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Twitter's AI ethics researchers on getting public feedback about algorithmic bias, why responsible AI is hard, why they think algorithms can be saved, and more

While other tech giants hide from their internal researchers, Twitter is doing its failing — and fixing — in public

Platformer Casey Newton

Discussion

  • @hkanji Hussein Kanji on x
    “Twitter was the first time that I was actually able to work at an organization that was visible and impactful enough to do this, and also ambitious enough to fund it” https://www.platformer.news/ ...
  • @sherryaske Sherry Aske on x
    When it comes to algorithms, it's not that simple. Great piece by Platformer's @CaseyNewton : https://www.platformer.news/ ... #BigTech #Algorithms
  • @platformer @platformer on x
    For all followers today: - How Twitter got research right - While other tech giants hide from their internal researchers, Twitter is doing its failing — and fixing — in public - Good tweet about bowling alleys https://www.platformer.news/ ...
  • @jackbandy Jack Bandy on x
    “Twitter is trying” 👆 After interning here for 7 weeks, this has been my observation as well! https://twitter.com/...
  • @tanit Tanit Koch on x
    “The research found that in six out of seven countries, apart from Germany, tweets from right-wing politicians received more amplification from the algorithm than those from the left; right-leaning news organisations were more amplified than those on the left.” #foodforthought ht…
  • @caseynewton Casey Newton on x
    What if tech companies didn't fire their ethical AI researchers or hide from their findings? Twitter is trying! I spoke with @ruchowdh and @williams_jutta about how it's going — and about what we want The Algorithm to do https://www.platformer.news/ ... https://twitter.com/...