Data Governance in the Age of Large-Scale Data-Driven Language Technology
Hugging Face；Ontocord；EleutherAI；University of Copenhagen（哥本哈根大学）；University of Essex（埃塞克斯大学）；AWS AI Research & Education（AWS人工智能研究与教育）；Allen Institute for Artificial Intelligence（艾伦人工智能研究所）
Yacine Jernite, Huu Nguyen, Stella Biderman, Anna Rogers, Maraim Masoud, Valentin Danchev, Samson Tan, Alexandra Sasha Luccioni, Nishant Subramani, Gérard Dupon… 展开作者
Yacine Jernite, Huu Nguyen, Stella Biderman, Anna Rogers, Maraim Masoud, Valentin Danchev, Samson Tan, Alexandra Sasha Luccioni, Nishant Subramani, Gérard Dupont, Jesse Dodge, Kyle Lo, Zeerak Talat, Isaac Johnson, Dragomir Radev, Somaieh Nikpoor, Jörg Frohberg, Aaron Gokaslan, Peter Henderson, Rishi Bommasani, Margaret Mitchell
备注：
32 pages: Full paper and Appendices; Association for Computing Machinery, New York, NY, USA, 2206-2222
发表信息：
Proceedings of 2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT '22)
The recent emergence and adoption of Machine Learning technology, and specifically of Large Language Models, has drawn attention to the need for systematic and transparent management of language data. This work proposes an approach to global language data governance that attempts to organize data management amongst stakeholders, values, and rights. Our proposal is informed by prior work on distributed governance that accounts for human values and grounded by an international research collaboration that brings together researchers and practitioners from 60 countries. The framework we present is a multi-party international governance structure focused on language data, and incorporating technical and organizational tools needed to support its work.
Integrated Design and Governance of Agentic AI Systems through Adaptive Information Modulation
Department of Mechanical and Industrial Engineering（机械与工业工程系）；Institute of Experiential AI（体验人工智能研究所）；Network Science Institute（网络科学研究所）；Northeastern University（东北大学）；Boston, MA 02115, United States（波士顿，马萨诸塞州，02115，美国）
Strategic Innovation Management in the Age of Large Language Models Market Intelligence, Adaptive R&D, and Ethical Governance
Iran University of Science & Technology（伊朗科技大学）；Sharif University of Technology（谢里夫理工大学）；Iran University of Medical Sciences（伊朗医科大学）；Shahid Beheshti University of Medical Sciences（沙希德·贝赫什提医科大学）；Alborz Vocational Technical University（阿尔伯兹职业技术大学）；Islamic Azad University（伊斯兰阿扎德大学）
From Memory to Skills: Evidence-Grounded Co-Evolution Governance for Long-Horizon LLM Agents
University of Science and Technology of China（中国科学技术大学）；Hong Kong Polytechnic University（香港理工大学）；Fuzhou University（福州大学）；Xi’an Jiaotong University（西安交通大学）
LLM-empowered Agents Simulation Framework for Scenario Generation in Service Ecosystem Governance
School of Software, Shandong University（软件学院，山东大学）；Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University（SDU-NTU人工智能研究中心（C-FAIR），山东大学）；College of Intelligence and Computing, Tianjin University（智能与计算学院，天津大学）；Tianjin Key Laboratory of Healthy Habitat and Smart Technology（天津健康人居环境与智能技术重点实验室）；Laboratory of Computation and Analytics of Complex Management Systems, Tianjin University（复杂管理系统计算与分析实验室，天津大学）；ShanDa Dareway Software Co. Ltd（山东达瑞软件有限公司）
In this paper we present a novel model for governing societies based on modern information technology, which neither relies on manual bureaucratic labor, nor depends on process-based e-government services for governance. We expose the flaws of the later and argue that it is not feasible for sustainable governance due to permanently changing laws and instead propose a model in which people can govern themselves in a self-service manner by relying on constellations of data stored in a network of governmental databases to which citizen and officials have read- and write access under rules defined…
Information and Communication Technology (ICT) has been playing a pivotal role since the last decade in developing countries that brings citizen services to the doorsteps and connecting people. With this aspiration ICT has introduced several technologies of citizen services towards all categories of people. The purpose of this study is to examine the Governance technology perspectives for political party, emphasizing on the basic critical steps through which it could be operationalized. We call it P-Governance. P-Governance shows technologies to ensure governance, management, interaction commu…
TU Berlin（柏林工业大学）；Weizenbaum Institute（魏岑鲍姆研究所）；KU Leuven（鲁汶大学）；University of Münster（明斯特大学）
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