Weapons of math destruction
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This article is published in Journal of Responsible Innovation.The article was published on 2018-08-01 and is currently open access. It has received 293 citations till now.read more
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Artificial Intelligence (AI) : Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy
Yogesh K. Dwivedi,Laurie Hughes,Elvira Ismagilova,Gert Aarts,Crispin Coombs,Tom Crick,Yanqing Duan,Rohita Dwivedi,John S. Edwards,Aled Eirug,Vassilis Galanos,P. Vigneswara Ilavarasan,Marijn Janssen,Paul Jones,Arpan Kumar Kar,Hatice Kizgin,Bianca Kronemann,Banita Lal,Biagio Lucini,Rony Medaglia,Kenneth Le Meunier-FitzHugh,Leslie Caroline Le Meunier-FitzHugh,Santosh K. Misra,Emmanuel Mogaji,Sujeet Kumar Sharma,Jang Bahadur Singh,Vishnupriya Raghavan,Ramakrishnan Raman,Nripendra P. Rana,Spyridon Samothrakis,Jak Spencer,Kuttimani Tamilmani,Annie Tubadji,Paul Walton,Michael D. Williams +34 more
TL;DR: This research offers significant and timely insight to AI technology and its impact on the future of industry and society in general, whilst recognising the societal and industrial influence on pace and direction of AI development.
Journal ArticleDOI
Postdigital science and education
TL;DR: We are increasingly no longer in a world where digital technology and media is separate, virtual, "other" to a "natural" human and social life as discussed by the authors, and this has inspired the emergence of a new concept called ''the...
Journal ArticleDOI
Task-Dependent Algorithm Aversion:
TL;DR: It is shown that perceived task objectivity is malleable and that increasing a task’s perceived objectivity increases trust in and use of algorithms for that task, and increasing algorithms’ perceived affective human-likeness is effective at increasing the use of algorithm for subjective tasks.
Proceedings ArticleDOI
Co-Designing Checklists to Understand Organizational Challenges and Opportunities around Fairness in AI
TL;DR: It is found that AI fairness checklists could provide organizational infrastructure for formalizing ad-hoc processes and empowering individual advocates, and highlight aspects of organizational culture that may impact the efficacy of AI fairnessChecklists.
Journal ArticleDOI
Algorithmic governance: Developing a research agenda through the power of collective intelligence:
John Danaher,Michael Hogan,Chris Noone,Rónán Kennedy,Anthony Behan,Aisling de Paor,Heike Felzmann,Muki Haklay,Su-ming Khoo,John Morison,Maria Helen Murphy,Niall O'Brolchain,Burkhard Schafer,Kalpana Shankar +13 more
TL;DR: The workshop brought together a multidisciplinary group of scholars to consider barriers to legitimate and effective algorithmic governance and the research methods needed to address the nature and impact of specific barriers, and produced a framework and research agenda for those who are concerned aboutgorithmic governance.