PEAs in Pods: Co-production of community-based public engagement for data and AI research
Pods 中的 PEAs:基于社区的公众参与数据和人工智能研究的联合生产
基本信息
- 批准号:EP/W033488/1
- 负责人:
- 金额:$ 20.43万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2022
- 资助国家:英国
- 起止时间:2022 至 无数据
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Our project, PEAs in Pods, will empower the Greater Manchester (GM) data science and artificial intelligence (AI) research communities to engage meaningfully with traditionally marginalised communities and embed coproduction methods into individual and institutional research processes and governance. The theme of our public engagement activities is around AI and data-driven technologies. The need to engage citizens in the research and development of this field is increasingly widely recognised, with benefits including increased public trust and more socially relevant applications. If we want to build trust we must first reach out to citizens, inspire them to get involved and demonstrate that their voices have influence.We will train a cohort of data scientists and AI researchers, known as Public Engagement Ambassadors (PEAs), from three GM universities, then guide and mentor them to work confidently with co-researchers from three traditionally marginalised and digitally excluded groups. Teams will co-produce a set of relevant public engagement events and activities that respond to the distinct needs, interests, and understandings of these community groups. Following evaluation, they will then co-develop a set of legacy resources for on-going community engagement beyond the project under the theme "Data Ethics and AI in a Box". In parallel, the Public Engagement Champion will engage with the universities to build awareness of and appetite for longer-term researcher-community interaction. She will lead the co-production of mechanisms that will embed sustained interaction with traditionally marginalised groups into institutional research processes across GM. The project will therefore also empower these communities to have a voice and help influence the direction of data science and AI research and its impact on society.
我们的项目PEAs in Pods将使大曼彻斯特(GM)数据科学和人工智能(AI)研究社区能够与传统上被边缘化的社区进行有意义的接触,并将共同生产方法嵌入个人和机构的研究过程和治理中。我们公众参与活动的主题是围绕人工智能和数据驱动技术。越来越多的人认识到需要让公民参与这一领域的研究和开发,其好处包括增加公众信任和更多的社会相关应用。如果我们想建立信任,我们必须首先接触公民,激励他们参与进来,并证明他们的声音有影响力。我们将培训一批来自三所通用汽车大学的数据科学家和人工智能研究人员,称为公众参与大使(PEAs),然后指导和指导他们自信地与来自三个传统上被边缘化和数字化排斥的群体的共同研究人员合作。团队将共同制作一系列相关的公众参与活动,以满足这些社区团体的不同需求,兴趣和理解。在评估之后,他们将共同开发一套传统资源,用于在“数据道德和AI in a Box”主题下的项目之外持续进行社区参与。与此同时,公众参与冠军将与大学合作,建立长期研究人员与社区互动的意识和兴趣。她将领导机制的共同制作,这些机制将与传统上被边缘化的群体进行持续的互动,并将其纳入整个通用汽车的机构研究过程。因此,该项目还将使这些社区拥有发言权,并帮助影响数据科学和人工智能研究的方向及其对社会的影响。
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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Keeley Crockett其他文献
A hybrid heuristic approach for attribute-oriented mining
- DOI:
10.1016/j.dss.2013.08.012 - 发表时间:
2014-01-01 - 期刊:
- 影响因子:
- 作者:
Maybin K. Muyeba;Keeley Crockett;Wenjia Wang;John A. Keane - 通讯作者:
John A. Keane
Erratum to: Natural language scripting within conversational agent design
- DOI:
10.1007/s10489-013-0489-6 - 发表时间:
2013-10-26 - 期刊:
- 影响因子:3.500
- 作者:
Karen O’Shea;Keeley Crockett;Zuhair Bandar;James O’Shea - 通讯作者:
James O’Shea
Keeley Crockett的其他文献
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