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AI3SD AI4Good Workshop @ WebSci'20 Report 2020

AI3SD AI4Good Workshop @ WebSci'20 Report 2020
AI3SD AI4Good Workshop @ WebSci'20 Report 2020
We are living through an AI and data revolution. Artificial and augmented intelligence systems are already being used in the scientific discovery domain and have the potential to make a groundbreaking impact. However, using AI in this way comes with a wealth of ethical and societal considerations, from algorithmic bias to explainability and privacy concerns. Ethical frameworks covering many of these issues abound but are they enough? Tensions, trade-offs and transparency in AI were the themes running through the AI3SD Network+’s all-day workshop, part of the ACM Web Science 2020 conference. In a vibrant example of the interdisciplinary approach that is essential to addressing these big challenges, philosophers, computer and material scientists, sociologists, ethicists and many more gathered to explore the topic. Four presentations set out some of the key issues. Participants then tackled the ethical dimensions of a very current real-life application, using data from a Covid-19 contact tracing app for scientific research, in an interactive session using Moral IT cards. Due to the Covid-19 situation, the entire workshop was conducted via Zoom.
AI3SD, Artificial Intelligence, AI, Ethics, Accountability, Responsibility, Transparency, Morality
18
University of Southampton
Pauli, Michelle
ba2e52e9-984d-47c6-b32b-c6ff10db9542
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Pauli, Michelle
ba2e52e9-984d-47c6-b32b-c6ff10db9542

Pauli, Michelle , Kanza, Samantha and Frey, Jeremy G. (eds.) (2020) AI3SD AI4Good Workshop @ WebSci'20 Report 2020 (AI3SD-Event-Series, , (doi:10.5258/SOTON/P0026), 18) University of Southampton 11pp.

Record type: Monograph (Project Report)

Abstract

We are living through an AI and data revolution. Artificial and augmented intelligence systems are already being used in the scientific discovery domain and have the potential to make a groundbreaking impact. However, using AI in this way comes with a wealth of ethical and societal considerations, from algorithmic bias to explainability and privacy concerns. Ethical frameworks covering many of these issues abound but are they enough? Tensions, trade-offs and transparency in AI were the themes running through the AI3SD Network+’s all-day workshop, part of the ACM Web Science 2020 conference. In a vibrant example of the interdisciplinary approach that is essential to addressing these big challenges, philosophers, computer and material scientists, sociologists, ethicists and many more gathered to explore the topic. Four presentations set out some of the key issues. Participants then tackled the ethical dimensions of a very current real-life application, using data from a Covid-19 contact tracing app for scientific research, in an interactive session using Moral IT cards. Due to the Covid-19 situation, the entire workshop was conducted via Zoom.

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AI3SD-Event-Series_Report-18-AI4GoodAtWebSci20Report - Version of Record
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Published date: 21 July 2020
Keywords: AI3SD, Artificial Intelligence, AI, Ethics, Accountability, Responsibility, Transparency, Morality

Identifiers

Local EPrints ID: 442678
URI: http://eprints.soton.ac.uk/id/eprint/442678
PURE UUID: 8f7e1bb2-0503-421a-b706-2bfbe1e66913
ORCID for Samantha Kanza: ORCID iD orcid.org/0000-0002-4831-9489
ORCID for Jeremy G. Frey: ORCID iD orcid.org/0000-0003-0842-4302

Catalogue record

Date deposited: 23 Jul 2020 16:30
Last modified: 07 Oct 2020 02:21

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