Abstract
This paper examines the implications of the artificial intelligence (AI) revolution on policy analysis. On the one hand, these new capabilities offer huge potential in terms of the breadth and depth by which we understand policy challenges. On the other hand, there are challenges in terms of transparency, ethics, build in biases and decontextualised information. In this paper identify the key drivers of AI in policy analysis and what bottlenecks and risks need to be considered. The paper is particularly focused on the extent to which AI can support or hinder the establishment and continuation of healthy learning cultures within and across organisations that are responsible for influencing, deciding, managing and implementing policy. As such it is examines how AI can support lesson learning, capacity building and resilience of policy solutions. Ultimately, our aim is to assess what impact advanced AI learning models as they exist at the time of writing may have on the policy decision-making processes that have emerged as part of network governance approaches and whether it will lead to increasingly centralised or decentralised decision making.
Original language | English |
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Publication status | Published - 25 Mar 2024 |
Event | Political Studies Association UK Annual Conference 2024: After (Neo-) Liberalism: Towards an Alternative Paradigm? - University of Strathclyde, Glasgow, United Kingdom Duration: 25 Mar 2024 → 27 Mar 2024 https://www.psa.ac.uk/events/psa24 |
Conference
Conference | Political Studies Association UK Annual Conference 2024 |
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Abbreviated title | PSA24 |
Country/Territory | United Kingdom |
City | Glasgow |
Period | 25/03/24 → 27/03/24 |
Internet address |