This repository contains the code and documentation for the Trustworthy and Ethical Assurance (TEA) platform—an application for building trustworthy and ethical assurance cases, developed by researchers at the Alan Turing Institute and University of York.
The UK's Responsible Technology Adoption Unit (Department of Science, Innovation, and Technology) is also a project partner.
If you'd like to just use the TEA platform, and have some familiarity with building assurance cases already, please go to https://assuranceplatform.azurewebsites.net/.
Warning
The TEA platform is made available as a research preview, and should not be used for any business critical tasks. Future breaking changes should be expected.
If you are not sure what an assurance case is, or need some help using the platform, please view our documentation site at https://alan-turing-institute.github.io/AssurancePlatform.
The TEA application can be run locally or deployed on your own server or a cloud-based service (e.g. Azure). You can find the instructions on how to do this here: https://alan-turing-institute.github.io/AssurancePlatform/technical-documentation/local-quickstart/
The following resources provide additional information about the Trustworthy and Ethical Assurance framework and methodology:
- Burr, C., Arana, S., Gould Van Praag, C., Habli, I., Kaas, M., Katell, M., Laher, S., Leslie, D., Niederer, S., Ozturk, B., Polo, N., Porter, Z., Ryan, P., Sharan, M., Solis Lemus, J. A., Strocchi, M., Westerling, K., (2024) Trustworthy and Ethical Assurance of Digital Health and Healthcare. https://doi.org/10.5281/zenodo.10532573
- Porter, Z., Habli, I., McDermid, J. et al. A principles-based ethics assurance argument pattern for AI and autonomous systems. AI Ethics 4, 593–616 (2024). https://doi.org/10.1007/s43681-023-00297-2
- Burr, C. and Powell, R., (2022) Trustworthy Assurance of Digital Mental Healthcare. The Alan Turing Institute https://doi.org/10.5281/zenodo.7107200
- Burr, C., & Leslie, D. (2022). Ethical assurance: A practical approach to the responsible design, development, and deployment of data-driven technologies. AI and Ethics. https://doi.org/10.1007/s43681-022-00178-0
From March 2024 until September 2024, the project is funded by UKRI's BRAID programme as part of a scoping research award for the Trustworthy and Ethical Assurance of Digital Twins project.
Between April 2023 and December 2023, this project received funding from the Assuring Autonomy International Programme, a partnership between Lloyd’s Register Foundation and the University of York, which was awarded to Dr Christopher Burr.
Between July 2021 and June 2022 this project received funding from the UKRI’s Trustworthy Autonomous Hub, which was awarded to Dr Christopher Burr (Grant number: TAS_PP_00040).