AI under great uncertainty: implications and decision strategies for public policy

Nordström, Maria

doi:10.1007/s00146-021-01263-4

Cited by 26 publications

(8 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Clumsy solution policies creatively combine all opposing perspectives on what the problem is and how it should be resolved (Ney & Verweij, 2015). Clumsy solutions in turn need adaptive institutional arrangements, which embrace multiple visions and knowledge systems (Nordström, 2021). For example, complex system tools such as agent-based modelling, cellular automata, games, networks and system dynamics can encourage stakeholders to explore various future scenarios, while considering social-ecological interactions, feedback loops (e.g.…”

Section: Promoting Imperfect Yet Intelligent Solutionsmentioning

confidence: 99%

Reframing illegal fishing in small‐scale fisheries as a wicked problem

et al. 2023

View full text Add to dashboard Cite

Wicked problems are typically social justice and social change problems, complex and messy. They mobilize opposed views about the essential nature of the issues, their relative importance and adequate responses. We assert that illegal fishing in small-scale fisheries (SSF) can be considered a wicked problem and our aim is to test this assertion. We relied on a conceptual framework that defines wicked problems as (1) indefinable and non-generalizable, (2) ambiguously bounded, (3) temporally exacting, (4) repercussive, (5) doubly hermeneutic and (6) morally consequential.We applied a qualitative research approach based on field data comprising three illustrative Chilean SSF, whereas secondary data complemented the analysis. The results demonstrate that illegal fishing fits most of the requirements of a wicked policy problem. It is indefinable and non-generalizable, with different representations and uncertainty about its nature, magnitude and effects. Depictions of the nature of the problem varied from a lack of regulations' legitimacy, to a 'combat' to be won. It is ambiguously bounded, caused by interrelated sub-problems (e.g. poverty, access), involving multiple policy sectors, administrative scales and actors. It is also temporally exacting and repercussive as it lacks criteria to prove that a solution has been reached and the implications of alternative solutions (e.g. self-regulation) are unknown. As long as illegal fishing is reframed as a wicked problem, the stakeholders involved can also recognize that there are no perfect solutions and therefore promote a mix of substandard governance approaches.

show abstract

Section: Promoting Imperfect Yet Intelligent Solutionsmentioning

confidence: 99%

Reframing illegal fishing in small‐scale fisheries as a wicked problem

et al. 2023

View full text Add to dashboard Cite

show abstract

“…The concept of policy frames as well as related notions of policy paradigms, discourses and narratives have been productively applied to analyse technology policy (see, e.g., Diercks et al, 2019;Mitzner, 2020;Ulnicane, 2016), governance of emerging technologies (Jasanoff, 2003), and more recently AI policy (see, e.g., Köstler & Ossewaarde, 2022;Nordström, 2021;Ulnicane et al, 2021aUlnicane et al, , 2022. While previous studies of framing AI policy have focussed on governance, uncertainty and national policy, this paper contributes by exploring policy controversies of framing the purpose for AI development and use.…”

Section: Policy Framing Approachmentioning

confidence: 99%

Emerging technology for economic competitiveness or societal challenges? Framing purpose in Artificial Intelligence policy

Ulnicane

2022

GPPG

View full text Add to dashboard Cite

This study examines the policy discussions surrounding the purpose of the development and use of an emerging technology. It applies the two stylized technology policy frames of economic growth and societal challenges to analyse framing of one of the key emerging technologies today—Artificial Intelligence (AI). It demonstrates that recent AI policy documents include both—economic growth as well as societal challenges—frames. While AI is a novel technology, its recent policy builds on traditional ideas about the role of technology in facilitating economic growth and competitiveness supported by well-known measures such as investment in research and highly skilled workforce. Additionally, AI policy draws on more recent frame on the contribution of technology to addressing societal challenges and the Sustainable Development Goals but presents AI as a technological solution to complex societal issues. While some interest in addressing both economic and social objectives in AI policy can be observed, the policy documents remain silent about their compatibility.

show abstract

“…Any programmer or company can develop and apply AI without any restrictions. [3] One reason is that the arrival of the Internet era has greatly reduced the production threshold based on code, and another reason is the development law of AI itself. As mentioned above, only large-scale data input can produce better machine learning results.…”

Section: Challenge In the Governance Structure Of Public Policymentioning

confidence: 99%

Development and Reform of Public Policy in the Era of Artificial Intelligence

Wang¹

2022

BCPBM

View full text Add to dashboard Cite

After the development over half a century, artificial intelligence (AI) has been increasingly applied in the field of Internet and big data technology, and has been growing in leaps and bounds. With the advent of the era of AI, the rise of AI is not only a major development in the field of technology or industry, but also a fundamental and comprehensive reform in the economic, social and political fields. The resulting governance challenges require the reconstruction and innovation of the public policy framework. This paper studies the development and reform of public policy in the era of AI and puts forward relevant suggestions, providing a broader development platform for public policy in the era of AI.

show abstract

AI under great uncertainty: implications and decision strategies for public policy

Cited by 26 publications

References 49 publications

Reframing illegal fishing in small‐scale fisheries as a wicked problem

Reframing illegal fishing in small‐scale fisheries as a wicked problem

Emerging technology for economic competitiveness or societal challenges? Framing purpose in Artificial Intelligence policy

Development and Reform of Public Policy in the Era of Artificial Intelligence

Contact Info

Product

Resources

About