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The dark sides of AI

The dark sides of AI
The dark sides of AI
This preface introduces the special issue on The Dark Sides of AI. The special issue offers six papers that focus on challenges of AI technology. In the twenty-first century, artificial intelligence (AI) is an extremely disruptive innovation that has attracted considerable attention from practitioners and academics. AI provides extensive, and unprecedented, opportunities for fundamental changes and extensive upgrades across many industries. This disruptive technology makes incredible things possible, such as autonomous vehicles, facial recognition payment, guidance robots, etc.
AI
1019-6781
11-15
Cheng, Xusen
f88a8aee-cd1d-46f7-8169-8448252003df
Lin, Xiao
f1e95a9e-1002-45ab-bb4e-047c1f6cc6a7
Shen, Xiao‑Liang
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Zarifis, Alex
7622e840-ba78-4a4f-879b-6ba0f62363cc
Mou, Jian
17bccb30-51c7-4597-95eb-813c52cc8491
Cheng, Xusen
f88a8aee-cd1d-46f7-8169-8448252003df
Lin, Xiao
f1e95a9e-1002-45ab-bb4e-047c1f6cc6a7
Shen, Xiao‑Liang
79b969c3-ec7f-421a-8509-8b47907a5b22
Zarifis, Alex
7622e840-ba78-4a4f-879b-6ba0f62363cc
Mou, Jian
17bccb30-51c7-4597-95eb-813c52cc8491

Cheng, Xusen, Lin, Xiao, Shen, Xiao‑Liang, Zarifis, Alex and Mou, Jian (2022) The dark sides of AI. Electronic Markets, 32, 11-15. (doi:10.1007/s12525-022-00531-5).

Record type: Article

Abstract

This preface introduces the special issue on The Dark Sides of AI. The special issue offers six papers that focus on challenges of AI technology. In the twenty-first century, artificial intelligence (AI) is an extremely disruptive innovation that has attracted considerable attention from practitioners and academics. AI provides extensive, and unprecedented, opportunities for fundamental changes and extensive upgrades across many industries. This disruptive technology makes incredible things possible, such as autonomous vehicles, facial recognition payment, guidance robots, etc.

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Published date: 22 February 2022
Keywords: AI

Identifiers

Local EPrints ID: 490371
URI: http://eprints.soton.ac.uk/id/eprint/490371
ISSN: 1019-6781
PURE UUID: cffc28f7-e239-4903-a993-945914806cd6
ORCID for Alex Zarifis: ORCID iD orcid.org/0000-0003-3103-4601

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Date deposited: 23 May 2024 17:38
Last modified: 06 Jun 2024 02:21

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Contributors

Author: Xusen Cheng
Author: Xiao Lin
Author: Xiao‑Liang Shen
Author: Alex Zarifis ORCID iD
Author: Jian Mou

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