Why Inductive Risk Requires Values in Science
Abstract
Although science is our most reliable source for empirical knowledge, it is also endemically uncertain, largely because of its inductive nature. In this chapter, the author argues that social and ethical values are needed to help scientists make this judgment, because purely internal standards do not help with assessing evidential sufficiency. Some philosophers have suggested that the only judgments needed are those that are dictated by internal standards for doing science. Such a view holds that in the face of a need for judgment about whether a theory is sufficiently supported, that scientists need only consider certain "epistemic" values. The problem with relying on these epistemic values is that they don't help with deciding whether the evidence is sufficient. The author also argues that purely epistemic reasons and values cannot tell us when evidence is sufficient for making a scientific claim. Social and ethical values are a well-justified part of scientific reasoning.
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Deciding how much of each kind of error is acceptable involves value judgments, such as whether the moral cost of overlooking a conscious system outweighs the cost of mistakenly ascribing consciousness.
“Deciding how much of each kind of error is acceptable isn't purely objective but involves value judgments (Douglas, 2017), such as whether the moral cost of overlooking a conscious system outweighs the cost of mistakenly ascribing consciousness.”
From Are Attributions of Consciousness to AI Chatbots Epistemically Innocent? (2026) · cites this paper as Douglas, 2017
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Value-entanglement and the integrity of scientific research
Resnik, D. B., & Elliott, K. C. (2019) · Studies in History and Philosophy of Science Part A · doi:10.1016/j.shpsa.2018.12.011 · Cited by 49 · see citing works
“Choice-supportive bias” in science: Explanation and mitigation
Kafaee, M., Marhamati, H., & Gharibzadeh, S. (2021) · Accountability in Research · doi:10.1080/08989621.2021.1872377 · Cited by 12 · see citing works
Are Attributions of Consciousness to AI Chatbots Epistemically Innocent?
Peters, U. (2026) · Minds and Machines · doi:10.1007/s11023-026-09795-8
- Authors
- Douglas, H.
- Corresponding author
- Douglas, Heather
- ORCID
- Douglas, Heather
- Venue
- Current Controversies in Values and Science
- Publisher
- Routledge
- Published
- 2017-03-27
- Pages
- 81-93
- OpenAlex
- W2904507477
- Cited by
- 44
- References
- 0
- Citations by year
- 2026: 4 · 2025: 7 · 2024: 7 · 2023: 5 · 2022: 8 · 2021: 5 · 2020: 4 · 2019: 1 · 2018: 3
- FWCI
- 16.09
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Routledge eBooks (publishedVersion)
- PhilSci-Archive (University of Pittsburgh) (acceptedVersion)
- Topics
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Philosophy and History of Science
- Social Sciences › Arts and Humanities › Philosophy › Epistemology, Ethics, and Metaphysics
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Philosophy, Science, and History
- Keywords
- inductive risk, epistemic value, scientific uncertainty, scientific reasoning, epistemic justification
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