Book part:
The New Imbroglio – Living with Machine Algorithms

dc.contributor.editorJanssens, Liisa
dc.creatorHildebrandt, Mireille
dc.date.accessioned2020-02-18T15:13:59Z
dc.date.available2020-02-18T15:13:59Z
dc.date.issued2016
dc.description.abstractThis essay will discuss two types of algorithms: those capable of learning from their own ‘mistakes’ and those that are not fitted with such capacities. The first concern machine learning (ML), the second can be categorised as ‘dumb’ ‘if this then that’ algorithms (IFTTTs). I will suggest that each can have added value as well as drawbacks, depending on how they are used, in what context and for what purpose. As the decision to engage either one of them may have far-reaching consequences for those subjected to their outcome, I propose that both should be constraint in ways that open them up to scrutiny and render their computational judgements liable to being nullified as a result of legal proceedings.en
dc.identifier.doi10.25969/mediarep/13395
dc.identifier.urihttps://mediarep.org/handle/doc/14317
dc.languageeng
dc.publisherAmsterdam University Press
dc.publisher.placeAmsterdam
dc.relation.isPartOfisbn:9789462984493
dc.relation.isPartOfdoi:https://doi.org/10.25969/mediarep/13454
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0
dc.subjectmachine learningen
dc.subjectdumb algorithmsen
dc.subjectautomationen
dc.subjectautonomicen
dc.subjectuncertaintyen
dc.subjectlegal certaintyen
dc.subjectRule of Lawen
dc.subjectpublic administrationen
dc.subject.ddcddc:004
dc.subject.ddcddc:700
dc.titleThe New Imbroglio – Living with Machine Algorithmsen
dc.typebookPart
dc.type.statuspublishedVersion
dspace.entity.typeBookParten
local.coverpage2021-05-29T01:11:52
local.source.booktitleThe Art of Ethics in the Information Society
local.source.epage60
local.source.spage55

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