Organisational Adoption of Open and Responsible AI: Meta Case Study from The Turing Way Practitioners Hub Cohort 1
This is the meta case study for The Turing Way Practitioners Hub's Cohort 1 - Case Study Series published online under the CC-CY 4.0 license. The Practitioners Hub is a The Turing Way project that works with experts from partnering organisations to promote data science best practices. For more...
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ftzenodo:oai:zenodo.org:11930941 2024-09-15T17:42:10+00:00 Organisational Adoption of Open and Responsible AI: Meta Case Study from The Turing Way Practitioners Hub Cohort 1 Sharan, Malvika Gillespie, Stuart Smyrnakis, Michalis Morris, Claire Guernion, Nicolas Matser, Vera Whitaker, Kirstie Araujo Alvarez, Alexandra Bennett, Arielle Laher, Shakir Jarvis, Jimmy Haben, Stephen Roberts, Damon Young, Samuel Tang, Wenjia Banner, Natalie Hemsi, Rowan Bowen, Ross S., Dan Stephenson, Lucy 2024-03-06 https://doi.org/10.5281/zenodo.11930941 unknown Zenodo https://zenodo.org/communities/the-turing-way-practitioners https://zenodo.org/communities/the-turing-way https://doi.org/10.5281/zenodo.10777729 https://doi.org/10.5281/zenodo.11930941 oai:zenodo.org:11930941 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode info:eu-repo/semantics/report 2024 ftzenodo https://doi.org/10.5281/zenodo.1193094110.5281/zenodo.10777729 2024-07-25T21:33:35Z This is the meta case study for The Turing Way Practitioners Hub's Cohort 1 - Case Study Series published online under the CC-CY 4.0 license. The Practitioners Hub is a The Turing Way project that works with experts from partnering organisations to promote data science best practices. For more information about the Practitioners Hub, please visit our website: https://www.turing.ac.uk/turing-way-practitioners-hub . This meta-case study, drawing key lessons from five case studies published by the first cohort of EiRs. This case study provides an overview of common understanding, challenges, successful examples, and trends related to best practices, specifically in open source, open data, and collaboration across different sectors. This work is supported by Innovate UK BridgeAI. Case Study Series from cohort-1 (2023) shared under CC-BY 4.0 International License: Organisational Adoption of Open and Responsible AI: A Case Study from The Turing Way Practi- tioners Hub. Zenodo, 2024, https://doi.org/10.5281/zenodo.10777730 - META CASE STUDY The power of collaboration: creating maximum value from open source energy projects. Zenodo, 2023, https://zenodo.org/records/10338376 AI in transportation: DigiHaul’s vision for decarbonizing the UK’s road network. Zenodo, 2023, https://zenodo.org/records/10338551 Genomics England and The Turing Way: a path to open science in a sensitive data landscape. Zenodo, 2023, https://zenodo.org/records/10338456 Meet the ONS open sourcers: promoting practices for working in the open. Zenodo, 2023, https: //zenodo.org/records/10338293 Exploring the intersection of data science and open practices at British Antarctic Survey. Zenodo, 2023, https://zenodo.org/records/10337801 The Practitioners Hub has also received funding and support from the Ecosystem Leadership Award under the EPSRC Grant EP/X03870X/1 and The Alan Turing Institute. The inaugural cohort of The Turing Way Practitioners Hub has been designed and led by Dr Malvika Sharan. The Research Project Manager is Alexandra Araujo Alvarez. ... Report Antarc* Antarctic British Antarctic Survey Zenodo |
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This is the meta case study for The Turing Way Practitioners Hub's Cohort 1 - Case Study Series published online under the CC-CY 4.0 license. The Practitioners Hub is a The Turing Way project that works with experts from partnering organisations to promote data science best practices. For more information about the Practitioners Hub, please visit our website: https://www.turing.ac.uk/turing-way-practitioners-hub . This meta-case study, drawing key lessons from five case studies published by the first cohort of EiRs. This case study provides an overview of common understanding, challenges, successful examples, and trends related to best practices, specifically in open source, open data, and collaboration across different sectors. This work is supported by Innovate UK BridgeAI. Case Study Series from cohort-1 (2023) shared under CC-BY 4.0 International License: Organisational Adoption of Open and Responsible AI: A Case Study from The Turing Way Practi- tioners Hub. Zenodo, 2024, https://doi.org/10.5281/zenodo.10777730 - META CASE STUDY The power of collaboration: creating maximum value from open source energy projects. Zenodo, 2023, https://zenodo.org/records/10338376 AI in transportation: DigiHaul’s vision for decarbonizing the UK’s road network. Zenodo, 2023, https://zenodo.org/records/10338551 Genomics England and The Turing Way: a path to open science in a sensitive data landscape. Zenodo, 2023, https://zenodo.org/records/10338456 Meet the ONS open sourcers: promoting practices for working in the open. Zenodo, 2023, https: //zenodo.org/records/10338293 Exploring the intersection of data science and open practices at British Antarctic Survey. Zenodo, 2023, https://zenodo.org/records/10337801 The Practitioners Hub has also received funding and support from the Ecosystem Leadership Award under the EPSRC Grant EP/X03870X/1 and The Alan Turing Institute. The inaugural cohort of The Turing Way Practitioners Hub has been designed and led by Dr Malvika Sharan. The Research Project Manager is Alexandra Araujo Alvarez. ... |
author2 |
Smyrnakis, Michalis Morris, Claire Guernion, Nicolas Matser, Vera Whitaker, Kirstie Araujo Alvarez, Alexandra Bennett, Arielle Laher, Shakir Jarvis, Jimmy Haben, Stephen Roberts, Damon Young, Samuel Tang, Wenjia Banner, Natalie Hemsi, Rowan Bowen, Ross S., Dan Stephenson, Lucy |
format |
Report |
author |
Sharan, Malvika Gillespie, Stuart |
spellingShingle |
Sharan, Malvika Gillespie, Stuart Organisational Adoption of Open and Responsible AI: Meta Case Study from The Turing Way Practitioners Hub Cohort 1 |
author_facet |
Sharan, Malvika Gillespie, Stuart |
author_sort |
Sharan, Malvika |
title |
Organisational Adoption of Open and Responsible AI: Meta Case Study from The Turing Way Practitioners Hub Cohort 1 |
title_short |
Organisational Adoption of Open and Responsible AI: Meta Case Study from The Turing Way Practitioners Hub Cohort 1 |
title_full |
Organisational Adoption of Open and Responsible AI: Meta Case Study from The Turing Way Practitioners Hub Cohort 1 |
title_fullStr |
Organisational Adoption of Open and Responsible AI: Meta Case Study from The Turing Way Practitioners Hub Cohort 1 |
title_full_unstemmed |
Organisational Adoption of Open and Responsible AI: Meta Case Study from The Turing Way Practitioners Hub Cohort 1 |
title_sort |
organisational adoption of open and responsible ai: meta case study from the turing way practitioners hub cohort 1 |
publisher |
Zenodo |
publishDate |
2024 |
url |
https://doi.org/10.5281/zenodo.11930941 |
genre |
Antarc* Antarctic British Antarctic Survey |
genre_facet |
Antarc* Antarctic British Antarctic Survey |
op_relation |
https://zenodo.org/communities/the-turing-way-practitioners https://zenodo.org/communities/the-turing-way https://doi.org/10.5281/zenodo.10777729 https://doi.org/10.5281/zenodo.11930941 oai:zenodo.org:11930941 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.1193094110.5281/zenodo.10777729 |
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1810488620216221696 |