This paper presents the risks and opportunities of big data and the potential social benefits it can bring. The research is based on an analysis of the societal impacts observed in a set of six case studies across different European sectors. These impacts are divided into economic, social and ethical, legal and political impacts, and affect areas such as improved efficiency, innovation and decision making, changing business models, dependency on public funding, participation, equality, discrimination and trust, data protection and intellectual property rights, private and public tensions and losing control to actors abroad. A special focus is given to the risks and opportunities coming from the legal framework and how to counter the negative impacts of big data. Recommendations are presented for four specific legal frameworks: copyright and database protection, protection of trade secrets, privacy and data protection and anti-discrimination. In addition, the potential social benefits of big data are exemplified in six domains: improved decision making and event detection; data-driven innovations and new business models; direct social, environmental and other citizen benefits; citizen participation, transparency and public trust; privacy-aware data practices; and big data for identifying discrimination. Several best practices are suggested to capture these benefits.
Generative Artificial Intelligence: Evolving Technology, Growing Societal Impact, and Opportunities for Information Systems Research
Georgia State University（佐治亚州立大学）；City University of Hong Kong（香港城市大学）；Chinese University of Hong Kong, Shenzhen（香港中文大学（深圳））；University of Virginia（弗吉尼亚大学）
Embodied AI: Emerging Risks and Opportunities for Policy Action
Centre for the Governance of AI（治理人工智能中心）；French Center for AI Safety (CeSIA)（法国人工智能安全中心）；Carnegie Mellon University（卡内基梅隆大学）；University of Oxford（牛津大学）；University of Bologna（博洛尼亚大学）；Tony Blair Institute for Global Change（托尼·布莱尔全球变革研究所）；Yale University（耶鲁大学）；Yale Digital Ethics Center（耶鲁数字伦理中心）
