Toggle Main Menu Toggle Search

Open Access padlockePrints

Keeping it Human: A Focus Group Study of Public Attitudes Towards AI in Banking

Lookup NU author(s): Gladys -, Dr Magdalene Ng, Dr Ehsan Toreini, Professor Aad van Moorsel, Dr Kovila Coopamootoo, Professor Karen ElliottORCiD



This is the authors' accepted manuscript of an article that has been published in its final definitive form by Springer, 2020.

For re-use rights please refer to the publisher's terms and conditions.


While there is substantial interest in ethical practice relating to Artificial Intelligence (AI), to date there has been limited consideration of what this means in the banking sector. This study aimed to address this gap in the literature through a qualitative study of public attitudes and perceptions of current and potential future uses of AI in banking. A series of focus groups were conducted with diverse members of the public. Focus group participants were largely positive about the role of AI in speeding up financial processes and increasing efficiency. Yet, they also expressed a number of concerns around potential negative impacts on society and consistently emphasized the importance of human judgement or oversight. The findings suggest a potential cognitive dissonance where people use new services due to perceived convenience or immediate benefits, while disliking or distrusting those services or holding concerns about their impacts on society. The findings illustrate that participants’ concerns did not typically relate to private or individual interests but more often to wider ethical and social concerns. The focus groups demonstrated the value of qualitative, deliberative methods to explore the nuances of public responses and highlighted the importance of taking account of conditions for public acceptability - rather than just customer uptake - in order to develop ethical practice and establish a social licence for uses of AI in banking.

Publication metadata

Author(s): Aitken M, Ng M, Toreini E, van Moorsel A, Coopamootoo KPL, Elliott K

Publication type: Article

Publication status: Published

Journal: Computer Security. ESORICS

Year: 2020

Volume: Lecture Notes in Computer Science, vol 12580

Pages: 21-38

Print publication date: 24/12/2020

Online publication date: 24/12/2020

Acceptance date: 24/09/2020

Date deposited: 02/02/2021

Publisher: Springer


DOI: 10.1007/978-3-030-66504-3_2


Altmetrics provided by Altmetric