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Scheming, the covert pursuit of misaligned goals by AI systems, represents a potentially catastrophic risk, yet scheming research suffers from significant limitations. In particular, scheming evaluations demonstrate behaviours that may not…

计算机与社会 · 计算机科学 2026-04-13 Tommy Shaffer Shane , Simon Mylius , Hamish Hobbs

In AI-assisted decision-making, it is crucial but challenging for humans to appropriately rely on AI, especially in high-stakes domains such as finance and healthcare. This paper addresses this problem from a human-centered perspective by…

人机交互 · 计算机科学 2025-02-21 Takehiro Takayanagi , Ryuji Hashimoto , Chung-Chi Chen , Kiyoshi Izumi

Human cognitive biases in software engineering can lead to costly errors. While general-purpose AI (GPAI) systems may help mitigate these biases due to their non-human nature, their training on human-generated data raises a critical…

The increasing use of digital teaching and emerging technologies, particularly AI-based tools, such as ChatGPT, is presenting an inevitable and significant impact on higher education. The capability of processing and generating text could…

Artificial intelligence is fundamentally changing how health content is encountered and acted upon across both the information and healthcare ecosystems. AI systems now generate claims, curate information, interpret symptoms, synthesize…

计算机与社会 · 计算机科学 2026-05-25 Matthew R. DeVerna , Harry Yaojun Yan , Kai-Cheng Yang , Filippo Menczer

What is the nature of curiosity? Is there any scientific way to understand the origin of this mysterious force that drives the behavior of even the stupidest naturally intelligent systems and is completely absent in their smartest…

人工智能 · 计算机科学 2016-06-28 Alex Ushveridze

When working with generative artificial intelligence (AI), users may see productivity gains, but the AI-generated content may not match their preferences exactly. To study this effect, we introduce a Bayesian framework in which…

人工智能 · 计算机科学 2025-07-08 Francisco Castro , Jian Gao , Sébastien Martin

Artificial intelligence (AI) and large language models (LLM) are reshaping science, with most recent advances culminating in fully-automated scientific discovery pipelines. But qualitative research has been left behind. Researchers in…

人工智能 · 计算机科学 2025-11-13 Stine Beltoft , Lukas Galke

Nowadays, we delegate many of our decisions to Artificial Intelligence (AI) that acts either in solo or as a human companion in decisions made to support several sensitive domains, like healthcare, financial services and law enforcement. AI…

人工智能 · 计算机科学 2025-12-15 Nicoleta Tantalaki , Athena Vakali

Foundation models such as GPT-4 are fine-tuned to avoid unsafe or otherwise problematic behavior, such as helping to commit crimes or producing racist text. One approach to fine-tuning, called reinforcement learning from human feedback,…

Artificially intelligent chatbot, such as ChatGPT, represents a recent and powerful advancement in the AI domain. Users prefer them for obtaining quick and precise answers, avoiding the usual hassle of clicking through multiple links in…

Just as people improve decision-making by consulting diverse human advisors, they can now also consult with multiple AI systems. Prior work on group decision-making shows that advice aggregation creates pressure to conform, leading to…

人机交互 · 计算机科学 2026-03-24 Yuta Tsuchiya , Yukino Baba

This article explores the ethical problems arising from the use of ChatGPT as a kind of generative AI and suggests responses based on the Human-Centered Artificial Intelligence (HCAI) framework. The HCAI framework is appropriate because it…

计算机与社会 · 计算机科学 2023-04-25 Alejo Jose G. Sison , Marco Tulio Daza , Roberto Gozalo-Brizuela , Eduardo C. Garrido-Merchán

In nonlinear dynamical systems, tipping refers to a critical transition from one steady state to another, typically catastrophic, steady state, often resulting from a saddle-node bifurcation. Recently, the machine-learning framework of…

混沌动力学 · 物理学 2026-04-09 Smita Deb , Zheng-Meng Zhai , Mulugeta Haile , Ying-Cheng Lai

For robots to interact socially, they must interpret human intentions and anticipate their potential outcomes accurately. This is particularly important for social robots designed for human care, which may face potentially dangerous…

机器人学 · 计算机科学 2024-07-11 Noé Zapata , Gerardo Pérez , Lucas Bonilla , Pedro Núñez , Pilar Bachiller , Pablo Bustos

Generative AI has made significant strides, yet concerns about the accuracy and reliability of its outputs continue to grow. Such inaccuracies can have serious consequences such as inaccurate decision-making, the spread of false…

数据库 · 计算机科学 2023-10-12 Nan Tang , Chenyu Yang , Ju Fan , Lei Cao , Yuyu Luo , Alon Halevy

As AI technologies increase in capability and ubiquity, AI accidents are becoming more common. Based on normal accident theory, high reliability theory, and open systems theory, we create a framework for understanding the risks associated…

计算机与社会 · 计算机科学 2024-03-13 Heather M. Williams , Roman V. Yampolskiy

ChatGPT is not only fun to chat with, but it also searches information, answers questions, and gives advice. With consistent moral advice, it might improve the moral judgment and decisions of users, who often hold contradictory moral…

计算机与社会 · 计算机科学 2023-01-19 Sebastian Krügel , Andreas Ostermaier , Matthias Uhl

ChatGPT has gained both positive and negative publicity after reports suggesting that it is able to pass various professional and licensing examinations. This suggests that ChatGPT may pass Turing Test in the near future. However, a…

计算与语言 · 计算机科学 2023-04-26 Maurice HT Ling

One of the most recent and fascinating breakthroughs in artificial intelligence is ChatGPT, a chatbot which can simulate human conversation. ChatGPT is an instance of GPT4, which is a language model based on generative gredictive…

机器学习 · 计算机科学 2024-06-21 Michael Kohler , Adam Krzyzak