TY - JOUR
T1 - Research and Practice of AI Ethics
T2 - A Case Study Approach Juxtaposing Academic Discourse with Organisational Reality
AU - Ryan, Mark
AU - Antoniou, Josephina
AU - Brooks, Laurence
AU - Jiya, Tilimbe
AU - Macnish, Kevin
AU - Stahl, Bernd
PY - 2021/3/8
Y1 - 2021/3/8
N2 - This study investigates the ethical use of Big Data and Artificial Intelligence (AI) technologies (BD + AI)—using an empirical approach. The paper categorises the current literature and presents a multi-case study of 'on-the-ground' ethical issues that uses qualitative tools to analyse findings from ten targeted case-studies from a range of domains. The analysis coalesces identified singular ethical issues, (from the literature), into clusters to offer a comparison with the proposed classification in the literature. The results show that despite the variety of different social domains, fields, and applications of AI, there is overlap and correlation between the organisations’ ethical concerns. This more detailed understanding of ethics in AI + BD is required to ensure that the multitude of suggested ways of addressing them can be targeted and succeed in mitigating the pertinent ethical issues that are often discussed in the literature.
AB - This study investigates the ethical use of Big Data and Artificial Intelligence (AI) technologies (BD + AI)—using an empirical approach. The paper categorises the current literature and presents a multi-case study of 'on-the-ground' ethical issues that uses qualitative tools to analyse findings from ten targeted case-studies from a range of domains. The analysis coalesces identified singular ethical issues, (from the literature), into clusters to offer a comparison with the proposed classification in the literature. The results show that despite the variety of different social domains, fields, and applications of AI, there is overlap and correlation between the organisations’ ethical concerns. This more detailed understanding of ethics in AI + BD is required to ensure that the multitude of suggested ways of addressing them can be targeted and succeed in mitigating the pertinent ethical issues that are often discussed in the literature.
KW - Artificial intelligence ethics
KW - Big data analytics
KW - Multiple-case study analysis
KW - Philosophy of technology
KW - Smart information systems
U2 - 10.1007/s11948-021-00293-x
DO - 10.1007/s11948-021-00293-x
M3 - Article
AN - SCOPUS:85102194949
SN - 1353-3452
VL - 27
JO - Science and Engineering Ethics
JF - Science and Engineering Ethics
IS - 2
M1 - 16
ER -