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Community Power in AI

Authors: Tennison, Jeni;

Community Power in AI

Abstract

Giving the people affected by AI power over how it works is vital to ensure it is effective and ethical, as well as to maintain a good relationship with customers and citizens. In this talk, Jeni will explore why public participation and civil society engagement are vital for organisations looking to adopt AI, and how to go about it.

The attached files include the slides and recording of this paper and an edited transcript. The transcript can be viewed using a text editor such as Notepad or used for subtitles. Part of the session on Empowering communities through equity, inclusivity, and ethics.

Open and Engaged 2024: Empowering Communities to Thrive in Open Scholarship

London, UK

Keywords

artificial intelligence

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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