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PATH-AI: Mapping an Intercultural Path to Privacy, Agency, and Trust in Human-AI Ecosystems

PATH-AI: Mapping an Intercultural Path to Privacy, Agency, and Trust in Human-AI Ecosystems
PATH-AI:在人类人工智能生态系统中绘制隐私、代理和信任的跨文化路径
批准号:
ES/T007354/1
负责人:
David Leslie
金额:
$50.23万
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
项目状态:
已结题
起止时间:
2020 至 --

项目摘要

项目成果

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中文摘要
翻译
Path-AI是英国和日本的合作,将开发和试点一种方法,以跨文化共同设计一个以文化和人类为中心的框架,以建立一个更道德和公平的人类-人工智能生态系统。该项目将依靠一支经验丰富的多学科国际研究团队来建立此类第一个跨文化联合设计框架。首先,对隐私、代理和透明度(PAT)的规范(文化、社会、民族志)和制度(法律、经济、政治)维度进行全面的文献回顾和访谈研究,将澄清英国和日本对这些价值观的特定观点。具体地说,将考虑PAT在人类-人工智能互动中的意义、角色和相互关系,特别关注PAT价值观在提供指导人类-AI互动的其他规范、政治和法律方面的基础作用。第二,通过比较英欧和日本的传统,研究人员将对人类-AI生态系统中的PAT进行全面的看法,扩展或界定这些概念。挑战当前人工智能伦理讨论的局限性,我们将把人工智能伦理扩展到更广泛的文化、价值观和社会景观,并探索这些如何为英国和日本境内的人类-人工智能生态系统的性质和动态提供资金。第三,研究人员将在我们对创新生态系统中PAT的比较分析的启发下,通过委托英国和日本艺术的国际展览,为英国和日本公民之间的交流搭建一座跨文化桥梁。通过两国之间的艺术作品交流,观众将面对对人工智能的不同看法,并将研究他们的反应和观点。这将结束该项目的第一阶段。在第二阶段,将启动工作组内利益攸关方的广泛参与。工作组将合作,共同设计一个独特的、了解文化的人工智能伦理国际治理框架,该框架基于英国和日本丰富的人工智能对峙传统。通过这项工作,我们还将找出政策缺陷并提出建议。这一框架和政策建议将在一次国际会议上发布,为未来的英日人工智能伦理和治理对话奠定基础。我们的工作将使关键利益相关者受益。通过该项目开展的研究将通过加深对英欧和日本关于人与人之间以及人与无生命物体之间的帕特的表现和传统的理解和比较,促进文化和人类学领域的知识。我们的工作还将通过反映政治、法律和经济制度结构如何在实践中适应PAT的不同社会文化观点,为政治哲学、法律和经济学带来关键见解。这将为跨文化伦理研究开辟道路,但也将突出今后以当地规范和信仰为基础并适应当地规范和信仰的机构和能力建设的主要经验教训。Path-AI还将在英国和日本国内和之间的政策制定者、公民社会、研究机构、行业参与者和公民之间建立沟通渠道。通过持续和多方面的利益相关者参与研究过程,我们将既提高我们的研究质量,也将建立在项目之外继续存在的利益相关者关系。此外,通过澄清不同但完整的英国和日本文化,我们将在公民和政策制定者层面上建立两国之间的多元理解和丰富。归根结底,这不仅有利于不同文化间的对话,还将促进未来的政策制定和监管,从而鼓励两国之间的道德创新和经济活动。
英文摘要
PATH-AI is a UK-Japan collaboration that will develop and pilot a methodology for inter-cultural co-design of a culture- and human-centric framework for a more ethical and equitable human-AI ecosystem. The project will rely on an experienced multidisciplinary international team of researchers to build the first of its kind intercultural co-designed framework of this sort.Firstly, a comprehensive literature review and interview-based research on the normative (cultural, social, ethnographic) and institutional (legal, economic, political) dimensions of privacy, agency, and transparency (PAT) will clarify the UK- and Japan-specific views on these values. Specifically, the meaning, roles, and interrelationships between PAT within human-AI interactions will be considered, paying special attention to the fundamental role that PAT values have in furnishing other norms, politices, and laws that guide human-AI interaction.Secondly, by juxtaposing the Anglo-European and Japanese traditions, the researchers will draw a comprehensive view of PAT in human-AI ecosystems, expanding or delimiting these concepts. Challenging the limits of current AI ethics discussions, we will extend AI ethics to a wider landscape of cultures, values, and societies and explore how these have funded the nature and dynamics of the human-AI ecosystems within the UK and Japan. Thirdly, the researchers will build an intercultural bridge for communication between British and Japanese citizens through the commissioning and international exhibitions of British and Japanese art, inspired by our comparative analysis of PAT in innovation ecosystems. By exchanging art pieces between the two countries, viewers will be confronted with different views of AI and their reactions and views will be studied. This will conclude Phase One of the project. In Phase Two, extensive stakeholder engagement within working groups will be initiated. Working groups will collaborate to co-design a unique culture-informed international governance framework for AI ethics that is based on the enriched UK and Japanese traditions of PAT vis-à-vis AI. Through this work, we will also identify policy shortcomings and make recommendations. This framework and policy recommendations will be launched at an international conference, setting the start for future UK-Japan AI ethics and governance dialogues.Our work will benefit key stakeholders. The research carried out through this project will advance knowledge in the cultural, anthropopological fields by deepening understanding of and comparison between Anglo-European and Japanese representations and traditions regarding PAT, both between humans and between humans and inanimate objects. Our work will also bring key insights to political philosophy, law, and economics by reflecting how political, legal, and economic institutional structures adapt to different sociocultural views of PAT in practice. This will chart the path towards intercultural ethical studies, but also will highlight key lessons for future institution- and capacity-building that is to be based on and adapted to local norms and beliefs. PATH-AI will also build communication channels between policy-makers, civil society, research institutions, industry actors, and citizens within and between the UK and Japan. Through continuous and multisided stakeholder involvement in the research process, we will both enhance the quality of our research, but we will also build stakeholder connections that will survive beyond the project. Moreover, by clarifying the different, yet completentary British and Japanese cultures, we will build multual understanding and enrichment between the two nations at the level of both citizens and policy-makers. Ultimately, this will not only benefit intercultural dialogues, but will also facilitate future policy-making and regulation that will encourage ethical innovation and economic activity between the countries as well.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
Multi-level governance and trust in digital contact tracing for COVID-19 in Japan
日本 COVID-19 数字接触者追踪的多级治理和信任
DOI: --
发表时间: 2021
期刊:
影响因子: --
作者: [Kitagawa F]
通讯作者: Kitagawa F
Common Regulatory Capacity for AI
人工智能的共同监管能力
DOI: --
发表时间: 2022
期刊:
影响因子: --
作者: [Aitken M]
通讯作者: Aitken M
Ethical and Responsible IoT: The Edinburgh Initiative
道德和负责任的物联网:爱丁堡倡议
DOI: --
发表时间: 2020
期刊: European Journal of Law and Technology
影响因子: --
作者: [Domínguez A]
通讯作者: Domínguez A
Ethical assurance: a practical approach to the responsible design, development, and deployment of data-driven technologies
道德保证:负责任地设计、开发和部署数据驱动技术的实用方法
DOI: 10.1007/s43681-022-00178-0
发表时间: 2022
期刊: AI and Ethics
影响因子: --
作者: [Burr C]
通讯作者: Burr C
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