AI governance in the public sector: Three tales from the frontiers of automated decision-making in democratic settings
Identifieur interne : 000784 ( 2020/Analysis ); précédent : 000783; suivant : 000785AI governance in the public sector: Three tales from the frontiers of automated decision-making in democratic settings
Auteurs : Maciej Kuziemski [États-Unis] ; Gianluca Misuraca [Espagne]Source :
- Telecommunications Policy [ 0308-5961 ] ; 2020.
Abstract
The rush to understand new socio-economic contexts created by the wide adoption of AI is justified by its far-ranging consequences, spanning almost every walk of life. Yet, the public sector's predicament is a tragic double bind: its obligations to protect citizens from potential algorithmic harms are at odds with the temptation to increase its own efficiency - or in other words - to govern algorithms, while governing
Url:
DOI: 10.1016/j.telpol.2020.101976
PubMed: 32313360
PubMed Central: 7164913
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream Pmc, to step Corpus: 000827
- to stream Pmc, to step Curation: 000827
- to stream Pmc, to step Checkpoint: 000673
- to stream Ncbi, to step Merge: 000F27
- to stream Ncbi, to step Curation: 000F27
- to stream Ncbi, to step Checkpoint: 000F27
- to stream Main, to step Merge: 000785
- to stream Main, to step Curation: 000784
- to stream Main, to step Exploration: 000784
- to stream 2020, to step Extraction: 000784
Links to Exploration step
PMC:7164913Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">AI governance in the public sector: Three tales from the frontiers of automated decision-making in democratic settings</title>
<author><name sortKey="Kuziemski, Maciej" sort="Kuziemski, Maciej" uniqKey="Kuziemski M" first="Maciej" last="Kuziemski">Maciej Kuziemski</name>
<affiliation wicri:level="4"><nlm:aff id="aff1">Berkman Klein Center for Internet and Society, Harvard University, Cambridge, MA, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Berkman Klein Center for Internet and Society, Harvard University, Cambridge, MA</wicri:regionArea>
<placeName><region type="state">Massachusetts</region>
<settlement type="city">Cambridge (Massachusetts)</settlement>
</placeName>
<orgName type="university">Université Harvard</orgName>
</affiliation>
</author>
<author><name sortKey="Misuraca, Gianluca" sort="Misuraca, Gianluca" uniqKey="Misuraca G" first="Gianluca" last="Misuraca">Gianluca Misuraca</name>
<affiliation wicri:level="1"><nlm:aff id="aff2">European Commission, Joint Research Centre, Digital Economy Unit, Seville, Spain</nlm:aff>
<country xml:lang="fr">Espagne</country>
<wicri:regionArea>European Commission, Joint Research Centre, Digital Economy Unit, Seville</wicri:regionArea>
<wicri:noRegion>Seville</wicri:noRegion>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PMC</idno>
<idno type="pmid">32313360</idno>
<idno type="pmc">7164913</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7164913</idno>
<idno type="RBID">PMC:7164913</idno>
<idno type="doi">10.1016/j.telpol.2020.101976</idno>
<date when="2020">2020</date>
<idno type="wicri:Area/Pmc/Corpus">000827</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000827</idno>
<idno type="wicri:Area/Pmc/Curation">000827</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Curation">000827</idno>
<idno type="wicri:Area/Pmc/Checkpoint">000673</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Checkpoint">000673</idno>
<idno type="wicri:Area/Ncbi/Merge">000F27</idno>
<idno type="wicri:Area/Ncbi/Curation">000F27</idno>
<idno type="wicri:Area/Ncbi/Checkpoint">000F27</idno>
<idno type="wicri:doubleKey">0308-5961:2020:Kuziemski M:ai:governance:in</idno>
<idno type="wicri:Area/Main/Merge">000785</idno>
<idno type="wicri:Area/Main/Curation">000784</idno>
<idno type="wicri:Area/Main/Exploration">000784</idno>
<idno type="wicri:Area/2020/Extraction">000784</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">AI governance in the public sector: Three tales from the frontiers of automated decision-making in democratic settings</title>
<author><name sortKey="Kuziemski, Maciej" sort="Kuziemski, Maciej" uniqKey="Kuziemski M" first="Maciej" last="Kuziemski">Maciej Kuziemski</name>
<affiliation wicri:level="4"><nlm:aff id="aff1">Berkman Klein Center for Internet and Society, Harvard University, Cambridge, MA, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Berkman Klein Center for Internet and Society, Harvard University, Cambridge, MA</wicri:regionArea>
<placeName><region type="state">Massachusetts</region>
<settlement type="city">Cambridge (Massachusetts)</settlement>
</placeName>
<orgName type="university">Université Harvard</orgName>
</affiliation>
</author>
<author><name sortKey="Misuraca, Gianluca" sort="Misuraca, Gianluca" uniqKey="Misuraca G" first="Gianluca" last="Misuraca">Gianluca Misuraca</name>
<affiliation wicri:level="1"><nlm:aff id="aff2">European Commission, Joint Research Centre, Digital Economy Unit, Seville, Spain</nlm:aff>
<country xml:lang="fr">Espagne</country>
