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Artificial intelligence (AI) has made remarkable progress in recent years, yet its rapid expansion brings overlooked environmental and ethical challenges. This review explores four critical areas where AI's impact extends beyond…

Artificial Intelligence · Computer Science 2025-07-15 Jenis Winsta

The past decade has observed a significant advancement in AI with deep learning-based models being deployed in diverse scenarios, including safety-critical applications. As these AI systems become deeply embedded in our societal…

Computers and Society · Computer Science 2025-11-06 Dave Mbiazi , Meghana Bhange , Maryam Babaei , Ivaxi Sheth , Patrik Kenfack , Samira Ebrahimi Kahou

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

As artificial intelligence systems grow more powerful, there has been increasing interest in "AI safety" research to address emerging and future risks. However, the field of AI safety remains poorly defined and inconsistently measured,…

Artificial intelligence (AI) is rapidly being integrated into educational contexts, promising personalized support and increased efficiency. However, growing evidence suggests that the uncritical adoption of AI may produce unintended harms…

Human-Computer Interaction · Computer Science 2026-02-05 Lucile Favero , Juan Antonio Pérez-Ortiz , Tanja Käser , Nuria Oliver

This chapter formulates seven lessons for preventing harm in artificial intelligence (AI) systems based on insights from the field of system safety for software-based automation in safety-critical domains. New applications of AI across…

Systems and Control · Electrical Eng. & Systems 2022-02-21 Roel I. J. Dobbe

We present a quantitative model for tracking dangerous AI capabilities over time. Our goal is to help the policy and research community visualise how dangerous capability testing can give us an early warning about approaching AI risks. We…

Artificial Intelligence · Computer Science 2024-12-23 Paolo Bova , Alessandro Di Stefano , The Anh Han

Research in Artificial Intelligence is breaking technology barriers every day. New algorithms and high performance computing are making things possible which we could only have imagined earlier. Though the enhancements in AI are making life…

Medical devices and artificial intelligence systems rapidly transform healthcare provisions. At the same time, due to their nature, AI in or as medical devices might get exposed to cyberattacks, leading to patient safety and security risks.…

Cryptography and Security · Computer Science 2023-03-07 Elisabetta Biasin , Erik Kamenjasevic , Kaspar Rosager Ludvigsen

We sketch how developers of frontier AI systems could construct a structured rationale -- a 'safety case' -- that an AI system is unlikely to cause catastrophic outcomes through scheming. Scheming is a potential threat model where AI…

Artificial intelligence (AI) systems connected to sensor-laden devices are becoming pervasive, which has notable implications for a range of AI risks, including to privacy, the environment, autonomy and more. There is therefore a growing…

Computers and Society · Computer Science 2025-03-25 Mona Sloane , Emanuel Moss , Susan Kennedy , Matthew Stewart , Pete Warden , Brian Plancher , Vijay Janapa Reddi

Applications of Generative AI (Gen AI) are expected to revolutionize a number of different areas, ranging from science & medicine to education. The potential for these seismic changes has triggered a lively debate about the potential risks…

The adoption of machine-learning-enabled systems in the healthcare domain is on the rise. While the use of ML in healthcare has several benefits, it also expands the threat surface of medical systems. We show that the use of ML in medical…

Cryptography and Security · Computer Science 2024-04-15 Mohammed Elnawawy , Mohammadreza Hallajiyan , Gargi Mitra , Shahrear Iqbal , Karthik Pattabiraman

This paper argues that a range of current AI systems have learned how to deceive humans. We define deception as the systematic inducement of false beliefs in the pursuit of some outcome other than the truth. We first survey empirical…

Computers and Society · Computer Science 2023-08-29 Peter S. Park , Simon Goldstein , Aidan O'Gara , Michael Chen , Dan Hendrycks

While Artificial Intelligence (AI) is not a new field, recent developments, especially with the release of generative tools like ChatGPT, have brought it to the forefront of the minds of industry workers and academic folk alike. There is…

Computers and Society · Computer Science 2025-07-22 Prerana Khatiwada , Grace Donaher , Jasymyn Navarro , Lokesh Bhatta

Following the rapid increase in Artificial Intelligence (AI) capabilities in recent years, the AI community has voiced concerns regarding possible safety risks. To support decision-making on the safe use and development of AI systems, there…

Machine Learning · Computer Science 2025-04-01 Gil Gekker , Meirav Segal , Dan Lahav , Omer Nevo

We uncover a phenomenon largely overlooked by the scientific community utilizing AI: neural networks exhibit high susceptibility to minute perturbations, resulting in significant deviations in their outputs. Through an analysis of five…

Foreign information operations on social media platforms pose significant risks to democratic societies. With the rise of Artificial Intelligence (AI), this threat is likely to intensify, potentially overwhelming human defenders. To achieve…

Computers and Society · Computer Science 2025-04-17 Jurriaan van Diggelen , Eugene Aidman , Jazz Rowa , Julian Vince

In an era where digital threats are increasingly sophisticated, the intersection of Artificial Intelligence and cybersecurity presents both promising defenses and potent dangers. This paper delves into the escalating threat posed by the…

Cryptography and Security · Computer Science 2024-08-26 Yusuf Usman , Aadesh Upadhyay , Prashnna Gyawali , Robin Chataut

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