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Man vs Machine: Accountability Mechanisms and New Technology

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dc.contributor.author Retter, Amelia
dc.date.accessioned 2019-12-04T01:13:18Z
dc.date.accessioned 2022-07-12T02:35:05Z
dc.date.available 2019-12-04T01:13:18Z
dc.date.available 2022-07-12T02:35:05Z
dc.date.copyright 2018
dc.date.issued 2018
dc.identifier.uri https://ir.wgtn.ac.nz/handle/123456789/21012
dc.description.abstract Technology is becoming more complex and is increasingly being used in law. Tools to assist in decision making and becoming more complex. It is important to ensure accountability structures keep up with their development so we do not lose control of decision making processes. This paper identifies four types of decision making using algorithms: human decisions, decisions using non-machine learning algorithms, decisions using machine learning algorithms, and decisions where machine learning makes the decision. Issues are identified in applying accountability mechanisms for each, focusing on challenges in pinpointing an actor to hold accountable and forums equipped to ask questions. The use of machine learning is a significant hurdle in being able to choose an actor because these kinds of algorithms are opaque and require significant expertise to comprehend. Users do not necessarily know how the machine works and so cannot provide adequate account for their use. Programmers may have to shoulder some of the accountability burden, however they too may be unable to provide complete answers. Likewise, forums may lack knowledge to ask meaningful questions and lack of transparency on the part of the algorithm. Problems identifying these parties in an accountability context need to be resolved for the future as machine learning algorithms become more common. en_NZ
dc.format pdf en_NZ
dc.language en_NZ
dc.language.iso en_NZ
dc.publisher Te Herenga Waka—Victoria University of Wellington en_NZ
dc.subject Accountability en_NZ
dc.subject Algorithms en_NZ
dc.subject Public law en_NZ
dc.title Man vs Machine: Accountability Mechanisms and New Technology en_NZ
dc.type Text en_NZ
vuwschema.contributor.unit Victoria Law School en_NZ
vuwschema.contributor.unit Faculty of Law / Te Kauhanganui Tātai Ture en_NZ
vuwschema.subject.anzsrcfor 080109 Pattern Recognition and Data Mining en_NZ
vuwschema.subject.anzsrcfor 080201 Analysis of Algorithms and Complexity en_NZ
vuwschema.subject.anzsrcfor 080605 Decision Support and Group Support Systems en_NZ
vuwschema.subject.anzsrcfor 180120 Legal Institutions (incl. Courts and Justice Systems) en_NZ
vuwschema.subject.anzsrcfor 180121 Legal Practice, Lawyering and the Legal Profession en_NZ
vuwschema.subject.anzsrcfor 189999 Law and Legal Studies not elsewhere classified en_NZ
vuwschema.subject.anzsrcseo 970118 Expanding Knowledge in Law and Legal Studies en_NZ
vuwschema.type.vuw Research Paper or Project en_NZ
thesis.degree.discipline Law en_NZ
thesis.degree.name LL.B. (Honours) en_NZ
vuwschema.subject.anzsrcforV2 489999 Other law and legal studies not elsewhere classified en_NZ
vuwschema.contributor.school School of Law en_NZ

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