<wicri:regionArea>European Commission, Joint Research Centre, Digital Economy Unit, Seville</wicri:regionArea>
<wicri:noRegion>Seville</wicri:noRegion>
</affiliation>
</author>
</analytic>
<series><title level="j">Telecommunications Policy</title>
<idno type="ISSN">0308-5961</idno>
<idno type="eISSN">0308-5961</idno>
<imprint><date when="2020">2020</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass></textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en"><p>The rush to understand new socio-economic contexts created by the wide adoption of AI is justified by its far-ranging consequences, spanning almost every walk of life. Yet, the public sector's predicament is a tragic double bind: its obligations to protect citizens from potential algorithmic harms are at odds with the temptation to increase its own efficiency - or in other words - to govern algorithms, while governing <italic>by</italic>
algorithms. Whether such dual role is even possible, has been a matter of debate, the challenge stemming from algorithms' intrinsic properties, that make them distinct from other digital solutions, long embraced by the governments, create externalities that rule-based programming lacks. As the pressures to deploy automated decision making systems in the public sector become prevalent, this paper aims to examine how the use of AI in the public sector in relation to existing data governance regimes and national regulatory practices can be <italic>intensifying</italic>
existing power asymmetries. To this end, investigating the legal and policy instruments associated with the use of AI for strenghtening the immigration process control system in Canada; “optimising” the employment services” in Poland, and personalising the digital service experience in Finland, the paper advocates for the need of a common framework to evaluate the potential impact of the use of AI in the public sector. In this regard, it discusses the specific effects of automated decision support systems on public services and the growing expectations for governments to play a more prevalent role in the digital society and to ensure that the potential of technology is harnessed, while negative effects are controlled and possibly avoided. This is of particular importance in light of the current COVID-19 emergency crisis where AI and the underpinning regulatory framework of data ecosystems, have become crucial policy issues as more and more innovations are based on large scale data collections from digital devices, and the real-time accessibility of information and services, contact and relationships between institutions and citizens could strengthen – or undermine - trust in governance systems and democracy.</p>
</div>
</front>
<back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Arundel, A" uniqKey="Arundel A">A. Arundel</name>
</author>
<author><name sortKey="Bloch, C" uniqKey="Bloch C">C. Bloch</name>
</author>
<author><name sortKey="Ferguson, B" uniqKey="Ferguson B">B. Ferguson</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct><analytic><author><name sortKey="Bavitz, T C" uniqKey="Bavitz T">T.C. Bavitz</name>
</author>
<author><name sortKey="Hessekiel, K" uniqKey="Hessekiel K">K. Hessekiel</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct><analytic><author><name sortKey=" Blind For Review" uniqKey=" Blind For Review">[Blind For Review]</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Bloch, C" uniqKey="Bloch C">C. Bloch</name>
</author>
<author><name sortKey="Bugge, M" uniqKey="Bugge M">M. Bugge</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Calo, R" uniqKey="Calo R">R. Calo</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct><analytic><author><name sortKey="Dzindolet, M" uniqKey="Dzindolet M">M. Dzindolet</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Eubanks, V" uniqKey="Eubanks V">V. Eubanks</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct><analytic><author><name sortKey="Finland Government" uniqKey="Finland Government">Finland Government</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Finland Government" uniqKey="Finland Government">Finland Government</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Finland Government" uniqKey="Finland Government">Finland Government</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Finland Government" uniqKey="Finland Government">Finland Government</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Flyvbjerg, B" uniqKey="Flyvbjerg B">B. Flyvbjerg</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct><analytic><author><name sortKey="Frey, C B" uniqKey="Frey C">C.B. Frey</name>
</author>
<author><name sortKey="Osborne, M A" uniqKey="Osborne M">M.A. Osborne</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Friedman, B" uniqKey="Friedman B">B. Friedman</name>
</author>
<author><name sortKey="Nissenbaum, H" uniqKey="Nissenbaum H">H. Nissenbaum</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Gasser, U" uniqKey="Gasser U">U. Gasser</name>
</author>
