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Trustworthy artificial intelligence (AI) technology has revolutionized daily life and greatly benefited human society. Among various AI technologies, Federated Learning (FL) stands out as a promising solution for diverse real-world…

机器学习 · 计算机科学 2023-02-22 Yifei Zhang , Dun Zeng , Jinglong Luo , Zenglin Xu , Irwin King

As AI systems grow more capable and autonomous, ensuring their safety and reliability requires not only model-level alignment but also strategic oversight of the humans and institutions involved in their development and deployment. Existing…

人工智能 · 计算机科学 2026-02-10 Cheol Woo Kim , Davin Choo , Tzeh Yuan Neoh , Milind Tambe

Artificial Intelligence (AI) has rapidly evolved over the past decade and has advanced in areas such as language comprehension, image and video recognition, programming, and scientific reasoning. Recent AI technologies based on large…

机器学习 · 计算机科学 2024-10-30 Jonghong Jeon

The increasing adoption of System-on-Chip Field-Programmable Gate Arrays (SoC FPGAs) in AI-enabled satellite systems, valued for their reconfigurability and in-orbit update capabilities, introduces significant security challenges.…

密码学与安全 · 计算机科学 2026-02-24 Huimin Li , Vusal Novruzov , Nikhilesh Singh , Lichao Wu , Mohamadreza Rostami , Ahmad-Reza Sadeghi

To counter fragmented, high-risk adoption of commercial AI tools, we built and ran an institutional AI platform in a six-month, 300-user pilot, showing that a university of applied sciences can offer advanced AI with fair access,…

计算机与社会 · 计算机科学 2025-12-11 Ruud Huijts , Koen Suilen

Artificial intelligence (AI) has been advancing at a fast pace and it is now poised for deployment in a wide range of applications, such as autonomous systems, medical diagnosis and natural language processing. Early adoption of AI…

机器学习 · 计算机科学 2023-09-21 Marta Kwiatkowska , Xiyue Zhang

Trustworthiness is a central requirement for the acceptance and success of human-centered artificial intelligence (AI). To deem an AI system as trustworthy, it is crucial to assess its behaviour and characteristics against a gold standard…

As frontier artificial intelligence (AI) systems become more capable, it becomes more important that developers can explain why their systems are sufficiently safe. One way to do so is via safety cases: reports that make a structured…

计算机与社会 · 计算机科学 2024-10-30 Marie Davidsen Buhl , Gaurav Sett , Leonie Koessler , Jonas Schuett , Markus Anderljung

Artificial intelligence (AI) can potentially transform global health, but algorithmic bias can exacerbate social inequities and disparity. Trustworthy AI entails the intentional design to ensure equity and mitigate potential biases. To…

Organizations of all sizes, across all industries and domains are leveraging artificial intelligence (AI) technologies to solve some of their biggest challenges around operations, customer experience, and much more. However, due to the…

计算机与社会 · 计算机科学 2022-11-24 Navdeep Gill , Abhishek Mathur , Marcos V. Conde

Artificial intelligence (AI) technologies (re-)shape modern life, driving innovation in a wide range of sectors. However, some AI systems have yielded unexpected or undesirable outcomes or have been used in questionable manners. As a…

Safety frameworks represent a significant development in AI governance: they are the first type of publicly shared catastrophic risk management framework developed by major AI companies and focus specifically on AI scaling decisions. I…

计算机与社会 · 计算机科学 2024-10-02 Atoosa Kasirzadeh

Integration of AI into environmental regulation represents a significant advancement in data management. It offers promising results in both data protection plus algorithmic fairness. This research addresses the critical need for…

计算机与社会 · 计算机科学 2026-02-10 Sahibpreet Singh , Saksham Sharma

Embodied AI systems, comprising AI models and physical plants, are increasingly prevalent across various applications. Due to the rarity of system failures, ensuring their safety in complex operating environments remains a major challenge,…

Autonomous AI agents powered by Large Language Models can reason, plan, and execute complex tasks, but their ability to autonomously retrieve information and run code introduces significant security risks. Existing approaches attempt to…

密码学与安全 · 计算机科学 2026-04-09 Hongyi Lu , Nian Liu , Shuai Wang , Fengwei Zhang

As AI models are increasingly deployed across diverse real-world scenarios, ensuring their safety remains a critical yet underexplored challenge. While substantial efforts have been made to evaluate and enhance AI safety, the lack of a…

Fully Homomorphic Encryption (FHE) is seeing increasing real-world deployment to protect data in use by allowing computation over encrypted data. However, the same malleability that enables homomorphic computations also raises integrity…

密码学与安全 · 计算机科学 2023-02-14 Alexander Viand , Christian Knabenhans , Anwar Hithnawi

The trustworthiness of AI applications has been the subject of recent research and is also addressed in the EU's recently adopted AI Regulation. The currently emerging foundation models in the field of text, speech and image processing…

As a transformative general-purpose technology, AI has empowered various industries and will continue to shape our lives through ubiquitous applications. Despite the enormous benefits from wide-spread AI deployment, it is crucial to address…

计算机科学与博弈论 · 计算机科学 2023-05-25 Na Zhang , Kun Yue , Chao Fang

The rapid development of Artificial Intelligence (AI) technology has enabled the deployment of various systems based on it. However, many current AI systems are found vulnerable to imperceptible attacks, biased against underrepresented…

人工智能 · 计算机科学 2022-05-27 Bo Li , Peng Qi , Bo Liu , Shuai Di , Jingen Liu , Jiquan Pei , Jinfeng Yi , Bowen Zhou