UKRI Trustworthy Autonomous Systems Node in Governance and Regulation

UKRI 治理和监管领域值得信赖的自治系统节点

基本信息

  • 批准号:
    EP/V026607/1
  • 负责人:
  • 金额:
    $ 340.44万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2020
  • 资助国家:
    英国
  • 起止时间:
    2020 至 无数据
  • 项目状态:
    未结题

项目摘要

How can we trust autonomous computer-based systems? Autonomous means "independent and having the power to make your own decisions". This proposal tackles the issue of trusting autonomous systems (AS) by building: experience of regulatory structure and practice, notions of cause, responsibility and liability, and tools to create evidence of trustworthiness into modern development practice. Modern development practice includes continuous integration and continuous delivery. These practices allow continuous gathering of operational experience, its amplification through the use of simulators, and the folding of that experience into development decisions. This, combined with notions of anticipatory regulation and incremental trust building form the basis for new practice in the development of autonomous systems where regulation, systems, and evidence of dependable behaviour co-evolve incrementally to support our trust in systems.This proposal is in consortium with a multi-disciplinary team from Edinburgh, Heriot-Watt, Glasgow, KCL, Nottingham and Sussex, bringing together computer science and AI specialists, legal scholars, AI ethicists, as well as experts in science and technology studies and design ethnography. Together, we present a novel software engineering and governance methodology that includes: 1) New frameworks that help bridge gaps between legal and ethical principles (including emerging questions around privacy, fairness, accountability and transparency) and an autonomous systems design process that entails rapid iterations driven by emerging technologies (including, e.g. machine learning in-the-loop decision making systems) 2) New tools for an ecosystem of regulators, developers and trusted third parties to address not only functionality or correctness (the focus of many other Nodes) but also questions of how systems fail, and how one can manage evidence associated with this to facilitate better governance. 3) Evidence base from full-cycle case studies of taking AS through regulatory processes, as experienced by our partners, to facilitate policy discussion regarding reflexive regulation practices.
我们如何信任基于计算机的自主系统?自主意味着“独立,有权做出自己的决定”。该建议通过以下方式解决信任自治系统(AS)的问题:监管结构和实践的经验、原因、责任和责任的概念,以及在现代发展实践中创建可信性证据的工具。现代开发实践包括持续集成和持续交付。这些做法允许持续收集业务经验,通过使用模拟器扩大这些经验,并将这些经验纳入发展决策。这一点,再加上预见性监管和逐步建立信任的概念,构成了自主系统开发中新实践的基础,在这些系统中,监管、系统和可靠行为的证据共同进化,以支持我们对系统的信任。这项提议是与来自爱丁堡、赫里奥特-瓦特、格拉斯哥、KCL、诺丁汉和苏塞克斯的多学科团队联合提出的,汇集了计算机科学和人工智能专家、法律学者、人工智能伦理学家以及科学技术研究和设计人种学方面的专家。我们共同提出了一种新颖的软件工程和治理方法,其中包括:1)帮助弥合法律和道德原则(包括有关隐私、公平、问责和透明度的新问题)和自主系统设计过程之间差距的新框架,该过程需要由新兴技术驱动的快速迭代(例如,包括机器学习环路决策系统)2)用于监管机构、开发人员和可信第三方生态系统的新工具,以不仅解决功能或正确性(许多其他节点的焦点),而且解决系统如何故障的问题,以及如何管理与此相关的证据以促进更好的治理。3)从我们的合作伙伴所经历的通过监管过程采取AS的全周期案例研究的证据基础,以促进关于反身性监管实践的政策讨论。

项目成果

期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Quantifying harm
量化危害
How do you solve a problem like Alexa?
如何解决像 Alexa 这样的问题?
  • DOI:
    10.38023/72720413-36c5-4ee3-ba65-b7d0396fcd82
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Atabey A
  • 通讯作者:
    Atabey A
Symbol Grounding and Task Learning from Imperfect Corrections
符号基础和不完美修正的任务学习
  • DOI:
    10.18653/v1/2021.splurobonlp-1.1
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Appelgren M
  • 通讯作者:
    Appelgren M
A Causal Analysis of Harm
危害的因果分析
  • DOI:
    10.48550/arxiv.2210.05327
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Beckers S
  • 通讯作者:
    Beckers S
On Specifying for Trustworthiness
  • DOI:
    10.1145/3624699
  • 发表时间:
    2022-06
  • 期刊:
  • 影响因子:
    22.7
  • 作者:
    Dhaminda B. Abeywickrama;A. Bennaceur;Greg Chance;Y. Demiris;Anastasia Kordoni;Mark Levine;Luke Moffat-Luke
  • 通讯作者:
    Dhaminda B. Abeywickrama;A. Bennaceur;Greg Chance;Y. Demiris;Anastasia Kordoni;Mark Levine;Luke Moffat-Luke
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Subramanian Ramamoorthy其他文献

Preliminary findings of confocal laser endomicroscopy and Raman spectroscopy in human breast tissue characterisation
  • DOI:
    10.1016/j.ejso.2022.03.144
  • 发表时间:
    2022-05-01
  • 期刊:
  • 影响因子:
  • 作者:
    Ahmed Ezzat;Khushi Vyas;Manish Chauhan;Martin Asenov;Anna Silvanto;Animesh Jha;Subramanian Ramamoorthy;Alexander Thompson;Daniel Richard Leff
  • 通讯作者:
    Daniel Richard Leff

Subramanian Ramamoorthy的其他文献

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{{ truncateString('Subramanian Ramamoorthy', 18)}}的其他基金

Topological Methods for Learning to Steer Self-Organised Growth
学习引导自组织增长的拓扑方法
  • 批准号:
    EP/X017753/1
  • 财政年份:
    2023
  • 资助金额:
    $ 340.44万
  • 项目类别:
    Research Grant

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  • 批准号:
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Making Systems Answer: Dialogical Design as a Bridge for Responsibility Gaps in Trustworthy Autonomous Systems
让系统给出答案:对话设计作为可信赖自治系统中责任差距的桥梁
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用于长期可信自治系统(RAILS)的负责任的人工智能:将负责任的人工智能与社会法律治理相结合
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Collaborative Research: CPS: Medium: ASTrA: Automated Synthesis for Trustworthy Autonomous Utility Services
合作研究:CPS:媒介:ASTrA:值得信赖的自治公用事业服务的自动合成
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Assuring Responsibility for Trustworthy Autonomous Systems
确保值得信赖的自治系统的责任
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Trustworthy Human-Centric Autonomous Systems
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