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Paula Stenholm

Paula Stenholm – I’m a product designer, a writer wannabe, an absolute nerd, a feminist and a mother. I’m trying to fight the equality fight through my work and within my field. When I’m not designing or writing, I’m either changing diapers, feeding, or reading about something mind blowing.

AI is getting better and better — at being biased.

  • Artificial Intelligence, Behavioral Science, Defining AI, Design, Design Theory, Empathy, Usability, UX Education, UX Magazine

Historically, the values of gender-caste-based minority have been systematically excluded from even being tallied, resulting in gender-biased or gender-invisible prior statistics.

Article by Paula Stenholm
IDEAS IN BRIEF
AI is getting better and better — at being biased.
  • The values of gender-caste-based minority have been systematically excluded from even being tallied, resulting in gender-biased or gender-invisible prior statistics.
  • Data scientists have said that there are two main ways that AI perpetuates gender bias: one is caused by Algorithmic and design flaws and the other is the reinforcement of gender stereotypes through new digital products that project a technological gender.
  • Paula Stenholm, a user experience designer at Ellos Group, gives a lot of reasons why datasets are skewed:
    • Real world patterns of health inequality and discrimination
    • Discriminatory data
    • Application injustices
    • Biased AI design and deployment practices
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