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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
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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 17 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. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Privacy in AI
Esma Aı̈meur
2025· book-chapter· en· Human-computer interaction series· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Beyond Classification: The Machinic Sublime
Joel Ong, Robert Twomey, Eunsu Kang, Kangsan Joshua Jin
2021· article· en· Electronic workshops in computing· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Ethics in Software Engineering
Pankaj Kamthan
2011· book-chapter· en· IGI Global eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Introducing Some Basic Concepts and Tools
Douglas Walton
2013· book-chapter· en· Cambridge University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
$140.00 hardcover.
2016· article· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Workshop on Trustworthy AI, in Montreal
2024· article· en· Industrias Culturais (Universidade de Coimbra)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
On keeping secrets
Aaron Hunter
2015· article· en· National Conference on Artificial Intelligence· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Picturing the Modem Amazon
Maria Zimmermann Brendel
2000· article· en· Espace Sculpture· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Security Risks Concerns of Generative AI in the IoT
Honghui Xu, Yingshu Li, Olusesi Balogun, Shaoen Wu, Yue Wang, Zhipeng Cai
2024· preprint· en· arXiv (Cornell University)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Designing Fiduciary Artificial Intelligence
Sebastian Benthall, David Shekman
2023· preprint· en· arXiv (Cornell University)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Adversarial training approach for local data debiasing
Ulrich Aïvodji, François Bidet, Sébastien Gambs, Rosin Claude Ngueveu, Alain Tapp
2019· preprint· en· arXiv (Cornell University)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Trump-Musk Breakup & Free AI Skills
2025· other· en· Internet Archive (Internet Archive)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Artificial Intelligence and Innovation Ethics
Miguel Alzola, Thomas Donaldson, Samer Faraj, John Hooker, Tae Wan Kim, Cristina Neesham
2020· article· en· Academy of Management Proceedings· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Culture Matters
Alexandru Bâlâşescu
2025· book-chapter· en· Artificial intelligence, simulation and society· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Three Essays on Monetary Policy
2024· article· de· edoc Publication server (Humboldt University of Berlin)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Introduction to AI, Ethics & Society
Jared Bielby, Rachel Fischer, Geoffrey Rockwell
2020· article· en· The International Review of Information Ethics· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
AI Ethics
Lionel Nganyewou Tidjon
2022· dataset· en· PolyPublie (École Polytechnique de Montréal)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About