The global artificial intelligence transformation: Opportunities for engagement and research-Reference-Cited by-同舟云学术

The global artificial intelligence transformation: Opportunities for engagement and research

Published:2022-09 Issue:3 Volume:33 Page:217-221
ISSN:1044-8004
Container-title:Human Resource Development Quarterly
language:en
Short-container-title:Human Resource Dev Quarterly

Author:

Akdere Mesut¹^ORCID,Egan Toby²,Kim Sewon³^ORCID

Affiliation:

1. Purdue Polytechnic Institute Purdue University West Lafayette Indiana USA

2. School of Public Policy and Robert H. Smith School of Business University of Maryland College Park Maryland USA

3. Faculty of Business, Management, and Leadership, School for Graduate Studies, Empire State College State University of New York (SUNY) Saratoga Springs New York USA

Publisher

Wiley

Subject

Organizational Behavior and Human Resource Management,Arts and Humanities (miscellaneous)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/hrdq.21487

Reference15 articles.

1. Brazil Ministry of Science Technology and Innovations. (2021).The Brazilian Artificial Intelligence Strategy. Retrieved fromhttps://www.gov.br/mcti/pt‐br/acompanhe‐o‐mcti/transformacaodigital/arquivosinteligenciaartificial/ebia‐summary_brazilian_4‐979_2021.pdf.

2. China Ministry of Science and Technology. (2019).Governance Principles for a New Generation of Artificial Intelligence. Retrieved fromhttps://perma.cc/V9FL‐H6J7.

3. EU Parliament. (2019).EU Guidelines on Ethics in Artificial Intelligence. Retrieved fromhttps://www.europarl.europa.eu/RegData/etudes/BRIE/2019/640163/EPRS_BRI(2019)640163_EN.pdf.

4. Facebook. (2021).Facebook's Five Pillars of Responsible AI. Retrieved fromhttps://ai.facebook.com/blog/facebooks‐five‐pillars‐of‐responsible‐ai/.

5. G20 4. (2019).G20 AI Principles. Retrieved fromhttps://www.g20‐insights.org/wp‐content/uploads/2019/07/G20‐Japan‐AI‐Principles.pdf.

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