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Related papers: Is Power-Seeking AI an Existential Risk?

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AI-based systems have been used widely across various industries for different decisions ranging from operational decisions to tactical and strategic ones in low- and high-stakes contexts. Gradually the weaknesses and issues of these…

Human-Computer Interaction · Computer Science 2022-01-13 Morteza Saberi

Can AI agents predict whether they will succeed at a task? We study agentic uncertainty by eliciting success probability estimates before, during, and after task execution. All results exhibit agentic overconfidence: some agents that…

Artificial Intelligence · Computer Science 2026-02-09 Jean Kaddour , Srijan Patel , Gbètondji Dovonon , Leo Richter , Pasquale Minervini , Matt J. Kusner

The conventional discourse on existential risks (x-risks) from AI typically focuses on abrupt, dire events caused by advanced AI systems, particularly those that might achieve or surpass human-level intelligence. These events have severe…

Computers and Society · Computer Science 2025-01-20 Atoosa Kasirzadeh

In recent years prominent intellectuals have raised ethical concerns about the consequences of artificial intelligence. One concern is that an autonomous agent might modify itself to become "superintelligent" and, in supremely effective…

Artificial Intelligence · Computer Science 2017-03-07 Sebastian Benthall

Recent advances in artificial intelligence (AI) have led to a wide range of predictions about its long-term impact on humanity. A central focus is the potential emergence of transformative AI (TAI), eventually capable of outperforming…

General Economics · Economics 2026-04-24 Jakub Growiec , Klaus Prettner

As machine learning systems become more powerful they also become increasingly unpredictable and opaque. Yet, finding human-understandable explanations of how they work is essential for their safe deployment. This technical report…

We take the position that agent security must be approached as a systems problem: the AI model powering the agent must be treated as an untrusted component, and security invariants must be enforced at the system level. Through this lens,…

In coming years or decades, artificial general intelligence (AGI) may surpass human capabilities across many critical domains. We argue that, without substantial effort to prevent it, AGIs could learn to pursue goals that are in conflict…

Artificial Intelligence · Computer Science 2025-05-06 Richard Ngo , Lawrence Chan , Sören Mindermann

While artificial intelligence (AI) holds enormous promise, many experts in the field are warning that there is a non-trivial chance that the development of AI poses an existential threat to humanity. Existing regulatory initiative do not…

Computers and Society · Computer Science 2025-03-26 Bryan Druzin , Anatole Boute , Michael Ramsden

A morally acceptable course of AI development should avoid two dangers: creating unaligned AI systems that pose a threat to humanity and mistreating AI systems that merit moral consideration in their own right. This paper argues these two…

Computers and Society · Computer Science 2025-10-16 Adam Bradley , Bradford Saad

In the midst of the growing integration of Artificial Intelligence (AI) into various aspects of our lives, agents are experiencing a resurgence. These autonomous programs that act on behalf of humans are neither new nor exclusive to the…

Artificial Intelligence · Computer Science 2024-12-24 Chirag Shah , Ryen W. White

Artificial intelligence (AI) was initially developed as an implicit moral agent to solve simple and clearly defined tasks where all options are predictable. However, it is now part of our daily life powering cell phones, cameras, watches,…

Computers and Society · Computer Science 2020-02-11 Mohamed Akrout , Robert Steinbauer

This book-length article combines several peer reviewed papers and new material to analyze the issues of ethical artificial intelligence (AI). The behavior of future AI systems can be described by mathematical equations, which are adapted…

Artificial Intelligence · Computer Science 2015-11-18 Bill Hibbard

Artificial Intelligence (AI) agents capable of autonomous learning and independent decision-making hold great promise for addressing complex challenges across various critical infrastructure domains, including transportation, energy…

Multiagent Systems · Computer Science 2025-07-02 Hepeng Li , Yuhong Liu , Jun Yan , Jie Gao , Xiaoou Yang

AI-related incidents are becoming increasingly frequent and severe, ranging from safety failures to misuse by malicious actors. In such complex situations, identifying which elements caused an adverse outcome, the problem of cause…

Artificial Intelligence · Computer Science 2026-03-17 Maria Victoria Carro , David Lagnado

AI agents have been boosted by large language models. AI agents can function as intelligent assistants and complete tasks on behalf of their users with access to tools and the ability to execute commands in their environments. Through…

Cryptography and Security · Computer Science 2024-12-19 Yifeng He , Ethan Wang , Yuyang Rong , Zifei Cheng , Hao Chen

If capable AI agents are generally incentivized to seek power in service of the objectives we specify for them, then these systems will pose enormous risks, in addition to enormous benefits. In fully observable environments, most reward…

Artificial Intelligence · Computer Science 2022-10-13 Alexander Matt Turner , Prasad Tadepalli

The progressive advent of artificial intelligence machines may represent both an opportunity or a threat. In order to have an idea of what is coming we propose a model that simulate a Human-AI ecosystem. In particular we consider systems…

Human-Computer Interaction · Computer Science 2022-10-12 Pierluigi Contucci , János Kertész , Godwin Osabutey

In this study, we investigate system-level emergent risks of interacting AI agents. The core contribution of this work is an exploratory scenario-based identification of these risks as well as their categorization. We consider a multitude…

Computers and Society · Computer Science 2025-12-22 Paul Darius , Thomas Hoppe , Andrei Aleksandrov

In the largest survey of its kind, 2,778 researchers who had published in top-tier artificial intelligence (AI) venues gave predictions on the pace of AI progress and the nature and impacts of advanced AI systems The aggregate forecasts…