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Shaping 21st Century AI: Controversies and Closure in Media, Policy, and Research

塑造 21 世纪人工智能：媒体、政策和研究领域的争议和终结

基本信息

批准号：
ES/V013599/1
负责人：
Noortje Suzanne Marres
金额：
$ 43.5万
依托单位：
University of Warwick
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2021
资助国家：
英国
起止时间：
2021 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=ES%2FV013599%2F1
关键词：
Shaping 21st Century AI Controversies

项目摘要

Talk about "artificial intelligence" (AI) is abundant. Politicians, experts and start-up founders tell us that AI will change how we live, communicate, work and travel tomorrow. Autonomous vehicles, the detection of illnesses, automated filtering of misinformation and hate speech - AI is seemingly set out to fix fundamental problems of our societies. At the same time, substantive concerns are raised that these developments might reinforce social and economic inequality, exacerbate the opacity of decision-making processes, and ultimately question human autonomy. Moreover, the direction of the scientific field itself is up for dispute, with leading practitioners of machine learning publicly disagreeing about the long-term importance of different approaches to designing and training these artificial agents.This conjunction of dynamic technological developments and fundamental controversies sets the perfect scene for a comparative, longitudinal inquiry into how AI as a sociotechnical phenomenon is being integrated into our societies. Although we have seen spikes of interest in AI before, 21st-century AI is currently in its formative stage - unsettled in the public debate, but also in expert policy and research communities. And while progress in machine learning has long come in the form of experiments, today these 'experiments' take place in our everyday lived environment; this is the implicit subtext of the profusion of publications of consultancy surveys, ethics whitepapers, national AI strategies, and large redeployments of research funding.The proposed project seeks to contrast both regional and globalized trajectories in four key countries: Canada, France, the UK, and Germany. Within and across these countries, the project compares and relates to each other-using historical, ethnographic, and computational methods appropriate to each case-the discourse and developments around AI's "deep learning revolution" over 10 formative years (2012 to 2021) in three layers: in the media, in the policy space, and in the research community.The field work builds on and extends the "cartographie de controverses" that has been developed at the Media Lab, Sciences Po. The media analysis will investigate AI debates in major news outlets, niche websites and social media conversation. The policy analysis will map and analyze the existing policy initiatives, whitepapers and regulations in each country, with careful attention to their rationales. Policy analysis will employ select expert interviews and social media conversations to contextualise policy developments.The research analysis will map publication archives and scientific communities as well as experiment with ethnographic embedding in relevant workshops and conferences where AI intersects with social issues (e.g. of online propaganda or of bias in machine learning models). In addition, the project will investigate and instigate formats of public engagement by hosting participatory workshops that enable stakeholders and members of the public to debate and negotiate AI pathways. Each of these analyses and interventions will not be conducted in a stand-alone manner, but will reflexively inform one another.This particular research design allows the project to retrace how 21st-century AI has been repeatedly constructed as both a problem and a solution: how throughout its brief history and unknown future, AI cultures negotiate across controversies and (apparent) closure without the scope of "AI" ever being fully defined.This international, comparative, multi-methodological study with a clear commitment to public knowledge and engagement seeks to extend and redistribute the range of expertise that is relevant to ensure that the coming of AI is truly for the greater good.

关于“人工智能”（AI）的讨论很多。政治家、专家和初创企业创始人告诉我们，人工智能将改变我们明天的生活、沟通、工作和旅行方式。自动驾驶汽车、疾病检测、错误信息和仇恨言论的自动过滤--人工智能似乎旨在解决我们社会的根本问题。与此同时，人们提出了实质性的关切，即这些发展可能会加剧社会和经济不平等，加剧决策过程的不透明性，并最终质疑人类的自主性。此外，科学领域本身的发展方向也存在争议，机器学习领域的主要从业者公开表示，他们不同意设计和训练这些人工智能体的不同方法的长期重要性。动态技术发展和基本争议的结合为比较、纵向研究人工智能作为一种社会技术现象如何融入我们的社会提供了完美的场景。虽然我们之前已经看到了对人工智能的兴趣激增，但21世纪的人工智能目前正处于形成阶段-在公共辩论中尚未解决，但在专家政策和研究社区中也是如此。虽然机器学习的进展长期以来一直以实验的形式出现，但今天这些“实验”发生在我们的日常生活环境中;这是大量咨询调查、伦理白皮书、国家人工智能战略和研究资金大规模重新部署的出版物的隐含潜台词。拟议的项目旨在对比四个关键国家的区域和全球化轨迹：加拿大、法国、英国和德国。在这些国家内部和之间，该项目使用适合每种情况的历史，民族志和计算方法来比较和相互联系-围绕人工智能的“深度学习革命”的话语和发展超过10年的形成（2012年至2021年）分为三个层次：在媒体、政策领域和研究界。实地工作以巴黎政治学院媒体实验室开发的“争议制图”为基础并进行了扩展。媒体分析将调查主要新闻媒体、利基网站和社交媒体对话中的人工智能辩论。政策分析将绘制和分析每个国家现有的政策举措、白皮书和法规，并仔细关注其理由。政策分析将采用精选的专家访谈和社交媒体对话，将政策发展置于情境中。研究分析将绘制出版物档案和科学社区，并在人工智能与社会问题（例如在线宣传或机器学习模型中的偏见）交叉的相关研讨会和会议中尝试民族志嵌入。此外，该项目将通过举办参与式研讨会，使利益相关者和公众能够辩论和谈判人工智能途径，调查和鼓励公众参与的形式。这些分析和干预措施中的每一项都不会以独立的方式进行，而是会反射性地相互通知。这种特殊的研究设计使该项目能够追溯21世纪的人工智能如何被反复构建为问题和解决方案：在其短暂的历史和未知的未来中，人工智能文化在争议中进行谈判，（明显的）封闭，而“人工智能”的范围从未得到充分界定。这种国际性的，比较性的，一项明确致力于公众知识和参与的多方法研究，旨在扩大和重新分配相关的专业知识范围，以确保人工智能的到来真正有利于更大的利益。