LIST OF PANELS

The increasing prevalence of AI is potentially transforming policy design. Yet much recent normative discussion on principles governing AI remains largely assumed, highly general, overlapping, and/or conflicting (Whittlestone et al., 2019). What normative principles are relevant to the incorporation of AI in the process and content of policy design? Are these principles well-justified? How different principles may be realized and potentially reconciled in governing the use of AI in policy design?

A review of the literature has identified the most prevalent ethical principles for AI as transparency, privacy, accountability, and fairness (Khan et al., 2022). An “ethics by design” approach proposes that AI should align with human moral values in achieving functional goals and solving problems (Brey & Dainow, 2020). More concrete proposal includes a human-centered approach (Chrisley, 2020), with the deployment of the international human rights framework to guide ethical principles development (Yeung et al., 2020). Others propose the development of rigorous and practically relevant frameworks and guidelines for AI ethics by explicitly recognizing the tension among AI-governing principles (Whittlestone et al., 2019). Practical judgement is also emphasized to build and maintain “structures and policies that help to avert, limit or resolve tension and conflicts between enactments of normative principles” (O’Neill, 2018: 207).

The logic of design thinking provides a good theoretical foundation to engage with these discussions, addressing AI challenges with innovative approaches and concrete solutions. Apart from an instrumental account focused on clear objectives and means to achieve them, a process account of “collective managing” emphasizes mutual recognition and shared discourse. Scholars of “new policy design” takes account of the “context” and consider the range of “feasible” options possible in a given circumstance (Howlett 2014; Colebatch, 2022). Discussion on normative principles and their guidance to policy design may be incorporated into these contexts.

This panel hopes to galvanize these endeavors and facilitate a more in-depth discussion on relevant normative principles governing the incorporation of AI in policy design, so that suitable principles and correspondingly practical arrangements may be developed. Proposals addressing ethical problems, both theoretical and applied, at different stages of the policy process in various policy areas and settings, are welcome. The panel is interested in discussions and proposals of relevant principles derived from diverse philosophical traditions, as well as practical proposal such as political-administrative institutional designs for facilitating the application of these principles.

References

Brey, P., & Dainow, B. (2020). Ethics by design and ethics of use approaches for artificial intelligence, robotics and big data. SIENNA. In.

Chrisley, R. (2020). A human-centered approach to AI ethics. The Oxford handbook of ethics of AI, 463-474.

Colebatch, H. K. (2022). Making sense of (and with) policy design. In Research Handbook of Policy Design (pp. 120-134). Edward Elgar Publishing.

Howlett, M. (2014). From the ‘old’ to the ‘new’ policy design: Design thinking beyond markets and collaborative governance. Policy sciences, 47, 187-207.

Khan, A. A., Badshah, S., Liang, P., Waseem, M., Khan, B., Ahmad, A., Fahmideh, M., Niazi, M., & Akbar, M. A. (2022). Ethics of AI: A systematic literature review of principles and challenges. Proceedings of the 26th International Conference on Evaluation and Assessment in Software Engineering,

O'Neill, O. (2018). From principles to practice: Normativity and judgement in ethics and politics. Cambridge University Press.

Whittlestone, J., Nyrup, R., Alexandrova, A., & Cave, S. (2019). The role and limits of principles in AI ethics: Towards a focus on tensions. Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society,

Yeung, K., Howes, A., & Pogrebna, G. (2020). AI governance by human rights–centered design, deliberation, and oversight. The Oxford handbook of ethics of AI, 77-106.

This panel hopes to galvanize various endeavors and facilitate a more in-depth discussion on topics of normative principles governing the incorporation of AI into policy design, so that suitable normative principles and correspondingly practical arrangements may be developed. Proposals addressing ethical problems, both theoretical and applied, at different stages of the policy process in various policy areas and settings, are welcome.