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Frontier AI labs face intense commercial competitive pressure to develop increasingly powerful systems, raising the risk of a race to the bottom on safety. Voluntary coordination among labs - including by way of joint safety testing,…

Computers and Society · Computer Science 2025-11-13 Nicholas Felstead

Over the past year, artificial intelligence (AI) companies have been increasingly adopting AI safety frameworks. These frameworks outline how companies intend to keep the potential risks associated with developing and deploying frontier AI…

Computers and Society · Computer Science 2024-09-16 Jide Alaga , Jonas Schuett , Markus Anderljung

Agentic AIs $-$ AIs that are capable and permitted to undertake complex actions with little supervision $-$ mark a new frontier in AI capabilities and raise new questions about how to safely create and align such systems with users,…

Computers and Society · Computer Science 2024-10-04 Hayley Clatterbuck , Clinton Castro , Arvo Muñoz Morán

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…

The increasing deployment of Artificial Intelligence (AI) and other autonomous algorithmic systems presents the world with new systemic risks. While focus often lies on the function of individual algorithms, a critical and underestimated…

Computers and Society · Computer Science 2026-02-24 Maurice Chiodo , Dennis Müller

The systemic risks posed by general-purpose AI models are a growing concern, yet the effectiveness of mitigations remains underexplored. Previous research has proposed frameworks for risk mitigation, but has left gaps in our understanding…

Computers and Society · Computer Science 2024-12-04 Risto Uuk , Annemieke Brouwer , Tim Schreier , Noemi Dreksler , Valeria Pulignano , Rishi Bommasani

In this work, we present and analyze reported failures of artificially intelligent systems and extrapolate our analysis to future AIs. We suggest that both the frequency and the seriousness of future AI failures will steadily increase. AI…

Artificial Intelligence · Computer Science 2016-10-26 Roman V. Yampolskiy , M. S. Spellchecker

AI scientist systems, capable of autonomously executing the full research workflow from hypothesis generation and experimentation to paper writing, hold significant potential for accelerating scientific discovery. However, the internal…

Artificial Intelligence · Computer Science 2025-12-23 Ziming Luo , Atoosa Kasirzadeh , Nihar B. Shah

Artificial Intelligence (AI) has rapidly evolved over the past decade and has advanced in areas such as language comprehension, image and video recognition, programming, and scientific reasoning. Recent AI technologies based on large…

Machine Learning · Computer Science 2024-10-30 Jonghong Jeon

Prominent AI experts have suggested that companies developing high-risk AI systems should be required to show that such systems are safe before they can be developed or deployed. The goal of this paper is to expand on this idea and explore…

Computers and Society · Computer Science 2024-06-25 Akash R. Wasil , Joshua Clymer , David Krueger , Emily Dardaman , Simeon Campos , Evan R. Murphy

In April 2021, the European Commission proposed a Regulation on Artificial Intelligence, known as the AI Act. We present an overview of the Act and analyse its implications, drawing on scholarship ranging from the study of contemporary AI…

Computers and Society · Computer Science 2022-06-14 Michael Veale , Frederik Zuiderveen Borgesius

Autonomous systems are emerging in many application domains. With the recent advancements in artificial intelligence and machine learning, sensor technology, perception algorithms and robotics, scenarios previously requiring strong human…

Cryptography and Security · Computer Science 2023-12-05 Mohammad Hamad , Sebastian Steinhorst

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…

Computers and Society · Computer Science 2022-09-23 Benjamin S. Bucknall , Shiri Dori-Hacohen

Artificial intelligence (AI) systems can provide many beneficial capabilities but also risks of adverse events. Some AI systems could present risks of events with very high or catastrophic consequences at societal scale. The US National…

Computers and Society · Computer Science 2023-02-24 Anthony M. Barrett , Dan Hendrycks , Jessica Newman , Brandie Nonnecke

Self-replication with no human intervention is broadly recognized as one of the principal red lines associated with frontier AI systems. While leading corporations such as OpenAI and Google DeepMind have assessed GPT-o3-mini and Gemini on…

Artificial Intelligence · Computer Science 2025-03-26 Xudong Pan , Jiarun Dai , Yihe Fan , Minyuan Luo , Changyi Li , Min Yang

Advanced AI models hold the promise of tremendous benefits for humanity, but society needs to proactively manage the accompanying risks. In this paper, we focus on what we term "frontier AI" models: highly capable foundation models that…

This paper examines the strategic dynamics of international competition to develop Artificial Superintelligence (ASI). We argue that the same assumptions that might motivate the US to race to develop ASI also imply that such a race is…

Computers and Society · Computer Science 2025-01-28 Corin Katzke , Gideon Futerman

This article provides a critical overview of the recently approved Artificial Intelligence Act. It starts by presenting the main structure, objectives, and approach of Regulation (EU) 2024/1689. A definition of key concepts follows, and…

Computers and Society · Computer Science 2024-09-04 Nuno Sousa e Silva

The Directorate General for Parliamentary Research Services of the European Parliament has prepared a report to the Members of the European Parliament where they enumerate seven main risks of Artificial Intelligence (AI) in medicine and…

Modern AI systems are reaping the advantage of novel learning methods. With their increasing usage, we are realizing the limitations and shortfalls of these systems. Brittleness to minor adversarial changes in the input data, ability to…

Computers and Society · Computer Science 2020-11-05 Richa Singh , Mayank Vatsa , Nalini Ratha
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