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The governance of frontier general-purpose artificial intelligence has become a public-sector problem of institutional design, not merely a technical issue of model performance. Recent evidence indicates that AI capabilities are advancing…

计算机与社会 · 计算机科学 2026-04-09 Fabio Correa Xavier

Large language models now possess human-level linguistic abilities in many contexts. This raises the concern that they can be used to deceive and manipulate on unprecedented scales, for instance spreading political misinformation on social…

计算机与社会 · 计算机科学 2026-01-21 Christian Tarsney

Propelled by their remarkable capabilities to generate novel and engaging content, Generative Artificial Intelligence (GenAI) technologies are disrupting traditional workflows in many industries. While prior research has examined GenAI from…

人机交互 · 计算机科学 2024-04-08 Yuan Sun , Eunchae Jang , Fenglong Ma , Ting Wang

This paper reviews Trustworthy Artificial Intelligence (TAI) and its various definitions. Considering the principles respected in any society, TAI is often characterized by a few attributes, some of which have led to confusion in regulatory…

计算机与社会 · 计算机科学 2025-02-13 Mohamad M Nasr-Azadani , Jean-Luc Chatelain

New systems employ Machine Learning to sift through large knowledge sources, creating flexible Large Language Models. These models discern context and predict sequential information in various communication forms. Generative AI, leveraging…

人工智能 · 计算机科学 2023-07-19 Ted Selker

Trustworthy artificial intelligence (AI) has become an important topic because trust in AI systems and their creators has been lost. Researchers, corporations, and governments have long and painful histories of excluding marginalized groups…

计算机与社会 · 计算机科学 2022-03-07 Ashwin , William Agnew , Umut Pajaro , Hetvi Jethwani , Arjun Subramonian

Generative AI (GenAI) systems are inherently non-deterministic, producing varied outputs even for identical inputs. While this variability is central to their appeal, it challenges established HCI evaluation practices that typically assume…

人机交互 · 计算机科学 2026-01-30 Hyerim Park , Khanh Huynh , Malin Eiband , Jeremy Dillmann , Sven Mayer , Michael Sedlmair

Is a new regulated profession, such as Artificial Intelligence (AI) Architect who is responsible and accountable for AI outputs necessary to ensure trustworthy AI? AI is becoming all pervasive and is often deployed in everyday technologies,…

计算机与社会 · 计算机科学 2020-06-29 Labhaoise Ni Fhaolain , Andrew Hines

The widespread use of Generative Artificial Intelligence (GAI) among teenagers has led to significant misuse and safety concerns. To identify risks and understand parental controls challenges, we conducted a content analysis on Reddit and…

人机交互 · 计算机科学 2024-10-31 Yaman Yu , Tanusree Sharma , Melinda Hu , Justin Wang , Yang Wang

Many scientists use generative AI in their scientific work. People working in technology assessment (TA) are no exception. TA's approach to generative AI is twofold: on the one hand, generative AI is used for TA work, and on the other hand,…

人工智能 · 计算机科学 2025-09-03 Wolfgang Eppler , Reinhard Heil

The rise of generative AI (GenAI) chatbots accessible via conversational interfaces is transforming digital interactions and holds economic promise. However, these tools might deepen existing inequalities -- not only through uneven,…

Generative AI (GenAI) platforms, such as ChatGPT, have gained popularity among the public due to their ease of access, use, and support of educational and creative activities. Despite these benefits, GenAI poses unique risks for families,…

人机交互 · 计算机科学 2025-11-26 Shirley Zhang , Dakota Sullivan , Jennica Li , Bengisu Cagiltay , Bilge Mutlu , Heather Kirkorian , Kassem Fawaz

This research examines the role of Generative Artificial Intelligence (AI) in enhancing citizen engagement in participatory budgeting. In response to challenges like declining civic participation and increased societal polarization, the…

计算机与社会 · 计算机科学 2025-09-25 Italo Alberto do Nascimento Sousa , Jorge Machado , Jose Carlos Vaz

The rise of generative AI (GenAI) has impacted many aspects of human life. As these systems become embedded in everyday practices, understanding public trust in them is also essential for responsible adoption and governance. Prior work on…

Societal cognitive overload, driven by the deluge of information and complexity in the AI age, poses a critical challenge to human well-being and societal resilience. This paper argues that mitigating cognitive overload is not only…

计算机与社会 · 计算机科学 2025-04-29 Salem Lahlou

The proliferation of generative AI has transformed creative workflows, yet current systems face critical challenges in controllability and content protection. We propose a novel multi-agent framework that addresses both limitations through…

多智能体系统 · 计算机科学 2026-01-21 Haris Khan , Sadia Asif

Generative AI (GAI) technologies are quickly reshaping the educational landscape. As adoption accelerates, understanding how students and educators perceive these tools is essential. This study presents one of the most comprehensive…

社会与信息网络 · 计算机科学 2026-01-07 Paulina DeVito , Akhil Vallala , Sean Mcmahon , Yaroslav Hinda , Benjamin Thaw , Hanqi Zhuang , Hari Kalva

The rapid adoption of generative AI-powered search engines like ChatGPT, Perplexity, and Gemini is fundamentally reshaping information retrieval, moving from traditional ranked lists to synthesized, citation-backed answers. This shift…

信息检索 · 计算机科学 2025-09-15 Mahe Chen , Xiaoxuan Wang , Kaiwen Chen , Nick Koudas

The availability and abundance of GenAI tools to administer tasks traditionally managed by people have raised concerns, particularly within the education and academic sectors, as some students may highly rely on these tools to complete the…

计算机与社会 · 计算机科学 2025-04-15 Mahshid Sadeghpour , Arathi Arakala , Asha Rao

Although AI systems are increasingly being leveraged to provide value to organizations, individuals, and society, significant attendant risks have been identified and have manifested. These risks have led to proposed regulations,…

人工智能 · 计算机科学 2024-12-06 David Piorkowski , Michael Hind , John Richards