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AI3SD Video: Practical Ethics for Data Science and Algorithm Design

AI3SD Video: Practical Ethics for Data Science and Algorithm Design
AI3SD Video: Practical Ethics for Data Science and Algorithm Design
‘Ethics’ is widely considered to be fuzzy, vague and an oft moving target. In this talk we will not discuss the dead white men who have debated the nature of ethics down the centuries (here’s looking at you, Kant). We will instead take the lack of consensus as given and explore instead what concrete measures may be pursued as valid proxies for ethical behavior in the fields of data science, machine learning and AI.
AI3SD Event, Data Access, Data Decision Making, Data Governance, Data Legislation, Data Sharing, Datasets, Research Data Management, Responsible Research
Darbyshire, Tessa
264cdd87-368f-4034-82c8-120c43625497
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Hooper, Victoria
af1a99f1-7848-4d5c-a4b5-615888838d84
Knight, Nicola
fbc21e18-095e-4c1a-a4bf-6277debf5c4b
Darbyshire, Tessa
264cdd87-368f-4034-82c8-120c43625497
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Hooper, Victoria
af1a99f1-7848-4d5c-a4b5-615888838d84
Knight, Nicola
fbc21e18-095e-4c1a-a4bf-6277debf5c4b

Darbyshire, Tessa (2020) AI3SD Video: Practical Ethics for Data Science and Algorithm Design. Kanza, Samantha, Frey, Jeremy G., Hooper, Victoria and Knight, Nicola (eds.) AI3SD, PSDS & Patterns Failed it to Nailed it: Getting Data Sharing Right Seminar Series 2020, Online, Southampton, United Kingdom. 22 Oct - 03 Dec 2020. (doi:10.5258/SOTON/P0061).

Record type: Conference or Workshop Item (Other)

Abstract

‘Ethics’ is widely considered to be fuzzy, vague and an oft moving target. In this talk we will not discuss the dead white men who have debated the nature of ethics down the centuries (here’s looking at you, Kant). We will instead take the lack of consensus as given and explore instead what concrete measures may be pursued as valid proxies for ethical behavior in the fields of data science, machine learning and AI.

Video
FI2NI-Event3-Talk3-TessaDarbyshire-191120 - Version of Record
Available under License Creative Commons Attribution.
Download (410MB)

More information

Published date: 19 November 2020
Additional Information: Tessa has a philosophy background, and her academic work, within a global group, focuses on the computer/human interface, particularly in relation to explainability, interpretability, and trust. She has expertise across the fields of technical validity, privacy legislation, and ethical practice, particularly in relation to the human impact of data. She is particularly fond of papers with an arboreal bent, as reading them goes some of the way to make up for living in the Big Smoke.
Venue - Dates: AI3SD, PSDS & Patterns Failed it to Nailed it: Getting Data Sharing Right Seminar Series 2020, Online, Southampton, United Kingdom, 2020-10-22 - 2020-12-03
Keywords: AI3SD Event, Data Access, Data Decision Making, Data Governance, Data Legislation, Data Sharing, Datasets, Research Data Management, Responsible Research

Identifiers

Local EPrints ID: 447092
URI: http://eprints.soton.ac.uk/id/eprint/447092
PURE UUID: 7f24bd07-196a-40b9-ab9c-0aee5d3298f2
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
ORCID for Nicola Knight: ORCID iD orcid.org/0000-0001-8286-3835

Catalogue record

Date deposited: 03 Mar 2021 17:30
Last modified: 25 Aug 2021 01:57

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Contributors

Author: Tessa Darbyshire
Editor: Samantha Kanza ORCID iD
Editor: Jeremy G. Frey ORCID iD
Editor: Victoria Hooper
Editor: Nicola Knight ORCID iD

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