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: The Alan Turing Institute
• 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: 已结题
• 来源: https://gtr.ukri.org/projects?ref=ES%2FT007354%2F1
• 关键词: PATH; AI; Mapping; Intercultural; Path

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.

PATH-AI是一项英国和日本的合作项目，将开发和试点一种跨文化共同设计以文化和人类为中心的框架的方法，以建立一个更加道德和公平的人类人工智能生态系统。该项目将依托一支经验丰富的多学科国际研究团队，构建首个跨文化合作设计框架。（文化、社会、人种）和体制隐私、代理和透明度（PAT）的（法律的、经济的、政治的）维度将阐明英国和日本对这些价值观的具体看法。具体而言，将考虑人类与人工智能互动中PAT的意义、作用和相互关系，特别关注PAT价值观在提供指导人类与人工智能互动的其他规范、政治和法律方面的基础作用。其次，通过并列英国-欧洲和日本的传统，研究人员将全面了解人类-人工智能生态系统中的PAT，扩展或界定这些概念。为了克服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、价值观和社会领域，并探索这些领域如何为英国和日本的人类-人工智能生态系统的性质和动态提供资金。第三，研究人员将通过英国和日本艺术的委托和国际展览，为英国和日本公民之间的交流建立一座跨文化的桥梁，灵感来自我们对创新生态系统中PAT的比较分析。通过两国之间的艺术作品交流，观众将面临对人工智能的不同看法，并将研究他们的反应和观点。这将结束项目的第一阶段。在第二阶段，将启动工作组内广泛的利益攸关方参与。工作组将合作共同设计一个独特的基于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PAT传统。通过这项工作，我们还将找出政策缺陷并提出建议。该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。通过该项目进行的研究将通过加深对英国-欧洲和日本关于PAT的代表和传统之间的理解和比较，促进文化，人类学领域的知识，包括人类之间以及人类与无生命物体之间。我们的工作还将通过反映政治，法律的和经济制度结构如何适应PAT在实践中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指明道路，但也将突出未来机构和能力建设的关键经验教训，这些经验教训将基于并适应当地规范和信仰。PATH-AI还将在政策制定者、民间社会、研究机构、行业参与者以及英国和日本之间的公民之间建立沟通渠道。通过持续和多方利益相关者参与研究过程，我们将提高我们的研究质量，但我们也将建立利益相关者的联系，将生存超越项目。此外，通过澄清不同的，但完整的英国和日本文化，我们将建立两国之间的相互理解和丰富的公民和政策制定者的水平。最终，这不仅将有利于文化间对话，而且还将促进未来的政策制定和监管，从而鼓励各国之间的伦理创新和经济活动。

项目成果

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

• 发表时间: 2021
• 作者: Kitagawa F

Common Regulatory Capacity for AI

人工智能的共同监管能力

• 发表时间: 2022
• 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

• 发表时间: 2020
• 期刊: European Journal of Law and Technology
• 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
• 作者: Burr C

"International Collaboration PATH-AI (Privacy, Agency and Trust in Human-AI Ecosystems) project updates"

“国际合作 PATH-AI（人类人工智能生态系统中的隐私、代理和信任）项目更新”

• 发表时间: 2022
• 作者: Kitagawa F