3 Matching Annotations
  1. Apr 2021
    1. are so often surprised to learn that their “intelligent technologies” are not so intelligent after all. (

      This brings up the question of the treatment of ethicists at google. Is the system willing to change if it actively pushes out members of minorized groups pointing out issues?

    2. This often means asking uncomfortable questions: who is doing the work of data science (and who is not)? Whose goals are prioritized in data science (and whose are not)? And who benefits from data science (and who is either overlooked or actively harmed)?

      I would also add "Who does the work?"

    3. Examining power means naming and explaining the forces of oppression that are so baked into our daily lives—and into our datasets, our databases, and our algorithms—that we often don’t even see them. .d-undefined, .lh-undefined { background-color: rgba(0, 0, 0, 0.2) !important; }.d-undefined, .lh-undefined { background-color: rgba(45, 46, 47, 0.5) !important; }1Sarah Wu

      I keep thinking about the increasingly complex datasets of information gathered about us in various ways. If you're a relatively privileged person, they're often hard to notice until you've been served an ad that seems both related to your interests, based on statistics but unrelated to your reality.