1. Home
  2. Glossary
  3. Precautionary principle
Biocomputing glossary

Precautionary principle: acting on serious risks before scientific certainty

The precautionary principle says uncertainty should not delay reasonable action against serious harm. Its origins, versions, critics and use in organoid ethics.

By Organoid Programming6 min readHow we source and fact-check

Definition

Precautionary principle: The precautionary principle holds that when an activity threatens serious or irreversible harm, lack of full scientific certainty should not be used as a reason to postpone reasonable, cost-effective measures to prevent it. It originated in environmental law, notably Principle 15 of the 1992 Rio Declaration, and is now applied to animal sentience and neural organoid research.

Also known as: precautionary approach, Rio Principle 15, Vorsorgeprinzip, sentience precautionary principle

The precautionary principle holds that when an activity threatens serious or irreversible harm, a lack of full scientific certainty should not be used as a reason to delay reasonable measures to prevent it. Born in environmental law, notably Principle 15 of the 1992 Rio Declaration, it now shapes debates about animal sentience and neural organoid research.

Key takeaways

  • The principle addresses decisions under uncertainty: it says the absence of proof of harm is not proof of safety.
  • Its best-known international statement is Principle 15 of the Rio Declaration on Environment and Development (1992).
  • Weak versions permit protective action despite uncertainty; strong versions shift the burden of proof onto those proposing a risky activity.
  • Philosopher Jonathan Birch adapted it to animal sentience (2017) and extended it to neural organoids and AI in The Edge of Sentience (2024).
  • Critics, notably Cass Sunstein, argue that strong versions are incoherent because inaction also carries risks; defenders argue for proportionate, carefully specified versions.

What is the precautionary principle?

The precautionary principle is a rule for making decisions when the evidence about harm is incomplete. In ordinary risk management, action often waits until harm is demonstrated. The precautionary principle reverses part of that logic for serious cases: if the potential harm is severe or cannot be undone, uncertainty itself should not be the reason for doing nothing.

Most formulations share three elements:

  1. A threat of harm that is serious, irreversible or both.
  2. Scientific uncertainty about whether, or how much, the harm will occur.
  3. A response that is triggered despite that uncertainty, usually limited to measures that are reasonable, proportionate or cost-effective.

What the principle does not say is equally important. Most versions do not require that all risky activity stop, and they do not tell decision-makers exactly which measures to choose.

Where did the precautionary principle come from?

The principle grew out of environmental policy in the late twentieth century and is often associated with the German concept of Vorsorgeprinzip, or “foresight principle.” Its most widely cited international form came at the United Nations Conference on Environment and Development, held in Rio de Janeiro from 3 to 14 June 1992. Principle 15 of the resulting Rio Declaration states that the precautionary approach “shall be widely applied by States according to their capabilities.” It continues that where there are threats of serious or irreversible damage, lack of full scientific certainty shall not be used as a reason for postponing cost-effective measures to prevent environmental degradation.

The European Union gave the principle a structured role in its 2000 Communication from the Commission on the precautionary principle. The Communication sought to clarify when the principle should be invoked, and it called for measures that are proportionate, non-discriminatory and consistent, that weigh potential benefits and costs, and that are reviewed as new scientific information emerges. It also aimed to prevent the principle from being used as disguised protectionism.

What are the weak and strong versions?

The principle comes in many formulations, and scholars commonly group them into weak and strong families.

Feature Weak versions Strong versions
Core claim Uncertainty does not justify delaying reasonable protection Potentially harmful activities should not proceed until shown to be safe
Burden of proof Stays largely with those calling for regulation Shifts to those proposing the activity
Typical example Rio Principle 15 Calls for moratoria on new technologies
Strength Widely accepted, hard to object to Gives clear guidance in high-stakes cases
Weakness Can seem too vague to guide action Can block beneficial activities and ignore risks of inaction

Most institutional uses, including Rio and the EU Communication, sit closer to the weak end, with added requirements of proportionality and cost-effectiveness.

How was it adapted to sentience?

In a 2017 paper in Animal Sentience, “Animal sentience and the precautionary principle,” philosopher Jonathan Birch noted that people often say animals should get the benefit of the doubt about sentience without saying what that means. He adapted the Rio wording to animal welfare: lack of full scientific certainty about sentience should not postpone cost-effective measures against serious welfare risks. He paired this with practical criteria for deciding when the evidence is strong enough to trigger protections, since a principle that triggered on any conceivable possibility would be unworkable.

That reasoning has influenced policy. The UK’s Animal Welfare (Sentience) Act 2022 defines the animals it covers to include cephalopod molluscs and decapod crustaceans as well as vertebrates, extending recognition to groups where evidence of sentience is credible but not conclusive.

In The Edge of Sentience (2024), Birch generalized the approach. He introduced the idea of a sentience candidate, a system with a realistic, evidence-based possibility of sentience, and argued that responses should be proportionate and decided through inclusive, democratic processes. The book discusses neural organoids and AI among its cases. The broader argument is developed in our essay on the moral status of biological computers.

How does the precautionary principle apply to neural organoid research?

Brain organoids are a natural test case. There is no evidence that current organoids are sentient, and the US National Academies’ 2021 report judged awareness or pain in them extremely unlikely in the foreseeable future, while recommending periodic reassessment. Yet the field is moving toward larger, longer-lived and more connected tissue, including assembloids, vascularized organoids and systems trained through closed-loop stimulation for organoid intelligence.

