• 0 Posts
  • 110 Comments
Joined 11 months ago
Cake day: July 2nd, 2023
  • techt@lemmy.worldtoNews@lemmy.world•TRUMP GUILTY ON ALL 34 COUNTS
    30·
    3 days ago

    I’m here to support.

    Count #1: Guilty

    Count #2: Guilty

    Count #3: Guilty

    Count #4: Guilty

    Count #5: Guilty

    Count #6: Guilty

    Count #7: Guilty

    Count #8: Guilty

    Count #9: Guilty

    Count #10: Guilty

    Count #11: Guilty

    Count #12: Guilty

    Count #13: Guilty

    Count #14: Guilty

    Count #15: Guilty

    Count #16: Guilty

    Count #17: Guilty

    Count #18: Guilty

    Count #19: Guilty

    Count #20: Guilty

    Count #21: Guilty

    Count #22: Guilty

    Count #23: Guilty

    Count #24: Guilty

    Count #25: Guilty

    Count #26: Guilty

    Count #27: Guilty

    Count #28: Guilty

    Count #29: Guilty

    Count #30: Guilty

    Count #31: Guilty

    Count #32: Guilty

    Count #33: Guilty

    Count #34: Guilty

  • techt@lemmy.worldto196@lemmy.blahaj.zone•This is Fine Rule
    5·
    5 days ago

    I dug in (thanks for linking sources) and there are some promising details. The ~80% figure for the US is from a 2011 report (even though the citation states 2014…), so it’s very old. In 2019, the US began an initiative to increase awareness of this issue and address it, see the progress here (pdf link).

    Not trying to counter the narrative, but at least we’re talking about it on the federal level, so maybe that can provide some optimism to people.

  • techt@lemmy.worldtoTechnology@lemmy.world•UK Woman Mistaken As Shoplifter By Facewatch, Now She's Banned From All Stores With Facial Recognition TechEnglish
    4·
    5 days ago

    Thanks for the response! It sounds like you had access to a higher quality system than the worst, to be sure. Based on your comments I feel that you’re projecting the confidence in that system onto the broader topic of facial recognition in general; you’re looking at a good example and people here are (perhaps cynically) pointing at the worst ones. Can you offer any perspective from your career experience that might bridge the gap? Why shouldn’t we treat all facial recognition implementations as unacceptable if only the best – and presumably most expensive – ones are?

    A rhetorical question aside from that: is determining one’s identity an application where anything below the unachievable success rate of 100% is acceptable?

  • techt@lemmy.worldtoTechnology@lemmy.world•UK Woman Mistaken As Shoplifter By Facewatch, Now She's Banned From All Stores With Facial Recognition TechEnglish
    8·
    6 days ago

    Can you please start linking studies? I think that might actually turn the conversation in your favor. I found a NIST study (pdf link), on page 32, in the discussion portion of 4.2 “False match rates under demographic pairing”:

    The results above show that false match rates for imposter pairings in likely real-world scenarios are much higher than those from measured when imposters are paired with zero-effort.

    This seems to say that the false match rate gets higher and higher as the subjects are more demographically similar; the highest error rate on the heat map below that is roughly 0.02.

    Something else no one here has talked about yet – no one is actively trying to get identified as someone else by facial recognition algorithms yet. This study was done on public mugshots, so no effort to fool the algorithm, and the error rates between similar demographics is atrocious.

    And my opinion: Entities using facial recognition are going to choose the lowest bidder for their system unless there’s a higher security need than, say, a grocery store. So, we have to look at the weakest performing algorithms.