Pith. sign in

REVIEW 1 cited by

Expansive Participatory AI: Supporting Dreaming within Inequitable Institutions

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2211.12434 v1 pith:WEL4LW3Y submitted 2022-11-22 cs.HC cs.AI

classification cs.HCcs.AI
keywords participatorydesigndynamicsexpansiveinstitutionalpowerprocesstechnology
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

Participatory Artificial Intelligence (PAI) has recently gained interest by researchers as means to inform the design of technology through collective's lived experience. PAI has a greater promise than that of providing useful input to developers, it can contribute to the process of democratizing the design of technology, setting the focus on what should be designed. However, in the process of PAI there existing institutional power dynamics that hinder the realization of expansive dreams and aspirations of the relevant stakeholders. In this work we propose co-design principals for AI that address institutional power dynamics focusing on Participatory AI with youth.

Discussion (0). Sign in to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Recommending With, Not For: Co-Designing Recommender Systems for Social Good

    cs.HC 2025-08 conditional novelty 5.0 of 10

    Recommender systems for social good should be co-designed with the communities they affect, across problem definition, design, evaluation, and monitoring.

Pith tools