I look forward to the papers on how to slack off on your job while the AI classifies you as "a straight shooter with upper management written all over him". Possible title: "An adversarial approach to the TwoBobs Productivity Classifier"
(/s if this was not clear)
I’ve been pitched the TwoBobs Productivity Classifier.
My feedback was anyone who needs it has classified themselves as an unproductive dev manager.
I suggested the concept be made available as being by devs, for devs, purposed as a personal coach, with no uplink to the mothership.
Ah yes, the classic "foot in the door" approach. Despite all the good intentions behind it, it still would end badly.
All of the dystopic news stories of WFH employees being subject to monitoring are invariably from fungible employees.
I haven't heard of this happening at all.
Whereas it is commonplace for people to use time-tracking software (like Toggl, RescueTime, etc) - and it is also not-uncommon for companies to require employees to use such software (software-eng or otherwise) for the purposes of reporting their time/hours/what-they're-doing, they all have web-based UIs for doing data-entry: which is definitely not the same thing as installing monitoring software on an employees' own personal hardware with or without their informed consent and it being a condition of employment.
I think people are getting terms-conflated and using overloaded terms with negative connotations: "time tracking software" which does active-software-application-window-tracking for the benefit of the direct user can easily be mischaracterized as "monitoring software".
Interestingly, I'd much prefer Microsoft's algorithms classifying me as productive or unproductive, based on how I code - while there's a lot to be said for different patterns of work being equally productive, I trust Microsoft to implement the same heuristics across the board, and not take a look at my gender and race and make assumptions about me based on that.
(Of course, since the ML data of productivity will come from nearly entirely white males, if it's only available to github enterprise cloud subscribers, then the ML data will be pretty biased as it is. Guess discrimination is inevitable!)
even if you are paying for it, it's quite possible that they also have other revenue sources that conflict with your interests.
Or refuse to use software that requires you to agree to long and confusing terms and conditions.
These things are always deployed against the least powerful first.
Back in the day the boss would be right there with you in the store etc and could watch you all the time.
Or maybe this will be something that really only shows up in china etc? I think they are a bit further along on some of these types of things.
Just this week was a big story about how a call center provider (used by Apple and others) was forcing employees to install cameras in their own homes to monitor their remote work: https://www.nbcnews.com/tech/tech-news/big-tech-call-center-...
https://www.zdnet.com/article/gdpr-german-laptop-retailer-fi...
€10M fine for keeping employees under video surveillance for no good reason.
This is an example showing that there are limits to employee surveillance on-site.
One approach would be to monitor what management considers productive / successful employees and also on employees who have gone on PIP's - then train the AI on that data set. You'd then be able to drive various alerts to manager and HR dashboards (ie, if a manager was failing to address alerts / manager their team it would be surfaced up a level).
Dystopia may be coming indeed. Remember, usually the key issue is not if product is a paid product, but are YOU paying for it. If not - someone else is the revenue source, and Microsoft et al will serve them. Maybe the individual licenses will not have this "management" layer add-on as an option.
But I think a very real chance of something like this occurring! If not right now eventually. In Sci-fi this is an inevitability (monitored through a smart watch or something etc).