Artificial intelligence (AI) has driven many information and communication technology (ICT) breakthroughs. Nonetheless, the scope of ICT systems has expanded far beyond AI since the Turing test proposal. Critically, recent AI regulation proposals adopt AI definitions affecting ICT techniques, approaches, and systems that are not AI. In some cases, even works from mathematics, statistics, and engineering would be affected. Worryingly, AI misdefinitions are observed from Western societies to the Global South. In this paper, we propose a framework to score how validated as appropriately-defined for regulation (VADER) an AI definition is. Our online, publicly-available VADER framework scores the coverage of premises that should underlie AI definitions for regulation, which aim to (i) reproduce principles observed in other successful technology regulations, and (ii) include all AI techniques and approaches while excluding non-AI works. Regarding the latter, our score is based on a dataset of representative AI, non-AI ICT, and non-ICT examples. We demonstrate our contribution by reviewing the AI regulation proposals of key players, namely the United States, United Kingdom, European Union, and Brazil. Importantly, none of the proposals assessed achieve the appropriateness score, ranging from a revision need to a concrete risk to ICT systems and works from other fields.
Le Nozze di Giustizia. Interactions between Artificial Intelligence, Law, Logic, Language and Computation with some case studies in Traffic Regulations and Health Care
On the false election between regulation and innovation. Ideas for regulation through the responsible use of artificial intelligence in research and education.[Spanish version]
Instituto de Investigación en Inteligencia Artificial (IIIA-CSIC)（西班牙国家研究委员会人工智能研究所）；La Trobe University Law School（拉筹伯大学法学院）；Institut de Dret i Tecnologia de la Universitat Autònoma de Barcelona (IDT-UAB)（巴塞罗那自治大学法律与技术研究所）
Auction-Based Regulation for Artificial Intelligence
Department of Computer Science, University of Maryland, College Park, MD, USA（马里兰大学计算机科学系，College Park, MD, USA）；SAP Labs, LLC（SAP实验室）；Department of Computer Science, University of Central Florida, FL, USA（佛罗里达大学计算机科学系，FL, USA）
MAIR: Framework for mining relationships between research articles, strategies, and regulations in the field of explainable artificial intelligence
MI 2 Data Lab（MI 2数据实验室）；Faculty of Mathematics and Information Science, Warsaw University of Technology（华沙理工大学数学与信息科学学院）；Faculty of Mathematics, Informatics and Mechanics, University of Warsaw（华沙大学数学、信息学与力学学院）；Faculty of Political Science and International Studies, University of Warsaw（华沙大学政治科学与国际研究学院）；Faculty of Physics, Warsaw University of Technology（华沙理工大学物理学院）；Faculty of Economics, University of Warsaw（华沙大学经济学院）
Business and Regulatory Responses to Artificial Intelligence: Dynamic Regulation, Innovation Ecosystems and the Strategic Management of Disruptive Technology
Assessing the impact of regulations and standards on innovation in the field of AI
University of Sassari（萨萨里大学）；Dragonfly；British Computer Society（英国计算机学会）；Beyond Reach Consulting；Society for Computers and Law（计算机与法律学会）；ITechLaw Association（ITechLaw协会）
Federated Learning and AI Regulation in the European Union: Who is Responsible? -- An Interdisciplinary Analysis
School of Computation, Information and Technology, Technical University of Munich（慕尼黑工业大学计算、信息与技术学院）；University of Bayreuth（拜罗伊特大学）；University of Toronto（多伦多大学）
Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation
University of Granada（格拉纳达大学）；DaSCI Andalusian Institute in Data Science and Computational Intelligence（安达卢西亚数据科学与计算智能研究所（DaSCI））；TECNALIA（泰克纳利亚研究中心）；Basque Research and Technology Alliance (BRTA)（巴斯克研究与技术联盟（BRTA））；University of the Basque Country (UPV/EHU)（巴斯克大学（UPV/EHU））；University of Vienna（维也纳大学）；Cornell University（康奈尔大学）；ADIA Lab（阿布扎比投资局实验室）；Khalifa University of Science and Technology（哈利法科技大学）
Federated Learning Priorities Under the European Union Artificial Intelligence Act
Technical University of Munich（慕尼黑工业大学）；University of Cambridge（剑桥大学）；IBM T.J. Watson Research Center（IBM TJ·沃森研究中心）；Flower Labs；University of Bayreuth（拜罗伊特大学）；University of Toronto（多伦多大学）
Artificial Intelligence Development Races in Heterogeneous Settings
Teesside University（提赛德大学）；Universidade Nova de Lisboa（里斯本新大学）；Universidade de Lisboa（里斯本大学）；Université Libre de Bruxelles（布鲁塞尔自由大学）；Vrije Universiteit Brussel（布鲁塞尔自由大学）；UC Berkeley（加州大学伯克利分校）；Université Libre de Bruxelles-Vrije Universiteit Brussel（布鲁塞尔自由大学-布鲁塞尔自由大学）
False Sense of Security in Explainable Artificial Intelligence (XAI)
Institute of Informatics, University of Warsaw（华沙大学信息学研究所）；School of Law, Seoul National University（首尔国立大学法学院）；Dongin Law Group（东仁法律集团）；Wesang Co., Ltd.（Wesang有限公司）；Informatism LLC（Informatism有限责任公司）
Confronting Catastrophic Risk: The International Obligation to Regulate Artificial Intelligence
The Chinese University of Hong Kong（香港中文大学）；King’s College London（伦敦国王学院）；University of British Columbia（不列颠哥伦比亚大学）；Groningen University（格罗宁根大学）；Leuven University（鲁汶大学）；Bedford Row（贝德福德路25号）
Mediating Artificial Intelligence Developments through Negative and Positive Incentives
Teesside University（提赛德大学）；NOVA Laboratory for Computer Science and Informatics (NOVA LINCS)（NOVA计算机科学与信息学实验室（NOVA LINCS））；Universidade Nova de Lisboa（里斯本新大学）；Université Libre de Bruxelles（布鲁塞尔自由大学（法语区））；Vrije Universiteit Brussel（布鲁塞尔自由大学（荷语区））；INESC-ID（系统与计算机工程、科学与发展研究所）；Instituto Superior Tecnico（高等技术学院）；Universidade de Lisboa（里斯本大学）
