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EdTech Ethics Deliberative Democracy (2021)

Welcome!

Photo by Maxime VALCARCE on Unsplash

Sept 2021 update: There has been huge interest in this project, which is very encouraging, but applications are now closed. However, If you are not selected in the first round, you may still get a place if others decline their invitations. Members of the UTS community can express interest in future activities in the Keep Me Posted form.

Jan 2022 update: EdTech Ethics Report on the process and outcomes of the consultation published below.

June 2023 update: Carrying these principles forward, UTS publishes its AI Operations Policy and AI Operations Procedure governed by an AI Operations Board, including representation from the UTS Students Association, with ongoing student workshops on Generative AI and Predictive AI.

Jan 2024 update: Peer reviewed research paper accepted, updating the report below by documenting the interviews with participants (students, casual tutors, academics, senior leaders), and what happened after: Swist, T., Buckingham Shum, S. & Gulson, K. N. (In Press). Co-producing AIED Ethics Under Lockdown: An Empirical Study of Deliberative Democracy in Action. International Journal of Artificial Intelligence in Education. [blog post + paper]

EdTech Ethics Report:

Cover image of the EdTech Ethics report

Buckingham Shum, S. (2022), The UTS “EdTech Ethics” Deliberative Democracy Consultation: Rationale, Process and Outcomes. Connected Intelligence Centre, University of Technology Sydney, AUS. Published online 31 January, 2022: https://cic.uts.edu.au/projects/edtech-ethics

[Read the full report]

Executive Summary

This report has been written to document a novel community consultation process, using the principles and methods of Deliberative Democracy to consult with the UTS community on the following brief:

What principles should govern UTS use of analytics and artificial intelligence to improve teaching and learning for all, while minimising the possibility of harmful outcomes?

We’re sharing this to assist colleagues in UTS and beyond who are seeking more participatory models for community deliberation, with (in this case) specific application to the responsible use of educational technology that is powered by analytics and artificial intelligence. This is not a research paper, seeking to argue conceptual or empirical contributions to academic fields, although research is underway analysing and evaluating this process. We do hope, however, that this represents an interesting and novel ‘data point’ that others will find useful.

Deliberative Democracy (DD) is a movement in response to the crisis in confidence in how typical democratic systems engage citizens in decision making. DD works by creating a Deliberative Mini-Public (DMP). DMPs can be convened at different scales (organisation; community; region; nation) and can take many forms.

A DMP of 20 was selected through stratified sampling from UTS students, casual tutors and academics, who engaged in a series of five online workshops over seven weeks, due to Covid-19 conditions. With little to no prior knowledge among most members, they learned about the topic, worked well together, and converged on a set of principles that they felt reflected their shared values. The university experts who were involved in the workshops recognised the quality of the progress made in such a short period. UTS now has a plausibly representative expression of the community’s values, interests and concerns, in response to the brief. The principles can be viewed in Appendix 1: Draft Ethics Principles.

The raison d’etre for the initiative is to build trust within the university that these technologies are being deployed responsibly. The DMP process delivered on its promise to build engagement and trust across diverse stakeholders. The recording of the final briefing (18 mins, below) conveys the passion and commitment that the DMP invested in the process and outcome, reinforced by the preliminary themes emerging from interviews with students, educators and senior leaders.

Deliberative Democracy, even when conducted wholly online, would appear to offer educational institutions an approach to address the urgent need for meaningful student/staff consultation on the ethical implications of introducing Learning Analytics and Artificial Intelligence into teaching and learning. The implementation process is now beginning, which we will be studying with equal interest.

 

 

Overview

Deliberative Democracy

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