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Recent advances in Large Language Models (LLMs) have enabled human-like responses across various tasks, raising questions about their ethical decision-making capabilities and potential biases. This study systematically evaluates how nine…

Computers and Society · Computer Science 2025-11-03 Wentao Xu , Yile Yan , Yuqi Zhu

The rapid proliferation of generative artificial intelligence (AI) tools - especially large language models (LLMs) such as ChatGPT - has ushered in a transformative era in higher education. Universities in developed regions are increasingly…

Human-Computer Interaction · Computer Science 2025-06-30 Russell Beale

As large language models (LLMs) are increasingly used for work, personal, and therapeutic purposes, researchers have begun to investigate these models' implicit and explicit moral views. Previous work, however, focuses on asking LLMs to…

Computers and Society · Computer Science 2025-03-25 Andrew J. Peterson

From moderating content within an online community to producing socially-appropriate generative outputs, decision-making tasks -- conducted by either humans or AI -- often depend on subjective or socially-established criteria. To ensure…

Human-Computer Interaction · Computer Science 2025-09-26 Quan Ze Chen , Amy X. Zhang

The integration of Artificial Intelligence (AI) into construction project management (CPM) is accelerating, with Large Language Models (LLMs) emerging as accessible decision-support tools. This study aims to critically evaluate the ethical…

Artificial Intelligence · Computer Science 2025-09-08 Somtochukwu Azie , Yiping Meng

Benchmarks are pivotal in driving AI progress, and invalid benchmark questions frequently undermine their reliability. Manually identifying and correcting errors among thousands of benchmark questions is not only infeasible but also a…

With the advent of AI technologies, humans and robots are increasingly teaming up to perform collaborative tasks. To enable smooth and effective collaboration, the topic of value alignment (operationalized herein as the degree of dynamic…

Robotics · Computer Science 2024-05-29 Shreyas Bhat , Joseph B. Lyons , Cong Shi , X. Jessie Yang

There is an emerging consensus that we need to align AI systems with human values (Gabriel, 2020; Ji et al., 2024), but it remains unclear how to apply this to language models in practice. We split the problem of "aligning to human values"…

Computers and Society · Computer Science 2024-04-18 Oliver Klingefjord , Ryan Lowe , Joe Edelman

Large language models (LLMs) are increasingly used to simulate human behavior in social settings such as legal mediation, negotiation, and dispute resolution. However, it remains unclear whether these simulations reproduce the…

Artificial Intelligence · Computer Science 2026-02-10 Deuksin Kwon , Kaleen Shrestha , Bin Han , Spencer Lin , James Hale , Jonathan Gratch , Maja Matarić , Gale M. Lucas

Artificial Intelligence (AI) is taking on increasingly autonomous roles, e.g., browsing the web as a research assistant and managing money. But specifying goals and restrictions for AI behavior is difficult. Similar to how parties to a…

Computation and Language · Computer Science 2023-01-31 John J. Nay

This paper introduces the Flourishing AI Benchmark (FAI Benchmark), a novel evaluation framework that assesses AI alignment with human flourishing across seven dimensions: Character and Virtue, Close Social Relationships, Happiness and Life…

AI alignment considers how we can encode AI systems in a way that is compatible with human values. The normative side of this problem asks what moral values or principles, if any, we should encode in AI. To this end, we present a framework…

Computers and Society · Computer Science 2023-01-11 Betty Li Hou , Brian Patrick Green

How can we build AI systems that can learn any set of individual human values both quickly and safely, avoiding causing harm or violating societal standards for acceptable behavior during the learning process? We explore the effects of…

Artificial Intelligence · Computer Science 2024-11-11 Andrea Wynn , Ilia Sucholutsky , Thomas L. Griffiths

There is widespread optimism that frontier Large Language Models (LLMs) and LLM-augmented systems have the potential to rapidly accelerate scientific discovery across disciplines. Today, many benchmarks exist to measure LLM knowledge and…

The rapid advancement of large language models (LLMs) is fundamentally reshaping software engineering (SE), driving a paradigm shift in both academic research and industrial practice. While top-tier SE venues continue to show sustained or…

Software Engineering · Computer Science 2025-12-18 Hang Yu , Yuzhou Lai , Li Zhang , Xiaoli Lian , Fang Liu , Yanrui Dong , Ting Zhang , Zhi Jin , David Lo

Recent advancements in artificial intelligence (AI) are fundamentally reshaping computing, with large language models (LLMs) now effectively being able to generate and interpret source code and natural language instructions. These emergent…

How to accurately and efficiently assess AI-generated images (AIGIs) remains a critical challenge for generative models. Given the high costs and extensive time commitments required for user studies, many researchers have turned towards…

Computer Vision and Pattern Recognition · Computer Science 2025-02-10 Zicheng Zhang , Haoning Wu , Chunyi Li , Yingjie Zhou , Wei Sun , Xiongkuo Min , Zijian Chen , Xiaohong Liu , Weisi Lin , Guangtao Zhai

AI-based systems, including Large Language Models (LLM), impact millions by supporting diverse tasks but face issues like misinformation, bias, and misuse. AI ethics is crucial as new technologies and concerns emerge, but objective,…

Computers and Society · Computer Science 2025-05-19 José Antonio Siqueira de Cerqueira , Mamia Agbese , Rebekah Rousi , Nannan Xi , Juho Hamari , Pekka Abrahamsson

Large Language Models (LLMs) have become increasingly incorporated into everyday life for many internet users, taking on significant roles as advice givers in the domains of medicine, personal relationships, and even legal matters. The…

Computation and Language · Computer Science 2025-10-17 Nicole Smith-Vaniz , Harper Lyon , Lorraine Steigner , Ben Armstrong , Nicholas Mattei

In recent years, the rapid advancement of Artificial Intelligence (AI) technologies, particularly Large Language Models (LLMs), has revolutionized the paradigm of scientific discovery, establishing AI-for-Science (AI4Science) as a dynamic…

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