<author><name sortKey="Schmitt, C" uniqKey="Schmitt C">C. Schmitt</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Government Of Canada" uniqKey="Government Of Canada">Government of Canada</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Government Of Canada" uniqKey="Government Of Canada">Government of Canada</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Government Of Canada" uniqKey="Government Of Canada">Government of Canada</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Government Of Canada" uniqKey="Government Of Canada">Government of Canada</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Government Of Canada" uniqKey="Government Of Canada">Government of Canada</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Jiang, F" uniqKey="Jiang F">F. Jiang</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Jobin, A" uniqKey="Jobin A">A. Jobin</name>
</author>
<author><name sortKey="Ienca, M" uniqKey="Ienca M">M. Ienca</name>
</author>
<author><name sortKey="Vayena, E" uniqKey="Vayena E">E. Vayena</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Johns, F" uniqKey="Johns F">F. Johns</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Lodge, M" uniqKey="Lodge M">M. Lodge</name>
</author>
<author><name sortKey="Mennicken, A" uniqKey="Mennicken A">A. Mennicken</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Mazzucato, M" uniqKey="Mazzucato M">M. Mazzucato</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Mckinsey" uniqKey="Mckinsey">McKinsey</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct><analytic><author><name sortKey="Oxford Insights" uniqKey="Oxford Insights">Oxford Insights</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct><analytic><author><name sortKey="Pfotenhauer, S" uniqKey="Pfotenhauer S">S. Pfotenhauer</name>
</author>
<author><name sortKey="Jasanoff, S" uniqKey="Jasanoff S">S. Jasanoff</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Reisman, D" uniqKey="Reisman D">D. Reisman</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Russel, S" uniqKey="Russel S">S. Russel</name>
</author>
<author><name sortKey="Norvig, P" uniqKey="Norvig P">P. Norvig</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Sandvig, C" uniqKey="Sandvig C">C. Sandvig</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Selbst, A D" uniqKey="Selbst A">A.D. Selbst</name>
</author>
<author><name sortKey="Boyd, D" uniqKey="Boyd D">D. Boyd</name>
</author>
<author><name sortKey="Friedler, S A" uniqKey="Friedler S">S.A. Friedler</name>
</author>
<author><name sortKey="Venkatasubramanian, S" uniqKey="Venkatasubramanian S">S. Venkatasubramanian</name>
</author>
<author><name sortKey="Vertesi, J" uniqKey="Vertesi J">J. Vertesi</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Uk Government" uniqKey="Uk Government">UK Government</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct><analytic><author><name sortKey="Veale, M" uniqKey="Veale M">M. Veale</name>
</author>
<author><name sortKey="Brass, I" uniqKey="Brass I">I. Brass</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Veale, M" uniqKey="Veale M">M. Veale</name>
</author>
<author><name sortKey="Van Kleek, M" uniqKey="Van Kleek M">M. Van Kleek</name>
</author>
<author><name sortKey="Binns, R" uniqKey="Binns R">R. Binns</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="White House" uniqKey="White House">White House</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct><analytic><author><name sortKey="Zuboff, S" uniqKey="Zuboff S">S. Zuboff</name>
</author>
</analytic>
</biblStruct>
</listBibl>
</div1>
</back>
</TEI>
<affiliations><list><country><li>Espagne</li>
<li>États-Unis</li>
</country>
<region><li>Massachusetts</li>
</region>
<settlement><li>Cambridge (Massachusetts)</li>
</settlement>
<orgName><li>Université Harvard</li>
</orgName>
</list>
<tree><country name="États-Unis"><region name="Massachusetts"><name sortKey="Kuziemski, Maciej" sort="Kuziemski, Maciej" uniqKey="Kuziemski M" first="Maciej" last="Kuziemski">Maciej Kuziemski</name>
</region>
</country>
<country name="Espagne"><noRegion><name sortKey="Misuraca, Gianluca" sort="Misuraca, Gianluca" uniqKey="Misuraca G" first="Gianluca" last="Misuraca">Gianluca Misuraca</name>
</noRegion>
</country>
</tree>
</affiliations>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/StressCovidV1/Data/2020/Analysis
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000784 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/2020/Analysis/biblio.hfd -nk 000784 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Sante |area= StressCovidV1 |flux= 2020 |étape= Analysis |type= RBID |clé= PMC:7164913 |texte= AI governance in the public sector: Three tales from the frontiers of automated decision-making in democratic settings }}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/2020/Analysis/RBID.i -Sk "pubmed:32313360" \ | HfdSelect -Kh $EXPLOR_AREA/Data/2020/Analysis/biblio.hfd \ | NlmPubMed2Wicri -a StressCovidV1
This area was generated with Dilib version V0.6.33. |