Back Share
Sources

Turing responsible design and implementation of AI systems in the public sector

AI ethics-guideline not-research-ethics

"The Public Policy Programme at The Alan Turing Institute was set up in May 2018 with the aim 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 policy and 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 here can 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."p.3

Challenge Instances There may be lack of accountability for centering stakeholder experience and agency in the design of AI driven by commercial interests Implementation fairness and bias in system use, where undue dis/trust is placed in automated systems including in ways that are inequitable, or/and that deskill professionals Outcome fairness and bias in the outputs of models Design fairness and ensuring models address challenges communities agree should be addressed There is potential for breakdown in trust to arise from a loss of exposure to diverse human-human interactions Decisions with unclear grounding Concerns with merit of new systems Ensuring safe use of AI involves consideration of social and technical issues
Challenges Respect for diversity, non-discrimination, and fairness Privacy, confidentiality, data integrity and cultural norms
Link https://doi.org/10.5281/ZENODO.3240529
Overarching Principles Respect for persons Beneficence Justice Consider long-range and indirect impacts
Principles RESPECT the dignity of individual persons Ensure their abilities to make free and informed decisions about their own lives Safeguard their autonomy, their power to express themselves, and their right to be heard Secure their capacities to make well-considered and independent contributions to the life of the community Support their abilities to flourish, to fully develop themselves, and to pursue their passions and talents according to their own freely determined life plans CONNECT with each other sincerely, openly, and inclusively Safeguard the integrity of interpersonal dialogue, meaningful human connection, and social cohesion Prioritise diversity, participation, and inclusion at all points in the design, development, and deployment processes of AI innovation. Encourage all voices to be heard and all opinions to be weighed seriously and sincerely throughout the production and use lifecycle Use the advancement and proliferation of AI technologies to strengthen the developmentally essential relationship between interacting human beings. Utilise AI innovations pro-socially so as to enable bonds of interpersonal solidarity to form and individuals to be socialised and recognised by each other Use AI technologies to foster this capacity to connect so as to reinforce the edifice of trust, empathy, reciprocal responsibility, and mutual understanding upon which all ethically wellfounded social orders rest CARE for the wellbeing of each and all Design and deploy AI systems to foster and to cultivate the welfare of all stakeholders whose interests are affected by their use Do no harm with these technologies and minimise the risks of their misuse or abuse Prioritise the safety and the mental and physical integrity of people when scanning horizons of technological possibility and when conceiving of and deploying AI applications PROTECT the priorities of social values, justice, and the public interest Treat all individuals equally and protect social equity Use digital technologies as an essential support for the protection of fair and equal treatment under the law Prioritise social welfare, public interest, and the consideration of the social and ethical impacts of innovation in determining the legitimacy and desirability of AI technologies Use AI to empower and to advance the interests and well-being of as many individuals as possible Think big-picture about the wider impacts of the AI technologies you are conceiving and developing. Think about the ramifications of their effects and externalities for others around the globe, for future generations, and for the biosphere as a whole
Reference 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.
Rights
Strategies Principle of Discriminatory non-harm for fairness, key considerations for data fairness Principle of Discriminatory non-harm for fairness, key considerations for design fairness Principle of Discriminatory non-harm for fairness, key considerations for outcome fairness Principle of Discriminatory non-harm for fairness, key considerations for implementation fairness Principle of Accountability, key considerations Principle of Sustainability, key considerations and impact assessment Principle of Safety, key considerations Principle of transparency, key considerations Principle of responsible delivery through human-centred implementation, key considerations
Created At 2023-05-19T09:35:56.000Z
Title Turing responsible design and implementation of AI systems in the public sector