ReviewDiscover artificial intelligence2022
Reflections on the human role in AI policy formulations: how do national AI strategies view people?
Review in Discover artificial intelligence, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Human-centricity in AI governance: A systemic approach.Frontiers in artificial intelligence · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: There is no artificial intelligence (AI) without people. People design and develop AI; they modify and use it and they have to reorganize the ways they have carried out tasks in their work and everyday life. National strategies are documents made to describe how different nations foster AI and as human dimensions are such an important aspect of AI, this study sought to investigate major national strategy documents to determine how they view the human role in emerging AI societies. Approach: Our method for analyzing the strategies was conceptual analysis since the development of technology is embedded with conceptual ideas of humanity, explicit or implicit, and in addition to deepening analysis of explicit argumentation the method enables the deconstruction and reconstruction of meanings and conceptual relations within the strategies, exposing presumptions and tacit commitments of the writers. Findings: The analysis of the documents illustrates that the general tendency in national strategies is globally dominantly technology-driven as the state of affairs appears to be creating new technologies. However, various human research points such as usability, user experience, sociotechnical and life-based themes are less well represented. Because national strategies are used to develop innovation processes, we argue that future development of national strategies could be improved by taking human research issues more energetically in the agenda. Originality: Our study elaborates the current trends in AI-policy discourses and discusses reasons and possibilities for more holistic policymaking, making it a valuable resource for policymakers, researchers, and the larger public.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.