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The Proactionary Principle

Published by ideonexus

  1. People’s freedom to innovate technologically is valuable to humanity. The burden of proof therefore belongs to those who propose restrictive measures. All proposed measures should be closely scrutinized.
  2. Evaluate risk according to available science, not popular perception, and allow for common reasoning biases.
  3. Give precedence to ameliorating known and proven threats to human health and environmental quality over acting against hypothetical risks.
  4. Treat technological risks on the same basis as natural risks; avoid underweighting natural risks and overweighting human-technological risks. Fully account for the benefits of technological advances.
  5. Estimate the lost opportunities of abandoning a technology, and take into account the costs and risks of substituting other credible options, carefully considering widely distributed effects and follow-on effects.
  6. Consider restrictive measures only if the potential impact of an activity has both significant probability and severity. In such cases, if the activity also generates benefits, discount the impacts according to the feasibility of adapting to the adverse effects. If measures to limit technological advance do appear justified, ensure that the extent of those measures is proportionate to the extent of the probable effects.
  7. When choosing among measures to restrict technological innovation, prioritize decision criteria as follows: Give priority to risks to human and other intelligent life over risks to other species; give non-lethal threats to human health priority over threats limited to the environment (within reasonable limits); give priority to immediate threats over distant threats; prefer the measure with the highest expectation value by giving priority to more certain over less certain threats, and to irreversible or persistent impacts over transient impacts.

Extropy institute, The Proactionary Principle

Notes

Alternative to the precautionary principle.

References

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Watson’s reading

Tags generated by IBM Watson from the text. Percentages are its confidence.