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12 Eur. J. Legal Stud. 9 (2020)
Human Control over Automation: EU Policy and AI Ethics

handle is hein.journals/ejls12 and id is 13 raw text is: 






GENERAL ARTICLES


  HUMAN CONTROL OVER AUTOMATION: EU POLICY AND AI ETHICS


                              Riikka Koulu*  1


In  this article I problematize the use of algorithmic decision-making (ADM)
applications to automate legal decision-making processes from the perspective of the
European  Union (EU) policy on trustworthy artificial intelligence (AI). Lately, the
use of ADM   systems across various fields, ranging from public to private, from
criminal justice to credit scoring has given rise to concerns about the negative
consequences that data-driven technologies have in reinforcing and reinterpreting
existing societal biases. This development has led to growing demand for ethical AI,
often perceived to require human control over automation. By engaging in discussions
of human-computer  interaction and in post-structural policy analysis, I examine EU
policy proposals to address the problematizations of AI through human oversight. I
argue that the relevant policy documents do not reflect the results of earlier research
which  have  undeniably demonstrated the shortcomings of human   control over
automation, which  in turn leads to the reproduction of the harmful dichotomy of
human  versus machine in EUpolicy. Despite its shortcomings, the emphasis on human
oversight reflects broader fears surrounding loss of control, framed as ethical concerns
around  digital technologies. Critical examination of these fears reveals an inherent
connection between human  agency and the legitimacy of legal decision-making that
socio -legal scholarship needs to address.

Keywords:   algorithmic governance,  Al  ethics, automation, human  control,
oversight, EU  law, legal theory


    Assistant Professor, Director of University of Helsinki Legal Tech Lab, Helsinki.
    I would like to thankJacquelyn Burkell (U Ottawa) for pointing me in the direction
    of post-structural policy analysis as well as J6rg Pohle (HIIG), Ida Koivisto
    (Helsinki), Anne Klinefeldter (UNC), and anonymous reviewers for their valuable
    comments  on earlier versions of this article.


EJLS 12(1), April 2020, 9-46


doi:10.2924/EJLS.2oi9.oi9

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