41–50 of 160 posts
tl;dr OP accidentally left a survey unfinished for the client, this a dispute was made. OP completed survey, client was okay to pay, but OP hadn't logged hours with always-on webcam thus money was refunded to client.
> the dataset contained ... demographic attributes like race ... to predict actual work performance Regardless of the original intent, that's a request to launder a protected class into an opaque "work performance" metric. Also, while they are not on the unfortunately short list of protected classes, using demographics like age is probably going to create similar discrimination problems. If you want to know about job…
Maybe the lesson here is that people doing unethical things will take the opportunity to do more unethical things, like not pay you, and it may well be in your self interest to apply your ethics when choosing a job? Upwork doesn't look great here, but seems like it's hardly the whole problem.
> the dataset contained ... demographic attributes like race ... to predict actual work performance Regardless of the original intent, that's a request to launder a protected class into an opaque "work performance" metric. Also, while they are not on the unfortunately short list of protected classes, using demographics like age is probably going to create similar discrimination problems. If you want to know about job…
Excellent point! Isn't age a protected class though? At least in the US, discrimination over 40 is covered by the EEOC.
Grrr... or that's what they, and probably the courts, would say.
The OP calling it "discrimination laundering" had it right.
Long term upwork Data Scientist here. It seems he had a bad experience, that could have happened on any other place / platform. There are always horror stories about how platforms deal with conflicts (think PayPal, Stripe, Uber...) Out of >30 contracts I had, only 1 resulted in a dispute, and it was decided in my favor. I do agree the whole monitoring thing is absurd and I generally don't take jobs from clients that…
> the dataset contained ... demographic attributes like race ... to predict actual work performance Regardless of the original intent, that's a request to launder a protected class into an opaque "work performance" metric. Also, while they are not on the unfortunately short list of protected classes, using demographics like age is probably going to create similar discrimination problems. If you want to know about job…
Earlier quoted context omitted.
UpWork doesn't do filming using your camera, only takes a picture every ~10 minutes. Also the picture taking is optional and can be disabled by client (Throughout 1 year working on UpWork I never had a project which required of me the camera bit). The screenshot taking is required for payment protection.
> UpWork doesn't do filming using your camera, only takes a picture every ~10 minutes. And how can I, the person being filmed, verify that?
Isn't this site for nerds?
Earlier quoted context omitted.
UpWork doesn't do filming using your camera, only takes a picture every ~10 minutes. Also the picture taking is optional and can be disabled by client (Throughout 1 year working on UpWork I never had a project which required of me the camera bit). The screenshot taking is required for payment protection.
> UpWork doesn't do filming using your camera, only takes a picture every ~10 minutes. And how can I, the person being filmed, verify that?
I think the way to know that your camera is on is to look at the little LED next to your camera and hoping UpWork didn't find a way around it.
> the dataset contained ... demographic attributes like race ... to predict actual work performance Regardless of the original intent, that's a request to launder a protected class into an opaque "work performance" metric. Also, while they are not on the unfortunately short list of protected classes, using demographics like age is probably going to create similar discrimination problems. If you want to know about job…
If you think it is not possible for race be related to job performance you must not have watched much NBA basketball.
> the dataset contained ... demographic attributes like race ... to predict actual work performance Regardless of the original intent, that's a request to launder a protected class into an opaque "work performance" metric. Also, while they are not on the unfortunately short list of protected classes, using demographics like age is probably going to create similar discrimination problems. If you want to know about job…
If you think it is not possible for race be related to job performance you must not have watched much NBA basketball.
There's a difference between acknowledging some correlations, and using them as statistical tools in the job market. The latter is thankfully illegal or at least frowned upon.