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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Ethics and Social Impacts of AI
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
fundfunder
venuejournal
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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,449 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,449 works in the cohort · of 4,299,418page 3 of 29

Labels cover 12 of 1,449 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 1,449 of 1,449 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Deepfakes, Deep Harms
Regina Rini, Leah Cohen
2022· article· en· Journal of Ethics and Social Philosophy· Social Sciences
distilled prediction:candidate · sts+research_integrityconsensus · none
44
citations
affunlabeled
Fearing the Robot Apocalypse: Correlates of AI Anxiety
David John Lemay, Ram B. Basnet, Tenzin Doleck
2020· article· en· International Journal of Learning Analytics and Artificial Intelligence for Education (iJAI)· Social Sciences
distilled prediction:candidate · noneconsensus · none
43
citations
fundvenueno affunlabeled
Artificial Intelligence and Teachers’ New Ethical Obligations
Catherine Adams, Patti Pente, Gillian Lemermeyer, Joni Turville, Geoffrey Rockwell
2022· article· en· The International Review of Information Ethics· Social Sciences
distilled prediction:candidate · metaresearchconsensus · none
43
citations
affgemma · no categorygpt · no categorymodels agree
The Dawning of the Ethics of Environmental Robots
Aimee van Wynsberghe, Justin Donhauser
2017· article· en· Science and Engineering Ethics· Social Sciences
distilled prediction:candidate · metaresearch+stsconsensus · sts
39
citations
affno abstractunlabeled
Human bias in algorithm design
Carey K. Morewedge, Sendhil Mullainathan, Haaya Naushan, Cass R. Sunstein, Jon Kleinberg, Manish Raghavan +1 more
2023· article· en· Nature Human Behaviour· Social Sciences
distilled prediction:candidate · noneconsensus · none
39
citations
affunlabeled
Regulating advanced artificial agents
Michael K. Cohen, Noam Kolt, Yoshua Bengio, Gillian K. Hadfield, Stuart Russell
2024· article· en· Science· Social Sciences
distilled prediction:candidate · stsconsensus · none
38
citations
affunlabeled
Fairness in Relational Domains
Golnoosh Farnadi, Behrouz Babaki, Lise Getoor
2018· article· en· Social Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
33
citations
affno abstractunlabeled
The new AI spring: a deflationary view
Jocelyn Maclure
2019· article· en· AI & Society· Social Sciences
distilled prediction:candidate · stsconsensus · none
33
citations
affno abstractunlabeled
Fairness in Recommender Systems
Michael D. Ekstrand, Anubrata Das, Robin Burke, Fernando Díaz
2012· book-chapter· en· Social Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
30
citations
affunlabeled
Actionable Auditing Revisited
Inioluwa Deborah Raji, Joy Buolamwini
2022· article· en· Communications of the ACM· Social Sciences
distilled prediction:candidate · metaresearch+sts+open_scienceconsensus · open_science
30
citations

How this was built: Screen · Findings · About