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Recently, a lot of attention has been given to undesired consequences of Artificial Intelligence (AI), such as unfair bias leading to discrimination, or the lack of explanations of the results of AI systems. There are several important…

Computers and Society · Computer Science 2019-12-23 Richard Benjamins , Alberto Barbado , Daniel Sierra

The potential for negative impacts of AI has rapidly become more pervasive around the world, and this has intensified a need for responsible AI governance. While many regulatory bodies endorse risk-based approaches and a multitude of risk…

Computers and Society · Computer Science 2025-02-24 Julia Barnett , Kimon Kieslich , Natali Helberger , Nicholas Diakopoulos

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

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…

Conventional AI evaluation approaches concentrated within the AI stack exhibit systemic limitations for exploring, navigating and resolving the human and societal factors that play out in real world deployment such as in education, finance,…

If autonomous AI systems are to be reliably safe in novel situations, they will need to incorporate general principles guiding them to recognize and avoid harmful behaviours. Such principles may need to be supported by a binding system of…

Computers and Society · Computer Science 2023-04-21 Ondrej Bajgar , Jan Horenovsky

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

Agents operating in unstructured environments often produce negative side effects (NSE), which are difficult to identify at design time. While the agent can learn to mitigate the side effects from human feedback, such feedback is often…

Artificial Intelligence · Computer Science 2021-02-16 Sandhya Saisubramanian , Shlomo Zilberstein

This paper argues that fully autonomous AI agents should not be developed. In support of this position, we build from prior scientific literature and current product marketing to delineate different AI agent levels and detail the ethical…

Artificial Intelligence · Computer Science 2025-10-21 Margaret Mitchell , Avijit Ghosh , Alexandra Sasha Luccioni , Giada Pistilli

Powerful artificial intelligence poses an existential threat if the AI decides to drastically change the world in pursuit of its goals. The hope of low-impact artificial intelligence is to incentivize AI to not do that just because this…

Artificial Intelligence · Computer Science 2023-03-07 Danilo Naiff , Shashwat Goel

The endowment of AI with reasoning capabilities and some degree of agency is widely viewed as a path toward more capable and generalizable systems. Our position is that the current development of agentic AI requires a more holistic,…

The premise of this working paper is based around agent-based simulation models and how to go about creating them from given incomplete information. Agent-based simulations are stochastic simulations that revolve around groups of agents…

Multiagent Systems · Computer Science 2019-02-06 Daniel Stroud , Christian Wagner , Peer-Olaf Siebers

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 leading AI companies are increasingly focused on building generalist AI agents -- systems that can autonomously plan, act, and pursue goals across almost all tasks that humans can perform. Despite how useful these systems might be,…

The field of AI is undergoing a fundamental transition from generative models that can produce synthetic content to artificial agents that can plan and execute complex tasks with only limited human involvement. Companies that pioneered the…

Artificial Intelligence · Computer Science 2025-02-12 Noam Kolt

Artificial Intelligence (AI) is one of the most discussed technologies today. There are many innovative applications such as the diagnosis and treatment of cancer, customer experience, new business, education, contagious diseases…

Computers and Society · Computer Science 2020-01-28 Richard Benjamins , Idoia Salazar

There is a growing proliferation of AI systems designed to mimic people's behavior, work, abilities, likenesses, or humanness -- systems we dub AI automatons. Individuals, groups, or generic humans are being simulated to produce creative…

Computers and Society · Computer Science 2025-03-05 Alexandra Olteanu , Solon Barocas , Su Lin Blodgett , Lisa Egede , Alicia DeVrio , Myra Cheng

Artificial intelligence (AI) is an emerging technology that has the potential to transform many aspects of society, including the economy, healthcare, and transportation. This article synthesizes recent research literature on the global…

Cryptography and Security · Computer Science 2024-01-24 Chandregowda Pachegowda

As AI becomes more "agentic," it faces technical and socio-legal issues it must address if it is to fulfill its promise of increased economic productivity and efficiency. This paper uses technical and legal perspectives to explain how…

Computers and Society · Computer Science 2025-08-13 Mark O. Riedl , Deven R. Desai
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