In the age of big data, companies and governments are increasingly using algorithms to inform hiring decisions, employee management, policing, credit scoring, insurance pricing, and many more aspects of our lives. AI systems can help us make evidence-driven, efficient decisions, but can also confront us with unjustified, discriminatory decisions wrongly assumed to be accurate because they are made automatically and quantitatively. It is becoming evident that these technological developments are consequential to people's fundamental human rights. Despite increasing attention to these urgent challenges in recent years, technical solutions to these complex socio-ethical problems are often developed without empirical study of societal context and the critical input of societal stakeholders who are impacted by the technology. On the other hand, calls for more ethically- and socially-aware AI often fail to provide answers for how to proceed beyond stressing the importance of transparency, explainability, and fairness. Bridging these socio-technical gaps and the deep divide between abstract value language and design requirements is essential to facilitate nuanced, context-dependent design choices that will support moral and social values. In this paper, we bridge this divide through the framework of Design for Values, drawing on methodologies of Value Sensitive Design and Participatory Design to present a roadmap for proactively engaging societal stakeholders to translate fundamental human rights into context-dependent design requirements through a structured, inclusive, and transparent process.
Cultural Rights and the Rights to Development in the Age of AI: Implications for Global Human Rights Governance
Ludwig Maximilian University of Munich（慕尼黑大学）；Technical University of Munich（慕尼黑工业大学）；Tallinn University of Technology（塔林理工大学）；Santos Integrity International（桑托斯诚信国际）；University of Edinburgh（爱丁堡大学）；Stellenbosch University（斯泰伦博斯大学）；Changwon National University（昌原国立大学）；Bonn Sustainable AI Lab（波恩可持续人工智能实验室）；University of Ghana（加纳大学）；AI Commons（AI共享平台）；Cardinal Stefan Wyszyński University in Warsaw（华沙红衣主教斯捷潘·维申斯基大学）；African Union（非洲联盟）；American University of Beirut（贝鲁特美国大学）；University of Patras（帕特雷大学）；Rutgers University（罗格斯大学）；TUM Think Tank（慕尼黑工业大学智库）；Global Solutions Initiative（全球解决方案倡议）；Ulster University（阿尔斯特大学）
From Consumption to Reflection: Designing Human-AI Relations for Stable Reasoning
Faculty of Medicine, Lund University（吕勒欧大学医学院）；Department of Economics, Lund University School of Economics and Management（吕勒欧大学经济学与管理学院经济系）；Department of Health Services Research and Policy, London School of Hygiene & Tropical Medicine（伦敦卫生与热带医学学院健康服务研究与政策系）
Navigating AI Policy Landscapes: Insights into Human Rights Considerations Across IEEE Regions
Dept. of Law（法律系）；Gregorios College of Law（Gregorios法学院）；Dept. of Electronics and Comm. Engg.（电子与通信工程系）；College of Engineering（工程学院）；Dept. of Civil Engg.（土木工程系）；APJ Abdul Kalam Technological University（APJ阿卜杜勒·拉赫曼·卡里姆技术大学）
PADTHAI-MM: Principles-based Approach for Designing Trustworthy, Human-centered AI using MAST Methodology
Arizona State University（亚利桑那州立大学）；Aptima, Inc.（Aptima公司）；U.S. Department of Homeland Security（美国国土安全部）；Air Force Office of Scientific Research（空军科学研究办公室）
Exploring Multidimensional Checkworthiness: Designing AI-assisted Claim Prioritization for Human Fact-checkers
School of Information, University of Texas at Austin（德克萨斯大学奥斯汀分校信息学院）；Institute of Applied Computer Science, Łódź University of Technology（罗兹理工大学应用计算机科学研究所）
Rights by Architecture: A Human-Compatible Sociotechnical Layer for Digital Protection Across Regulatory Regimes
Vienna University of Economics and Business（维也纳经济大学）；IT:U Interdisciplinary Transformation University Austria（IT:U奥地利跨学科转型大学）；Delft University of Technology（代尔夫特理工大学）
