Evidence map›Paper›PMID 40477961›Full record

ReviewDiscover artificial intelligence2022

Reflections on the human role in AI policy formulations: how do national AI strategies view people?

Henrikki Salo-Pöntinen, Pertti Saariluoma

Abstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Human-centricity in AI governance: A systemic approach.Frontiers in artificial intelligence · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Henrikki Salo-PöntinenCognitive Science, Faculty of Information Technology, University of Jyväskylä, Jyväskylä, Finland.ORCID 0000-0002-8931-4836
Pertti SaariluomaCognitive Science, Faculty of Information Technology, University of Jyväskylä, Jyväskylä, Finland.ORCID 0000-0001-7331-8448

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

AI policyAI strategiesArtificial intelligenceEthical AIHuman–computer interaction (HCI)Human factorsHuman-technology interaction (HTI)Social transformation

Identifiers

PMID40477961
PMCPMC8892409

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.