Ethical AI cannot be fostered in a vacuum: why AI ethics research needs industry involvement

This paper argues that ethical AI cannot be fostered in a vacuum, challenging the perspective that AI ethics research should be isolated from technological advancements and industry collaborations. It refutes the argument presented by Gerdes (Discov Artif Intell. 2022;2(25)), which suggests that industry involvement inherently undermines the integrity of AI ethics research. Through an exploration of historical and contemporary examples of successful academia-industry collaborations, the paper advocates for a synergistic approach that harnesses industry resources and insights to advance ethical AI development. Emphasising the importance of diverse funding, the value of industry insights, and the impracticality of separating AI ethics from computer science, the paper contends that a collaborative, transparent, and inclusive model of AI ethics research is essential for developing practical, relevant, and ethically sound AI technologies aligned with societal values and norms.

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Publication Details

Journal
Discover Artificial Intelligence
Published
2024-11-04
DOI
https://doi.org/10.1007/s44163-024-00182-9
Citations
4
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
2.10
Controls
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article

Ethical AI cannot be fostered in a vacuum: why AI ethics research needs industry involvement

Ahmet Küçükuncular
4 citations
Discover Artificial Intelligence
Ethics and Social Impacts of AI
2.10
article

Ethical AI cannot be fostered in a vacuum: why AI ethics research needs industry involvement

Ahmet Küçükuncular
article en
4 citations

Abstract

This paper argues that ethical AI cannot be fostered in a vacuum, challenging the perspective that AI ethics research should be isolated from technological advancements and industry collaborations. It refutes the argument presented by Gerdes (Discov Artif Intell. 2022;2(25)), which suggests that industry involvement inherently undermines the integrity of AI ethics research. Through an exploration of historical and contemporary examples of successful academia-industry collaborations, the paper advocates for a synergistic approach that harnesses industry resources and insights to advance ethical AI development. Emphasising the importance of diverse funding, the value of industry insights, and the impracticality of separating AI ethics from computer science, the paper contends that a collaborative, transparent, and inclusive model of AI ethics research is essential for developing practical, relevant, and ethically sound AI technologies aligned with societal values and norms.

Discover Artificial IntelligenceVol. 4(1)
Near East University (CY)
Openalex Percentile: Top 11%
Ethics and Social Impacts of AI
2.10
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