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AI ethics is an emerging field with multiple, competing narratives about how to best solve the problem of building human values into machines. Two major approaches are focused on bias and compliance, respectively. But neither of these ideas…

人工智能 · 计算机科学 2023-02-24 Thomas Krendl Gilbert , Megan Welle Brozek , Andrew Brozek

As artificial intelligence systems become increasingly agentic, capable of general reasoning, planning, and value prioritization, current safety practices that treat obedience as a proxy for ethical behavior are becoming inadequate. This…

人工智能 · 计算机科学 2025-07-04 Joseph Boland

As AI systems increasingly permeate everyday life, designers and developers face mounting pressure to balance innovation with ethical design choices. To date, the operationalisation of AI ethics has predominantly depended on frameworks that…

人机交互 · 计算机科学 2025-09-18 Benjamin J. Carroll , Jianlong Zhou , Paul F. Burke , Sabine Ammon

The more AI agents are deployed in scenarios with possibly unexpected situations, the more they need to be flexible, adaptive, and creative in achieving the goal we have given them. Thus, a certain level of freedom to choose the best path…

人工智能 · 计算机科学 2018-12-11 Francesca Rossi , Nicholas Mattei

While the demand for ethical artificial intelligence (AI) systems increases, the number of unethical uses of AI accelerates, even though there is no shortage of ethical guidelines. We argue that a possible underlying cause for this is that…

人工智能 · 计算机科学 2022-01-10 Inga Strümke , Marija Slavkovik , Vince I. Madai

Recent advances in large language models (LLMs) have enabled their use in complex agentic roles, involving decision-making with humans or other agents, making ethical alignment a key AI safety concern. While prior work has examined both…

Artificially intelligent systems, given a set of non-trivial ethical rules to follow, will inevitably be faced with scenarios which call into question the scope of those rules. In such cases, human reasoners typically will engage in…

人工智能 · 计算机科学 2019-11-06 John Licato , Zaid Marji , Sophia Abraham

Artificial Intelligence (AI) is an effective science which employs strong enough approaches, methods, and techniques to solve unsolvable real world based problems. Because of its unstoppable rise towards the future, there are also some…

人工智能 · 计算机科学 2017-06-12 Alice Pavaloiu , Utku Kose

Consumers are generally resistant to Artificial Intelligence (AI) involvement in moral decision-making, perceiving moral agency as requiring uniquely human traits. This research investigates whether consumers might instead accept AIs in the…

人机交互 · 计算机科学 2026-03-25 Greg Nyilasy , Abraham Ryan Ade Putra Hito , Jennifer Overbeck , Brock Bastian , Darren W. Dahl

As Artificial Intelligence (AI) becomes pervasive in most fields, from healthcare to autonomous driving, it is essential that we find successful ways of building morality into our machines, especially for decision-making. However, the…

人工智能 · 计算机科学 2023-10-13 Reneira Seeamber , Cosmin Badea

Artificial Intelligence (AI) applications are being used to predict and assess behaviour in multiple domains, such as criminal justice and consumer finance, which directly affect human well-being. However, if AI is to improve people's…

其他计算机科学 · 计算机科学 2019-06-12 Andrea Aler Tubella , Andreas Theodorou , Virginia Dignum , Frank Dignum

As intelligent systems are increasingly making decisions that directly affect society, perhaps the most important upcoming research direction in AI is to rethink the ethical implications of their actions. Means are needed to integrate…

人工智能 · 计算机科学 2017-06-09 Virginia Dignum

Artificial intelligence (AI) is advancing at a pace that raises urgent questions about how to align machine decision-making with human moral values. This working paper investigates how leading AI systems prioritize moral outcomes and what…

人工智能 · 计算机科学 2025-09-15 Eoin O'Doherty , Nicole Weinrauch , Andrew Talone , Uri Klempner , Xiaoyuan Yi , Xing Xie , Yi Zeng

Using LLMs in healthcare, Computer-Supported Cooperative Work, and Social Computing requires the examination of ethical and social norms to ensure safe incorporation into human life. We conducted a mixed-method study, including an online…

计算机与社会 · 计算机科学 2025-04-28 Omid Veisi , Sasan Bahrami , Roman Englert , Claudia Müller

Large language model (LLM)-based AI agents are increasingly capable of complex clinical reasoning and may soon participate in medical decision-making with limited or no real-time human oversight. This shift raises fundamental questions…

计算机与社会 · 计算机科学 2026-03-17 Tom Bisson , Henriette Voelker , Sanddhya Jayabalan , A John Iafrate , Jakob N Kather , Jochen K Lennerz

With the rise of individual and collaborative networks of autonomous agents, AI is deployed in more key reasoning and decision-making roles. For this reason, ethics-based audits play a pivotal role in the rapidly growing fields of AI safety…

计算机与社会 · 计算机科学 2024-02-06 Jon Chun , Katherine Elkins

One of the most remarkable things about the human moral mind is its flexibility. We can make moral judgments about cases we have never seen before. We can decide that pre-established rules should be broken. We can invent novel rules on the…

As AI systems increasingly operate with autonomy and adaptability, the traditional boundaries of moral responsibility in techno-social systems are being challenged. This paper explores the evolving discourse on the delegation of…

计算机与社会 · 计算机科学 2024-11-26 Gordana Dodig-Crnkovic , Gianfranco Basti , Tobias Holstein

Agentic artificial intelligence systems are autonomous technologies capable of pursuing complex goals with minimal human oversight and are rapidly emerging as the next frontier in AI. While these systems promise major gains in productivity,…

计算机与社会 · 计算机科学 2026-01-13 Theodore Roberts , Bahram Zarrin

Big models have greatly advanced AI's ability to understand, generate, and manipulate information and content, enabling numerous applications. However, as these models become increasingly integrated into everyday life, their inherent…

计算机与社会 · 计算机科学 2023-10-27 Xiaoyuan Yi , Jing Yao , Xiting Wang , Xing Xie
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