Ethical framework for Artificial Intelligence and Digital technologies
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In this article , the authors identify 14 digital ethics implications for the use of AI in seven digital technologies (DT) archetypes using a novel ontological framework (physical, cognitive, information, and governance).About:
This article is published in International Journal of Information Management.The article was published on 2022-02-01 and is currently open access. It has received 45 citations till now. The article focuses on the topics: Archetype & Accountability.read more
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Opinion Paper: "So what if ChatGPT wrote it?" Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy
Yogesh K. Dwivedi,Nir Kshetri,Laurie Hughes,Emma L. Slade,Anand Jeyaraj,Arpan Kumar Kar,Abdullah M. Baabdullah,Alex Koohang,Vishnupriya Raghavan,Manju Ahuja,Hanaa Albanna,Mousa Ahmad Albashrawi,Adil Al-Busaidi,Janarthanan Balakrishnan,Yves Barlette,Sriparna Basu,Indranil Bose,Laurence Brooks,Dimitrios Buhalis,Lemuria Carter,Soumyadeb Chowdhury,Tom Crick,Scott W. Cunningham,Gareth Davies,Robert M. Davison,Rahul De,Denis Dennehy,Yanqing Duan,Ram Janam Dubey,Rohita Dwivedi,John G. Edwards,Carlos Flavián,Robin Gauld,Varun Grover,Meixia Hu,Marijn Janssen,Paulette Camp Jones,Iris A. Junglas,Sangeeta Khorana,Sascha Kraus,Kai R. Larsen,Paul L. Latreille,Sven Laumer,F. T. Malik,A Mardani,Marcello M. Mariani,Sunil K. Mithas,Emmanuel Mogaji,Jeretta Horn Nord,Siobhan O'Connor,Fevzi Okumus,Margherita Pagani,Neeraj Pandey,Savvas Papagiannidis,Ilias O. Pappas,Nishith Pathak,Jan Pries-Heje,Ramakrishnan Raman,Nripendra P. Rana,Sven-Volker Rehm,Samuel Ribeiro-Navarrete,Alexander Richter,Frantz Rowe,Suprateek Sarker,Bernd Carsten Stahl,M. K. Tiwari,Wil M. P. van der Aalst,Viswanath Venkatesh,Giampaolo Viglia,Michael Wade,Paul H. Walton,Jochen Wirtz,Ryan Wright +72 more
TL;DR: In this article , the authors bring together 43 contributions from experts in fields such as computer science, marketing, information systems, education, policy, hospitality and tourism, management, publishing, and nursing to identify questions requiring further research across three thematic areas: knowledge, transparency, and ethics; digital transformation of organisations and societies; and teaching, learning, and scholarly research.
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Responsible innovation ecosystems: Ethical implications of the application of the ecosystem concept to artificial intelligence
TL;DR: In this paper , the authors apply RRI to the innovation ecosystems discourse and propose the concept of responsible innovation systems, drawing on the discussion of the ethics of artificial intelligence to explore how responsible AI innovation ecosystems can be shaped and realised.
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Responsible innovation ecosystems: Ethical implications of the application of the ecosystem concept to artificial intelligence
TL;DR: In this article, the authors apply RRI to the innovation ecosystems discourse and propose the concept of responsible innovation systems, drawing on the discussion of the ethics of artificial intelligence to explore how responsible AI innovation ecosystems can be shaped and realised.
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Assessing behavioral data science privacy issues in government artificial intelligence deployment
TL;DR: In this paper , the authors conducted a systematic review of the literature, conducted in-depth interviews, and applied data-mining techniques to identify the main uses that governments make of AI and to define citizens' concerns about their privacy.
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Algorithmic bias in machine learning-based marketing models
TL;DR: In this article , the authors present a framework to identify the sources of algorithmic bias in machine learning-based marketing models, drawing on the microfoundations of dynamic capability, using a systematic literature review and in-depth interviews of ML professionals.
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