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AI: Coming of age?

AI: Coming of age?
AI: Coming of age?

AI has had many summers and winters. Proponents have overpromised, and there has been hype and disappointment. In recent years, however, we have watched with awe, surprise, and hope at the successes: Better than human capabilities of image-recognition; winning at Go; useful chatbots that seem to understand your needs; recommendation algorithms harvesting the wisdom of crowds. And with this success comes the spectre of danger. Machine behaviours that embed the worst of human prejudice and biases; techniques trying to exploit human weaknesses to skew elections or prompt self-harming behaviours.

AI, Artificial Intelligence, Ethics, Explainability, Privacy
1748-4995
1-5
Maynard, Trevor
525ef105-5005-4e54-945e-e135b79493bd
Baldassarre, Luca
8015a283-85a4-40b3-abbe-ab058377d039
De Montjoye, Yves Alexandre
39b96fd0-9f59-4ee1-b1c1-e060deed8d4c
McFall, Liz
d87bfb87-b4f6-4301-9abb-7bd365646543
Óskarsdóttir, María
d159ed8f-9dd3-4ff3-8b00-d43579ab71be
Maynard, Trevor
525ef105-5005-4e54-945e-e135b79493bd
Baldassarre, Luca
8015a283-85a4-40b3-abbe-ab058377d039
De Montjoye, Yves Alexandre
39b96fd0-9f59-4ee1-b1c1-e060deed8d4c
McFall, Liz
d87bfb87-b4f6-4301-9abb-7bd365646543
Óskarsdóttir, María
d159ed8f-9dd3-4ff3-8b00-d43579ab71be

Maynard, Trevor, Baldassarre, Luca, De Montjoye, Yves Alexandre, McFall, Liz and Óskarsdóttir, María (2022) AI: Coming of age? Annals of Actuarial Science, 16 (1), 1-5. (doi:10.1017/S1748499521000245).

Record type: Review

Abstract

AI has had many summers and winters. Proponents have overpromised, and there has been hype and disappointment. In recent years, however, we have watched with awe, surprise, and hope at the successes: Better than human capabilities of image-recognition; winning at Go; useful chatbots that seem to understand your needs; recommendation algorithms harvesting the wisdom of crowds. And with this success comes the spectre of danger. Machine behaviours that embed the worst of human prejudice and biases; techniques trying to exploit human weaknesses to skew elections or prompt self-harming behaviours.

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More information

Published date: 19 March 2022
Additional Information: Publisher Copyright: Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of Millennium Economics Ltd..
Keywords: AI, Artificial Intelligence, Ethics, Explainability, Privacy

Identifiers

Local EPrints ID: 507835
URI: http://eprints.soton.ac.uk/id/eprint/507835
ISSN: 1748-4995
PURE UUID: 582f6962-ac40-4f91-86fb-905e42eed00b
ORCID for María Óskarsdóttir: ORCID iD orcid.org/0000-0001-5095-5356

Catalogue record

Date deposited: 06 Jan 2026 18:03
Last modified: 08 Jan 2026 03:27

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Contributors

Author: Trevor Maynard
Author: Luca Baldassarre
Author: Yves Alexandre De Montjoye
Author: Liz McFall
Author: María Óskarsdóttir ORCID iD

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