Koplin and Savulescu, writing in the Journal of Law, Medicine & Ethics (2019), argued that the possibility of consciousness could set moral limits on some kinds of organoid research. Proposals inspired by precautionary reasoning typically include:

  • Monitoring and reporting of organoid size, age, cell composition and activity recorded on a microelectrode array.
  • Tiered review, with extra scrutiny for transplants, assembloids or systems with rich sensory feedback.
  • Refinement of protocols, such as avoiding stimulation designed to be aversive where it is not needed.
  • Pre-agreed checkpoints that say which findings would trigger reassessment.
  • Public engagement, so that thresholds reflect wider values, not only researchers’ judgments.

The scientific background, including what theories of consciousness predict, is covered in can brain organoids become conscious?

What do critics say?

The best-known critique comes from legal scholar Cass Sunstein. In Laws of Fear (2005), he argued that strong versions of the principle are paralyzing, because risks lie on every side of a decision: regulating one hazard can create others, including the harms of forgoing a beneficial technology. A principle that forbids anything risky, he argued, forbids itself.

Applied to organoids, critics make parallel points:

  • Costs of inaction. Organoids are used to study brain disorders, test drugs on human tissue and develop new approach methodologies that can reduce some animal experiments. Overcaution delays those benefits.
  • Unlimited scope. If mere possibility triggers protection, almost any neural tissue could qualify on some theory of consciousness.
  • Vagueness. Without clear triggers, the principle can justify almost any decision.

Defenders reply that these objections target extreme forms. Philosopher Daniel Steel, in Philosophy and the Precautionary Principle (2014), argued that a carefully specified, proportionate version can be both coherent and action-guiding. Birch’s emphasis on credible evidence and proportionality is designed to answer the same critiques.

Where do the positions meet?

In practice, few serious voices call for halting current organoid research, and few deny that more complex systems warrant more scrutiny. The live disagreement is about thresholds: what evidence should trigger review, and what review should involve. That is partly an empirical question, which is why measurement and transparent records matter. For related practical questions, see the ethics of organoid intelligence.

We think proportionate precaution starts with good data: knowing exactly what was grown, how it was stimulated and what activity it showed. That is the reasoning behind the provenance and reporting features we describe in our approach to ethics. The precautionary principle will keep evolving as organoid research does, and it works best when the evidence it relies on is open.

Frequently asked questions

What is the precautionary principle in simple terms?

The precautionary principle says that if something might cause serious or irreversible harm, you should not wait for complete scientific proof before taking sensible steps to prevent it. It does not say all risky activity must stop. Most versions ask for measures that are proportionate to the risk and reasonable in cost, and that are revisited as evidence improves.

Where does the precautionary principle come from?

It developed in environmental policy, and its best-known international statement is Principle 15 of the Rio Declaration on Environment and Development, adopted at the UN conference in Rio de Janeiro in June 1992. Principle 15 says that where there are threats of serious or irreversible damage, lack of full scientific certainty should not postpone cost-effective measures to prevent environmental degradation.

What is the difference between the weak and strong precautionary principle?

Weak versions say uncertainty is not a reason to delay reasonable protective measures; they permit action without demanding it. Strong versions shift the burden of proof, requiring those proposing a potentially harmful activity to show it is safe, sometimes before it may proceed at all. Critics mainly target strong versions, arguing they can block beneficial activities and ignore risks created by inaction.

What is Jonathan Birch's precautionary principle for sentience?

In a 2017 paper in Animal Sentience, Birch adapted the Rio formula to animal welfare: lack of full scientific certainty about whether animals are sentient should not be used to postpone cost-effective measures against serious welfare risks. He paired it with criteria for when evidence is strong enough to act. His 2024 book The Edge of Sentience extends the approach to other uncertain cases, including neural organoids and AI.

How is the precautionary principle applied to brain organoids?

Applied to brain organoids, precaution usually means proportionate steps rather than bans: monitoring activity, setting review checkpoints for more complex models such as assembloids or transplants, avoiding unnecessary aversive stimulation, and reporting culture size, age and activity openly. Because there is no evidence that current organoids are sentient, most proposals focus on preparing decision procedures before more complex systems arrive.

What are the main criticisms of the precautionary principle?

The best-known critique, from legal scholar Cass Sunstein in Laws of Fear (2005), is that strong versions are incoherent because risks exist on every side: banning one activity creates the risks of not doing it. Others say the principle is too vague to guide decisions. Defenders, such as philosopher Daniel Steel, respond that carefully specified, proportionate versions can be coherent and useful.

Sources

  1. United Nations (1992). Rio Declaration on Environment and Development (A/CONF.151/26, Annex I), Principle 15.
  2. United Nations. Conferences: Environment and sustainable development, United Nations Conference on Environment and Development, Rio de Janeiro, 3-14 June 1992.
  3. European Commission (2000). Communication from the Commission on the precautionary principle, COM(2000) 1. EUR-Lex.
  4. Birch, J. (2017). Animal sentience and the precautionary principle. Animal Sentience.
  5. Birch, J. (2024). The Edge of Sentience: Risk and Precaution in Humans, Other Animals, AI, and Beyond. Oxford University Press (open access).
  6. Sunstein, C. R. (2005). Laws of Fear: Beyond the Precautionary Principle. Cambridge University Press.
  7. Steel, D. (2014). Philosophy and the Precautionary Principle: Science, Evidence, and Environmental Policy. Cambridge University Press.
  8. Koplin, J. J. & Savulescu, J. (2019). Moral Limits of Brain Organoid Research. Journal of Law, Medicine & Ethics.
  9. National Academies of Sciences, Engineering, and Medicine (2021). The Emerging Field of Human Neural Organoids, Transplants, and Chimeras.
  10. Animal Welfare (Sentience) Act 2022 (UK). legislation.gov.uk.