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Algorithmic governance: Developing a research agenda through the power of collective intelligence
Ist Teil von
Big data & society, 2017-09, Vol.4 (2), p.205395171772655
Ort / Verlag
London, England: SAGE Publications
Erscheinungsjahr
2017
Link zum Volltext
Quelle
EZB Electronic Journals Library
Beschreibungen/Notizen
We are living in an algorithmic age where mathematics and computer science are coming
together in powerful new ways to influence, shape and guide our behaviour and the
governance of our societies. As these algorithmic governance structures proliferate, it is
vital that we ensure their effectiveness and legitimacy. That is, we need to ensure that
they are an effective means for achieving a legitimate policy goal that are also
procedurally fair, open and unbiased. But how can we ensure that algorithmic governance
structures are both? This article shares the results of a collective intelligence workshop
that addressed exactly this question. The workshop brought together a multidisciplinary
group of scholars to consider (a) barriers to legitimate and effective algorithmic
governance and (b) the research methods needed to address the nature and impact of
specific barriers. An interactive management workshop technique was used to harness the
collective intelligence of this multidisciplinary group. This method enabled participants
to produce a framework and research agenda for those who are concerned about algorithmic
governance. We outline this research agenda below, providing a detailed map of key
research themes, questions and methods that our workshop felt ought to be pursued. This
builds upon existing work on research agendas for critical algorithm studies in a unique
way through the method of collective intelligence.