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US to probe Tesla's 'Full Self-Driving' system after pedestrian killed in low visibility conditions (apnews.com)

submitted 2 weeks ago by Stopthatgirl7@lemmy.world to c/technology@lemmy.world

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The U.S. government’s road safety agency is again investigating Tesla’s “Full Self-Driving” system, this time after getting reports of crashes in low-visibility conditions, including one that killed a pedestrian.

The National Highway Traffic Safety Administration says in documents that it opened the probe on Thursday with the company reporting four crashes after Teslas entered areas of low visibility, including sun glare, fog and airborne dust.

In addition to the pedestrian’s death, another crash involved an injury, the agency said.

Investigators will look into the ability of “Full Self-Driving” to “detect and respond appropriately to reduced roadway visibility conditions, and if so, the contributing circumstances for these crashes.”

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[–] NeoNachtwaechter@lemmy.world 3 points 2 weeks ago

Investigators will look into the ability of “Full Self-Driving” to “detect and respond appropriately to reduced roadway visibility conditions

They will have to look long and hard...

[–] tekato@lemmy.world 2 points 2 weeks ago (1 children)

This is why you can’t have an AI make decisions on activities that could kill someone. AI models can’t say “I don’t know”, every input is forced to be classified as something they’ve seen before, effectively hallucinating when the input is unknown.

[–] pycorax@lemmy.world 3 points 2 weeks ago (1 children)

I'm not very well versed in this but isn't there a confidence value that some of these models are able to output?

[–] FatCrab@lemmy.one 3 points 2 weeks ago (4 children)

All probabilistic models output a confidence value, and it's very common and basic practice to gate downstream processes around that value. This person just doesn't know what they're talking about. Though, that puts them on about the same footing as Elono when it comes to AI/ML.

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