Coded Bias

Only flaw is that it didn't come out earlier than 2020. It's a must-watch if you have a brain in your skull, ignore all the babynazis flooding the reviews with their abominable screeching.

This was a good documentary making points we should all keep in mind.

And the main point is that increasing what would have been called beta code even 10 years ago is being pushed out as production ready. As she pointed out with IBM once she pointed out the issue to IBM with their face recognition AI they added examples to their training set and increased accuracy across the board. But that indicates it was not properly tested in the first place. That argues for a more inclusive IT staff and better QA. So that shows their first argument against some merit but could be fixed without much difficulty. So the solution ought to be to fix not ban.

The second argument of what if our government becomes like China is flawed as well. The face recognition AIs are going going to get better even if we do not work on them here someone will. Anything useful can also be used as a weapon. So if the government does want to use face recognition they will just get it. Probably better to have a known working system than one bought hasily and rushed into place.

It is odd to they barely mention any AI or ML outside of face recognition despite face recognition being a small part of what is out there.

All in all might be good to get you to started on research of your own but mostly misdirected furry.

This information being brought to the fore on this documentary is incredibly informative and useful to know. Everyone using face recognition on their phone or anywhere, or that have a smartphone, apps, technology need to know how companies are using data.

Interesting how the information was discovered to begin with... and to me it was a bit shocking that it was not entirely intentional a discovery. But a discovery nonetheless.

I'd love to see this documentary delve into the use for employment platforms and their algorithms too. The documentary showcases how employment platforms may be removing candidates that have gone to certain universities or that participated in certain organizations, etc. (But then say they can't find "qualified" candidates? Yet, look at unemployment stats...)

The bad reviews probably have vested interests and don't want people to know, or maybe are biased themselves? Either way....

Don't let that deter from watching how your information is gathered and used by technology today and in the future to come.

There is currently a big lack in regulation as AIs are being employed, so it's sort of a free for all until there's proper oversight.

Is this the new way of discrimination that people don't even know is happening? Maybe.. but the documentary just touches the surface on what and how tech is and can be used and that there is desperate need for oversight and regulation.

Must watch!! PLEASE educate yourself, you deserve to know this information.

Algorithms are not magical systems. At their core they are simply data. Feed your programs with rubbish or incomplete data sets, and you'll get rubbish or inaccurate outputs. What surprises me is not that this is happening with programs like facial recognition software; what surprises me is that the basics taught in any beginning programming class are somehow forgotten.

That said, this documentary feels incomplete. It seems to be one-sided, with lots of interviews with people who are against the use of AI.

But while the film-makers do an ok job of highlighting the dangers and inadequacies of AI systems such as facial recognition software, they failed to show what really is behind these glaring.blunders - was it some kind of knowing omission meant to create more biases, was it a case of software engineers creating something that they themselves don't understand and thus making a mess of things, or was it simply incompetence.on the part of many involved?

Who knows. And that's the problem with this film.