Late Lessons, Jensen Huang and AI

LL2-27 digest — Ch27 More or less precaution? (David Gee)#

EEA Report No 1/2013, pp. 643–669 (text pp. 643–662). There are no panels. Box 27.5 consists of “edited extracts” from René von Schomberg (European Commission research directorate, writing in a personal capacity). Gee originated the Late Lessons project, was EEA editor for both volumes and co-wrote three of the cases he summarises (Chs 3, 8, 21). This is the project lead’s own case for wider use of the precautionary principle (PP), not an independent review.

Core argument#

The PP has two roles: - a justification for acting earlier on early warnings; - a trigger for debate about which innovation pathways a society wants (p. 644).

Seven barriers “explain much about the decades‑long delay between warnings and action” (p. 645): 1. corporate opposition; 2. confusion over definitions; 3. complex, multicausal systems; 4. the clash between the proof needed for scientific causation and the lower bar needed for timely policy; 5. skewed cost analysis; 6. short-termism; 7. little public engagement.

The chapter supplies a set of tools: - An EEA working definition of the PP (p. 649): act under “complexity, uncertainty and ignorance” against serious or irreversible threats, “using an appropriate strength of scientific evidence” and weighing pros and cons “and their distribution”. - A typology of knowledge states (Table 27.1, p. 656). - A strength-of-evidence scale (Table 27.2, p. 658). - Twelve “criteria for action” (Box 27.4, p. 653). - A participatory risk-analysis cycle (Fig. 27.2, p. 660).

Key evidence#

Main mechanisms#

Transferable insights (technology-neutral)#

  1. Set evidence thresholds by purpose and consequence, not by the standard of scientific proof (pp. 649, 656–658). Strong.
  2. The burden and standard of proof can be split between the parties (p. 658). Strong as a description of legal designs.
  3. “No evidence” often means “never studied”, and “not established” judgements rarely say who bears the error (pp. 657–658). Strong as a logical and communication point. How often this happened across cases is asserted here and evidenced elsewhere (Ch 26).
  4. Missing causal indicators in complex systems are weak grounds for dismissal (pp. 652–654). Moderate–strong.
  5. Control and funding of research shape what is known (pp. 646, 654). Moderate. The funding effect is strong in pharmaceuticals and tobacco.
  6. The defence repertoire is to control research, use reassuring language and manufacture doubt (pp. 645–646). Strong historically, suggestive as prediction.
  7. Concentrated costs versus diffuse benefits bias decisions toward inaction (pp. 647, 659). Strong as a political-economy argument. The chapter illustrates it by cross-reference to Ch 23 but does not measure it.
  8. Delay entrenches incumbents and suppresses substitutes (p. 659). Moderate/suggestive.
  9. Ignorance calls for proxies, analogy, monitoring and adaptable options (pp. 654–656). Strong as a concept, moderate as guidance.
  10. Specific, prompt harms trigger action, while diffuse, delayed, multicausal harms are disadvantaged (pp. 645, 650). Moderate. This is an inference from the chapter’s juxtapositions, not its stated thesis.
  11. False reassurance costs trust (p. 658). Moderate.
  12. Value judgements run from framing onward, so participation should include framing (pp. 659–660). Moderate.
  13. Institutional time horizons are mismatched with hazard lags (p. 659). Moderate–strong as diagnosis. It is plausible given the documented lags, but Section 27.7 is two paragraphs with no case analysis.

Main caveats#

Later evidence#

The chapter’s tools have held up better than some of its example “emerging hazards”.