mlsanityData to 7 Oct 2026

Atomist or Holist? A Diagnosis and Vision for More Productive Interdisciplinary AI Ethics Dialogue

arXiv 2208.09174 ↗First posted 19 Aug 2022cs.CY cs.AI stat.OTcited by 1

Not on the map. Why?

Abstract (arXiv)

In response to growing recognition of the social impact of new AI-based technologies, major AI and ML conferences and journals now encourage or require papers to include ethics impact statements and undergo ethics reviews. This move has sparked heated debate concerning the role of ethics in AI research, at times devolving into name-calling and threats of "cancellation." We diagnose this conflict as one between atomist and holist ideologies. Among other things, atomists believe facts are and should be kept separate from values, while holists believe facts and values are and should be inextricable from one another. With the goal of reducing disciplinary polarization, we draw on numerous philosophical and historical sources to describe each ideology's core beliefs and assumptions. Finally, we call on atomists and holists within the ever-expanding data science community to exhibit greater empathy during ethical disagreements and propose four targeted strategies to ensure AI research benefits society.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 14 of its 127 references that are in the map. First posted on arXiv 19 Aug 2022.

Builds on

14 of 127 references.

References · 14

  1. 2017Attention Is All You Needcited by 59,932
  2. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 29,915
  3. 2020Aligning AI With Shared Human Valuescited by 706
  4. 2020Are we done with ImageNet?cited by 329
  5. 2019Principles alone cannot guarantee ethical AIcited by 134
  6. 2021Beyond Fair Pay: Ethical Implications of NLP Crowdsourcingcited by 52
  7. 2021Institutionalising Ethics in AI through Broader Impact Requirementscited by 20
  8. 2021AI Ethics Statements -- Analysis and lessons learnt from NeurIPS Broader Impact Statementscited by 16
  9. 2018Data Science as Political Action: Grounding Data Science in a Politics of Justicecited by 14
  10. 2020Designing for Human Rights in AIcited by 13
  11. 2021It's Time to Do Something: Mitigating the Negative Impacts of Computing Through a Change to the Peer Review Processcited by 11
  12. 2020AI virtues -- The missing link in putting AI ethics into practicecited by 9
2 more
  1. 2018Embedded EthiCS: Integrating Ethics Broadly Across Computer Science Educationcited by 5
  2. 2021Use of Formal Ethical Reviews in NLP Literature: Historical Trends and Current Practicescited by 3

Built on by

Cited by year

Citing papers per year: 2023: 1.

1 paper.