351–360 of 1001 posts
That car has to have a dashcam -- what's the current caselaw with regards to the 5th amendment?
Earlier quoted context omitted.
The main problem with self-driving cars is that they can't "read" humans' body language. A human driver can see pedestrians and cyclists (and other cars) and have a rough idea of what they're likely to do in the next few seconds, i.e. the pedestrian leaning out on the crosswalk curb is likely to step into the road soon. Even a reaction time of milliseconds can't make up for the (currently exclusive) human ability to…
Are you sure that supervised learning does not create the same classification capabilities in self driving car AIs?
This may not have been an unexpected circumstance. The "pedestrian outside of the crosswalk" report is likely wrong. There is visual evidence that strongly supports that this was a case of the Uber hitting a bicyclist while merging into the right turn lane. Here's a picture of the crumpled bicycle (note dent on the front right of the car): https://twitter.com/daiwaka/status/975767445859287042 The sign it is lying nex…
Wow, that's really bad! Easy to see how the code didn't factor in the possibility of someone using the bike lane, which is a very bad look for Uber.
Not to dismiss the tragedy of this incident, but it should be expected that self-driving cars kill pedestrians -- just at a rate lower than what's expected from human drivers. Perhaps there's a better metric to look at, but I'd like to see number of deaths caused per miles driven. If Uber's self-driving cars are killing more pedestrians than a human driver would, we have a huge problem, but I'd be willing to bet they…
It's not that simple. Who is going to take responsibility for such incidents? The company that owns the car? The person behind the wheel (if any)? Or the engineer that designed the algorithm?
This opens up an interesting question going forward. We can't rely on Uber themselves to analyse the telemetry data and come to a conclusion, they're biased. So really, we need self driving car companies to turn over accident telemetry data to the police. But the police are ill equipped to process that data. We need law enforcement to be able to keep pace with advances in technology and let's face it, they're not goi…
For instance, take a look at:
https://www.ntsb.gov/investigations/AccidentReports/Pages/HW...
"The Tesla was equipped with multiple electronic systems capable of recording and transmitting vehicle performance data. NTSB investigators will continue to collect and analyze these data, and use it along with other information collected during the investigation in evaluating the crash events."
Earlier quoted context omitted.
My opinion is that we will come to a point where self-driving cars are demonstrably, but only marginally, safer road users than humans. From an ethical standpoint the interesting phase will only start then. It‘s one thing to bring a small fleet of high tech (e.g. having LIDAR) vehicles to the road. It‘s another to bring that technology to a saturated mass market which is primarily cost driven. Yes, I assume self-driv…
We do all the time, and the answer to your question is, yes if marketed ingeniously. Humans are stupid.
Uber: 1 Pedestrians: 0 Game on.
This may not have been an unexpected circumstance. The "pedestrian outside of the crosswalk" report is likely wrong. There is visual evidence that strongly supports that this was a case of the Uber hitting a bicyclist while merging into the right turn lane. Here's a picture of the crumpled bicycle (note dent on the front right of the car): https://twitter.com/daiwaka/status/975767445859287042 The sign it is lying nex…
Wow, that's really bad! Easy to see how the code didn't factor in the possibility of someone using the bike lane, which is a very bad look for Uber.
People from different localities drive differently. I hope they use drivers from say, NY, LA, and various small towns to teach the AI.
People that lives in towns with ~ 10k people drive differently that a new yorker on the same town.
EDIT: They might be training with a biased sample