Rezultati pretraživanja
  1. 13. pro 2019.
  2. 13. pro 2019.
  3. 12. pro 2019.

    Inspired by participatory design, is an approach to building systems that actively involves a diversity of stakeholders. Check out some talks from the recent Symposium, which took place in the Google London office.

  4. . distinguishes btwn intelligibility + explainability: Explanations can be explicit means of helping user understand a system; intelligibility can be understood through explanations, as well as user interactions with the system

  5. . : "Explanations [in ML] goes two ways—in terms of what the machine conveys to the user to be intelligible, and how we meaningfully convey user feedback back into the model."

  6. . on the value of speculative design for helping us understand systemic implications over time

  7. 14. stu 2019.

    "May be we are at the point of the copernican-scale break in our culture?" asks at the

  8. 14. stu 2019.
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  9. 14. stu 2019.

    just kicked off with a welcome note from ! Join us in this discussion about AI and via livestream 💻 ➡️ – mjesto: Google UK

  10. 2 more days before the event starts! We will be live streaming it on , so join us on Thursday to talk about participatory machine learning

  11. On Nov. 14th we'll be live at the to discuss transparency in AI & . Want to get involved? 💬 Join the conversation by tweeting questions to Google speakers 💻 Watch the livestream->

  12. 1. stu 2019.

    🧐 What are you curious to learn about in AI? 👩🏻‍💻🔭📏⚖️ 1 more day to participate in the poll below ⬇️✍️📊

  13. Machine Learning has been on many lips for a while now, in college courses, in the media, in products. Do you know what it is? What do you want to know about it?

  14. 1. stu 2019.

    Curious about AI and machine learning? Share what you want to know. What do you most want to learn about machine learning?

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