The recklessness of Uber and Tesla in their development of autonomous cars risks alienating a public already wary of self-driving vehicles
Autonomous vehicles were supposed to make driving safer, and they may yet—some of the more optimistic research indicates self-driving cars could save tens … Tweets: @nigelcameron Tweets: Nigel Cameron / @nigelcameron : OK, but my suspicion is occasional accidents will harden up public risk thinking. http://twitter.com/...
Context & Ripple Effects
This piece lands days after sources told the New York Times that Uber's cars still face unresolved issues as it prepares to resume autonomous-mode testing in Pittsburgh (Uber's Pittsburgh relaunch), making the 'recklessness' framing concrete rather than hypothetical. On the Tesla side, the argument extends a pattern critics had already documented: months earlier the company drew fire for adding over a dozen video games playable while driving on top of standing Autopilot concerns.
The deeper tension dates back years to [[a:867184|the debate over whether incrementally shipping semi-autonomous features beats waiting for full automation]] — Uber and Tesla are effectively the test cases for the incremental path, with the public as the control group. Nigel Cameron's tweeted suspicion cuts to the mechanism: isolated accidents don't just add risk statistics, they harden how people weigh risk.
First-order effects
- Uber returns to Pittsburgh public streets with known technical issues outstanding, meaning its next incident lands on a public already primed by the earlier testing suspension.
- Tesla faces a widening gap between its safety-first marketing ('Autonomous vehicles were supposed to make driving safer') and a feature pipeline — driver-playable games among it — that critics read as prioritizing engagement over road users.
Second-order effects
- Because experts note there is no publicly available data to verify either company's safety claims, every visible accident gets weighted as evidence by default, amplifying the reputational cost of each crash beyond what the underlying statistics would justify.
- The estimated ~$100B investors have bet on self-driving startups (per Bloomberg) becomes hostage to public sentiment: a hardened-against-autonomy public slows commercialization, stretching the payback horizon on those bets.
Third-order effects
- If Cameron's dynamic holds — occasional accidents compounding into durable public risk aversion — the already-cautious adoption timeline sketched back in 2016, which argued self-driving wouldn't displace human drivers for at least a decade over people, police, laws, maps, and tech readiness (Scoble's decade-long case), stretches further out.
- Sustained trust erosion pushes regulators toward mandatory disclosure of disengagement and incident data, converting what is now a PR problem for Tesla and Uber into a compliance requirement for the whole industry.
The trend: Autonomous-vehicle developers are trading public trust for deployment speed, and each high-profile accident raises the acceptance bar that every subsequent rollout must clear.