NSF/DHS Workshop: Policy for Autonomy
NSF/DHS 研讨会:自治政策
基本信息
- 批准号:1621492
- 负责人:
- 金额:$ 4.31万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-01-15 至 2016-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The balance between control and independent decision processes in robotic systems is not well defined and in many cases is poorly understood. From legal liability to individual versus social benefits, the role of regulation remains unclear even as the technology rapidly advances. This workshop will help characterize, frame, and articulate the policy issues related to autonomy and to explore the best legal infrastructure for law and policy on robotics, recognizing a fundamental interdependence between policy and technology challenges, including in the area of autonomy. The Workshop will address four goals: Enhance the understanding of state-of-the-art technology and market trends related to autonomous systems, including robotics technology; Identify opportunities and future research directions for strategic investments in autonomous systems at the national level; Identify and discuss potential policy implications of autonomous systems; and Contribute to the development of a policy framework for autonomous systems. The three application areas of self-driving cars, unmanned aerial vehicles, personal and service robots, future development will benefit from a clearer policy perspective. The workshop will bring together relevant experts in this diverse topic area from academia, industry and government to focus attention articulation of a policy framework for autonomous systems while also identifying future areas for research and collaboration. The workshop report, with a definition of a draft policy for autonomy framework, identification of the implications for the application areas within such a framework, and an outline of future research questions will provide a foundation for work in autonomous systems policy going forward.
在机器人系统中,控制和独立决策过程之间的平衡没有得到很好的定义,在许多情况下也没有得到很好的理解。从法律责任到个人利益与社会利益,监管的作用仍然不清楚,即使技术迅速进步。该讲习班将有助于描述、框定和阐明与自主性有关的政策问题,并探索机器人法律和政策的最佳法律基础设施,同时认识到政策和技术挑战之间的根本相互依存关系,包括在自主性领域。讲习班将探讨四个目标:增进对包括机器人技术在内的自主系统的最新技术和市场趋势的了解;确定在国家一级对自主系统进行战略投资的机会和今后的研究方向;确定和讨论自主系统的潜在政策影响;促进制定自主系统的政策框架。自动驾驶汽车、无人机、个人和服务机器人这三个应用领域,未来的发展将受益于更清晰的政策视角。研讨会将汇集来自学术界、工业界和政府的这一不同主题领域的相关专家,重点关注自主系统的政策框架,同时确定未来的研究和合作领域。讲习班报告界定了自治框架政策草案,确定了这一框架内应用领域的影响,并概述了未来的研究问题,这将为今后自主系统政策方面的工作奠定基础。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Ryan Calo其他文献
2 Short-term Research Priorities 2 . 1 Optimizing AI ’ s Economic Impact
2 短期研究重点 2.1 优化人工智能的经济影响
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
A. Aguirre;Erik Brynjolfsson;Ryan Calo;T. Dietterich;Dileep George;B. Hibbard;D. Hassabis;Eric Horvitz;L. Kaelbling;J. Manyika;Luke Muehlhauser;Michael Osborne;D. Parkes;H. Roff;F. Rossi;B. Selman;M. Shanahan - 通讯作者:
M. Shanahan
Is the law ready for driverless cars?
法律准备好迎接无人驾驶汽车了吗?
- DOI:
- 发表时间:
2018 - 期刊:
- 影响因子:22.7
- 作者:
Ryan Calo - 通讯作者:
Ryan Calo
Artificial Intelligence Policy: A Primer and Roadmap
- DOI:
10.2139/ssrn.3015350 - 发表时间:
2017-08 - 期刊:
- 影响因子:0.3
- 作者:
Ryan Calo - 通讯作者:
Ryan Calo
Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence
人工智能与2030年的生活:人工智能一百年研究
- DOI:
10.48550/arxiv.2211.06318 - 发表时间:
2016 - 期刊:
- 影响因子:0
- 作者:
P. Stone;R. Brooks;Erik Brynjolfsson;Ryan Calo;Oren Etzioni;G. Hager;Julia Hirschberg;Shivaram Kalyanakrishnan;Ece Kamar;Sarit Kraus;Kevin Leyton;D. Parkes;W. Press;A. Saxenian;J. Shah;Milind Tambe;Astro Teller - 通讯作者:
Astro Teller
Ryan Calo的其他文献
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