<aside> 🎯 By the end of this section you should be able to identify effective ways of framing public deliberation on AI.

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<aside> 🚧 Contributor guidance: less is more; add ‘TODO’ or comments to describe areas in need of addition; link out liberally to other resources; focus on things that are specific to AI (see about this pathfinder)

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DRAFT CONTENTS

• Challenging narrative framing: cutting through science-fiction and ‘magical’ narratives, to focus on the reality of artificial intelligence in everyday life.

Rough notes & resources

Please drop resources we should draw upon in drafting this section here.

Civic Participation in the Datafied Society| Understanding Civic Participation and Realizing Data Justice

Controversies, contradiction, and “participation” in AI - Mona Sloane, 2024

From November 2023 workshop

The group sketched out a four-step framework for thinking about the design of deliberation on AI, providing a common structure that can be adapted for different kinds of AI, and different settings where AI is being deployed.

1. Identify the decision or focus of discussion and find a frame that leads with the context over the technology
   1. Generative AI
   2. Facial recognition
   3. Automated decision making
   4. AI impacts on society
   5. Recommender systems
2. Identify the affected communities, who to involve and how to invite
3. Design an appropriate learning phase
4. Design the deliberation process and outputs

Draft notes to support development of this framework developed by the group are given below.

Step 1: Identifying the focus and frame

Effective public engagement should start from society, substantive issues, and everyday life.