I think that your consideration is a good one, but I think it comes down to numbers. Will a no-additional-cost-per-ride pass increase the "unnecessary" load on the system so much that they need to start using additional transit vehicles, thus increasing emissions? What percentage of trips are "unnecessary"? Will the growth of the system for "necessary" trips be able to handle the "unnecessary" load anyway?
Aside: for "unnecessary" trips, I'm setting aside the possibility of other options, such as "I already own a car and will now use that instead of paying 1 EUR".
Thanks for the detailed response! And nice to hear how much you've managed to keep humans involved in the process. I used to work on a content review automation system for a big company, so it's always fun to hear about how others handle similar cases.
And there's a lot of overlap between how that system acted and what you're describing. It makes we wonder if there's space for a company that offers this sort of model training + content tagging + review tooling capability as a service, or if there's too many variation on what "good" and "bad" input is to make it generalizable.
I think they meant (and I am interested in hearing about) appealing a "block" decision that was made by your automation.
If I'm a real human and trying to post a "good" post, but the model classifies it as bad and automatically blocks it, how do I appeal that decision? Can I? Or is my post totally blocked with no recourse?
First names: "We draw racially distinctive first names from two sources. First, we use the
same set of names in Bertrand and Mullainathan (2004), which are in turn drawn from
Massachusetts birth records covering 1974 to 1979. Second, we supplement with names
drawn from administrative records on speeding infractions and arrests provided by the
North Carolina Administrative Office of the Courts and covering 2006 to 2018. We pick
the most common names among drivers born between 1974 and 1979 with race- and
gender-specific shares of at least 90%"
Last names: "Last names are drawn from 2010 Decennial Census data. We use the names with
highest race-specific shares that occur at least 10,000 times, picking 26 total for each
race group"
Apple purchased Siri from a startup of the same name. The startup founder chose the name because he liked it, having first heard of it because it was the name of a former coworker.
So, while perhaps less usual, it was chosen with the knowledge that it was very definitely a name used by people.
May I ask why you think that? (Sincere question, not meant to be snarky). Even assuming electric car assembly is simpler than an ICE powered car, there are still a lot of large, heavy, and expensive components. And that's setting aside all the regulations around it being a "street legal" vehicle, which can place odd constraints and vary from location to location.
I could see there being ways to build your own, just as you could build your own house or laptop if you acquire the right parts. What makes you think that people will broadly want and use kits? (or am I misinterpreting what you're saying?)
"Sample: 52% of the company's IMs were being sent between 6pm and midnight."
Sounded unbelievable to me! As it turns out, it's not true.
The author links to another of his articles that links to the Harvard Business Review paywalled article, but Microsoft has directly published the actual statistic behind this claim.
"Workplace Analytics data showed the share of IMs sent between 6 PM and midnight has increased by 52 percent on average."
Aside: for "unnecessary" trips, I'm setting aside the possibility of other options, such as "I already own a car and will now use that instead of paying 1 EUR".