- 26 May 2021
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Understanding Artificial Intelligence Ethics and Safety
- Updated on 26 May 2021
- 1 Minute to read
- DarkLight
We learned about this document from AIEthics.org
The Public Policy Programme at The Alan Turing Institute was set up in May 2018 with theaim of developing research, tools, and techniques that help governments innovate with data-intensive technologies and improve the quality of people's lives. We work alongside policy makers to explore how data science and artificial intelligence can inform public policyand improve the provision of public services. We believe that governments can reap the benefits of these technologies only if they make considerations of ethics and safety a first priority.
This document provides end-to-end guidance on how to apply principles of AI ethics and safety to the design and implementation of algorithmic systems in the public sector. We will shortly release a workbook to bring the recommendations made in this guide to life. The workbook will contain case studies highlighting how the guidance contained herecan be applied to concrete AI projects. It will also contain exercises and practical tools to help strengthen the process-based governance of your AI project.
Please note, that this guide is a living document that will evolve and improve with input from users, affected stakeholders,and interested parties. We need your participation. Please share feedback with us at policy@turing.ac.uk
This work was supported exclusively by the Turing's Public Policy Programme. All research undertaken by the Turing's Public Policy Programme is supported entirely by public funds. https://www.turing.ac.uk/research/research-programmes/public-policy.
This work is licensed under the terms of the Creative Commons Attribution License 4.0 which permits unrestricted use, provided the original author and source are credited.
Leslie, D. (2019). Understanding artificial intelligence ethics and safety: A guide for the responsible design and implementation of AI systems in the public sector. The Alan Turing Institute.https://doi.org/10.5281/zenodo.3240529