21st century. The extent and scope of future AI capabilities remain a key uncertainty, with widespread disagreement on timelines and potential impacts. As…

人工智能 · 计算机科学 2023-11-27 Kyle A. Kilian , Christopher J. Ventura , Mark M. Bailey

Advanced AI systems offer substantial benefits but also introduce risks. In 2025, AI-enabled cyber offense has emerged as a concrete example. This technical report applies a quantitative risk modeling methodology (described in full in a…

Collaborative AI systems aim at working together with humans in a shared space to achieve a common goal. This setting imposes potentially hazardous circumstances due to contacts that could harm human beings. Thus, building such systems with…

软件工程 · 计算机科学 2021-03-15 Matteo Camilli , Michael Felderer , Andrea Giusti , Dominik T. Matt , Anna Perini , Barbara Russo , Angelo Susi

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

Although general-purpose AI systems offer transformational opportunities in science and industry, they simultaneously raise critical concerns about safety, misuse, and potential loss of control. Despite these risks, methods for assessing…

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…

Artificial Intelligence (AI) systems have historically been used as tools that execute narrowly defined tasks. Yet recent advances in AI have unlocked possibilities for a new class of models that genuinely collaborate with humans in complex…

An artificial superintelligence (ASI) is artificial intelligence that is significantly more intelligent than humans in all respects. While ASI does not currently exist, some scholars propose that it could be created sometime in the future,…

人工智能 · 计算机科学 2016-07-27 Anthony M. Barrett , Seth D. Baum

Rapid advancements in artificial intelligence (AI) have sparked growing concerns among experts, policymakers, and world leaders regarding the potential for increasingly advanced AI systems to pose catastrophic risks. Although numerous risks…

计算机与社会 · 计算机科学 2023-10-11 Dan Hendrycks , Mantas Mazeika , Thomas Woodside

Although discourse around the risks of Artificial Intelligence (AI) has grown, it often lacks a comprehensive, multidimensional framework, and concrete causal pathways mapping hazard to harm. This paper aims to bridge this gap by examining…

计算机与社会 · 计算机科学 2025-08-11 Ze Shen Chin

If the authors of a recent Stanford report (Bommasani et al., 2021) on the opportunities and risks of "foundation models" are to be believed, these models represent a paradigm shift for AI and for the domains in which they will supposedly…

计算机与社会 · 计算机科学 2021-10-20 Su Lin Blodgett , Michael Madaio

As generative large model capabilities advance, safety concerns become more pronounced in their outputs. To ensure the sustainable growth of the AI ecosystem, it's imperative to undertake a holistic evaluation and refinement of associated…

人工智能 · 计算机科学 2023-12-01 Jiawen Deng , Jiale Cheng , Hao Sun , Zhexin Zhang , Minlie Huang

Threat modeling is a popular method to securely develop systems by achieving awareness of potential areas of future damage caused by adversaries. However, threat modeling for systems relying on Artificial Intelligence is still not well…

密码学与安全 · 计算机科学 2024-06-04 Jan von der Assen , Jamo Sharif , Chao Feng , Christian Killer , Gérôme Bovet , Burkhard Stiller

In this paper we discuss how systems with Artificial Intelligence (AI) can undergo safety assessment. This is relevant, if AI is used in safety related applications. Taking a deeper look into AI models, we show, that many models of…

人工智能 · 计算机科学 2021-05-17 Jens Braband , Hendrik Schäbe

Responsible AI (RAI) has emerged as a major focus across industry, policymaking, and academia, aiming to mitigate the risks and maximize the benefits of AI, both on an organizational and societal level. This study explores the global state…

Frontier AI systems are rapidly advancing in their capabilities to persuade, deceive, and influence human behaviour, with current models already demonstrating human-level persuasion and strategic deception in specific contexts. Humans are…

As artificial intelligence (AI) becomes increasingly embedded in the core functions of social, political, and economic life, it catalyzes structural transformations with far-reaching societal implications. This paper advances the concept of…

计算机与社会 · 计算机科学 2025-05-19 Kyle A Kilian

Artificial intelligence (AI) has the potential to greatly improve society, but as with any powerful technology, it comes with heightened risks and responsibilities. Current AI research lacks a systematic discussion of how to manage…

计算机与社会 · 计算机科学 2022-09-21 Dan Hendrycks , Mantas Mazeika
‹ 上一页 1 2 3 10 下一页 ›