Pith. sign in

REVIEW 2 cited by

Using Scenario-Writing for Identifying and Mitigating Impacts of Generative AI

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 2410.23704 v1 pith:CBCBAO5V submitted 2024-10-31 cs.CY

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

Impact assessments have emerged as a common way to identify the negative and positive implications of AI deployment, with the goal of avoiding the downsides of its use. It is undeniable that impact assessments are important - especially in the case of rapidly proliferating technologies such as generative AI. But it is also essential to critically interrogate the current literature and practice on impact assessment, to identify its shortcomings, and to develop new approaches that are responsive to these limitations. In this provocation, we do just that by first critiquing the current impact assessment literature and then proposing a novel approach that addresses our concerns: Scenario-Based Sociotechnical Envisioning.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 2 Pith papers

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

  1. Envisioning Stakeholder-Action Pairs to Mitigate Negative Impacts of AI: A Participatory Approach to Inform Policy Making

    cs.CY 2025-01 conditional novelty 6.0 of 10

    A two-survey participatory pipeline turns laypeople's brainstormed stakeholder-action pairs for generative AI harms in the news environment into prioritized, LLM-generated policy fact sheets.

  2. Global Perspectives of AI Risks and Harms: Analyzing the Negative Impacts of AI Technologies as Prioritized by News Media

    cs.CY 2025-01 conditional novelty 6.0 of 10

    In 42,853 news articles from 27 countries, societal and legal risks dominate AI coverage, while environmental risks are almost absent, and outlet political bias shifts the emphasis.

Pith tools