Evidence map›Paper›PMID 34934006›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Ethics and society review: Ethics reflection as a precondition to research funding.

Michael S Bernstein, Margaret Levi, David Magnus, Betsy A Rajala, Debra Satz, Quinn Waeiss

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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  5. Article
  6. Ethical oversight in impact evaluations: External advisory committees to assess programming risks.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. An ecosystem approach to governing commercial actors in healthcare AI.Policy studies (Policy Studies Institute) · 2025
    Article
  8. Training Bioethics Professionals in AI Ethics: A Framework.The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics · 2025
    Article
  9. Looking Beyond the IRB.The American journal of bioethics : AJOB · 2025
    Article
  10. Article
  11. Article
  12. Vulnerability in research ethics: A call for assessing vulnerability and implementing protections.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  13. Article
  14. The Need for IRB Leadership to Address the New Ethical Challenges of Research with Highly Portable Neuroimaging Technologies.The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics · 2024
    Article
  15. Prosocial motives underlie scientific censorship by scientists: A perspective and research agenda.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  16. Stronger regulation of AI in biomedicine.Science translational medicine · 2023
    Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Michael S BernsteinDepartment of Computer Science, Stanford University, Stanford, CA 94305.ORCID 0000-0001-8020-9434
Margaret LeviCenter for Advanced Study in the Behavioral Sciences, Stanford University, Stanford, CA, 94305; mlevi@stanford.edu.ORCID 0000-0001-6672-4552
David MagnusDepartment of Pediatrics, Stanford University, Stanford, CA 94305.
Betsy A RajalaCenter for Advanced Study in the Behavioral Sciences, Stanford University, Stanford, CA, 94305.
Debra SatzDepartment of Philosophy, Stanford University, Stanford, CA 94305.
Quinn WaeissCenter for Advanced Study in the Behavioral Sciences, Stanford University, Stanford, CA, 94305.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Researchers in areas as diverse as computer science and political science must increasingly navigate the possible risks of their research to society. However, the history of medical experiments on vulnerable individuals influenced many research ethics reviews to focus exclusively on risks to human subjects rather than risks to human society. We describe an Ethics and Society Review board (ESR), which fills this moral gap by facilitating ethical and societal reflection as a requirement to access grant funding: Researchers cannot receive grant funding from participating programs until the researchers complete the ESR process for their proposal. Researchers author an initial statement describing their proposed research's risks to society, subgroups within society, and globally and commit to mitigation strategies for these risks. An interdisciplinary faculty panel iterates with the researchers to refine these risks and mitigation strategies. We describe a mixed-method evaluation of the ESR over 1 y, in partnership with a large artificial intelligence grant program at our university. Surveys and interviews of researchers who interacted with the ESR found 100% (95% CI: 87 to 100%) were willing to continue submitting future projects to the ESR, and 58% (95% CI: 37 to 77%) felt that it had influenced the design of their research project. The ESR panel most commonly identified issues of harms to minority groups, inclusion of diverse stakeholders in the research plan, dual use, and representation in datasets. These principles, paired with possible mitigation strategies, offer scaffolding for future research designs.

Indexed as

computer scienceethicsmachine learningsocietal consequences

Identifiers

PMID34934006
PMCPMC8719852

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.