Reframing AI discourse

Deborah Johnson; Mario Verdicchio

doi:10.1007/s11023-017-9417-6

Reframing AI discourse

Deborah Johnson, Mario Verdicchio

Research output: Contribution to journal › Article › peer-review

61 Citations (Scopus)

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Abstract

A critically important ethical issue facing the AI research community is how AI research and AI products can be responsibly conceptualised and presented to the public. A good deal of fear and concern about uncontrollable AI is now being displayed in public discourse. Public understanding of AI is being shaped in a way that may ultimately impede AI research. The public discourse as well as discourse among AI researchers leads to at least two problems: a confusion about the notion of ‘autonomy’ that induces people to attribute to machines something comparable to human autonomy, and a ‘sociotechnical blindness’ that hides the essential role played by humans at every stage of the design and deployment of an AI system. Here our purpose is to develop and use a language with the aim to reframe the discourse in AI and shed light on the real issues in the discipline.

Original language	English
Pages (from-to)	575–590
Number of pages	16
Journal	Minds and Machines
Volume	27
Issue number	4
Early online date	9 Jan 2017
DOIs	https://doi.org/10.1007/s11023-017-9417-6
Publication status	Published - Dec 2017

Keywords

Artificial Intelligence
Socio-technical Systems
Philosophy of Technology

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10.1007/s11023-017-9417-6

2017 01 04 Johnson et al Reframing acceptedAccepted author manuscript, 505 KBLicence: CC BY-NC-ND

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AB - A critically important ethical issue facing the AI research community is how AI research and AI products can be responsibly conceptualised and presented to the public. A good deal of fear and concern about uncontrollable AI is now being displayed in public discourse. Public understanding of AI is being shaped in a way that may ultimately impede AI research. The public discourse as well as discourse among AI researchers leads to at least two problems: a confusion about the notion of ‘autonomy’ that induces people to attribute to machines something comparable to human autonomy, and a ‘sociotechnical blindness’ that hides the essential role played by humans at every stage of the design and deployment of an AI system. Here our purpose is to develop and use a language with the aim to reframe the discourse in AI and shed light on the real issues in the discipline.

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Reframing AI discourse

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Keywords

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