Clarke, Emma ORCID: 0000-0003-4483-0172, Pandit, Harshvardhan J. ORCID: 0000-0002-5068-3714 and Wall, Patrick J. ORCID: 0000-0002-5859-4425 (2022) We need to talk about AI: the case for citizens’ think-ins for citizen-researcher dialogue and deliberation. Other. Dublin City University- ADAPT.
Abstract
Artificial Intelligence (AI) has become one of the most important and ubiquitous technologies across the world. On a daily basis, we interact with powerful AI-based technologies through our use of mobile phones, voice assistants, and even our cars. Despite the widespread adoption of AI, questions and concerns exist around the ethical use of these technologies and their potential to reconfigure our personal and working lives.
The Science Foundation Ireland ADAPT Research Centre has developed the Citizens’ Think-Ins model of citizen-researcher dialogue. ADAPT’s Think-In series to date has focused specifically on AI and the role it increasingly plays in our lives, and its impact on culture and society.
This white paper presents an analysis of the various discussions that took place within the Citizens’ Think-Ins series. The discussions are presented with specific reference to citizens and civic society, academia, industry, and policymakers, and provide concrete recommendations to each stakeholder group, to draw parallels between their requirements, and to encourage the periodic use of Citizens’ Think-Ins as part of a larger deliberative and participatory approach comprising all stakeholders.
Metadata
Item Type: | Monograph (Other) |
---|---|
Refereed: | No |
Uncontrolled Keywords: | ethical AI; citizen engagement |
Subjects: | Computer Science > Artificial intelligence |
DCU Faculties and Centres: | Research Institutes and Centres > ADAPT |
Publisher: | Dublin City University- ADAPT |
Copyright Information: | © 2022 |
Funders: | Science Foundation Ireland (SFI) Discover Programme, Science Foundation Ireland Grant Agreement No. 13/RC/2106_P2, Irish Research Council Government of Ireland Postdoctoral Fellowship Grant#GOIPD/2020/790 |
ID Code: | 27820 |
Deposited On: | 05 Oct 2022 08:46 by Emma Clarke . Last Modified 21 Nov 2023 10:30 |
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