AI Management An Exploratory Survey of the Influence of GDPR and FAT Principles

Addis, MC; Kutar, Maria

Abstract

As organisations increasingly adopt AI technologies, a number of ethical issues arise. Much research focuses on algorithmic bias, but there are other important concerns arising from the new uses of data and the introduction of technologies which may impact individuals. This paper examines the interplay between AI, Data Protection and FAT (Fairness, Accountability and Transparency) principles. We review the potential impact of the GDPR and consider the importance of the management of AI adoption. A survey of data protection experts is presented, the initial analysis of which provides some early insights into the praxis of AI in operational contexts. The findings indicate that organisations are not fully compliant with the GDPR, and that there is limited understanding of the relevance of FAT principles as AI is introduced. Those organisations which demonstrate greater GDPR compliance are likely to take a more cautious, risk-based approach to the introduction of AI.

• Presentation Conference Type: Other
• Conference Name: 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation
• End Date: Aug 23, 2019
• Publication Date: 2019-08
• Deposit Date: May 1, 2020
• Publicly Available Date: May 1, 2020
• Journal: 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/S
• Book Title: 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)
• ISBN: 9781728140346-(online)
• DOI: https://doi.org/10.1109/smartworld-uic-atc-scalcom-iop-sci.2019.00102
• Publisher URL: https://doi.org/10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00102
• Related Public URLs: https://doi.org/10.1109/SmartWorld/SCALCOM/U46104.2019
• Additional Information: Event Type : Conference; Projects : Pathway to Excellence Research Studentship