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Third caveat: on balance, asbestos ended up being seen to do more harm than good, hence bans on its use and manufacture in the EU, UK and USA. The jury is still out on the total impact of GenAI, but even if its effects are net negative (my current educated guess), the solution is far less clear. 7/n
Likewise, some elite private schools and universities are already testing 'AI-free' models of education for the wealthy (including children of AI developers!) while cash-strapped public schools go all-in for AI to deliver 'efficiencies' (reduce headcount). Same dynamics in media, health, etc. 13/n
Likewise, working people like my grandfather, who died from asbestos exposure at work, didn't have a choice about whether to be harmed by it. Many people don't feel they have the power to say 'no' to using GenAI at work or to avoid it for schoolwork, if the cost is being seen as 'unproductive.' 14/n
Again, this may be reversible! But it's a hell of a gamble, and frankly an inexcusable one, that we are making our kids think with it *before we know* how severe is the harm to their cognitive flexibility and motivation, or how to reverse its harmful effects. Nor do we know how to prevent harm. 16/n
asbestos is such a depressing case, indeed: "Looking back in the light of present knowledge, it is impossible not to feel that opportunities for discovery and prevention of asbestos disease were badly missed." Thomas Legge, ex Chief Medical Inspector of Factories, in Industrial maladies, 1934
useful on this point with case studies: "Late lessons from early warnings: the precautionary principle 1896-2000" www.eea.europa.eu/en/analysis/...
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Also...
> The earliest account of [the hazards of] asbestos was provided by Lucy Deane [in 1898], one of the first Women Inspectors of Factories in the UK. [T]hese laywomen might not have been categorised as [experts] but they were competent observers [& t]heir reports were not refuted but simply ignored.