WebML WG Teleconference – 16 December 2021 - 15:00-16:00 UTC+0

WebML WG Teleconference – 16 December 2021 - 15:00-16:00 UTC+0
See the timezone table ...
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2021-12-16-agenda.md#logistics>Logistics

  *   Chair: Anssi
  *   Scribe: ?
  *   IRC: irc://irc.w3.org:6667/#webmachinelearning

  *   IRC web client: https://irc.w3.org/?channels=#webmachinelearning

  *   Call-in details: https://lists.w3.org/Archives/Member/internal-webmachinelearning/2020Apr/0000.html

  *   Minutes: https://www.w3.org/2021/12/16-webmachinelearning-minutes.html


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<https://github.com/webmachinelearning/meetings/blob/main/telcons/2021-12-16-agenda.md#agenda>Agenda
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2021-12-16-agenda.md#%E2%84%B9%EF%B8%8F-announcements>ℹ️ Announcements

Given the recent progress with the Model Loader API, we plan to restart WebML Community Group meetings early 2022, Sydney friendly timeslot, respond to the poll by 15 Dec 2021: https://doodle.com/poll/arstwzhv6ew6t36p


Model Loader API Intent to Prototype in Chromium: https://groups.google.com/a/chromium.org/g/blink-dev/c/w7Oq2_x2D8U/m/8BhYLGCIBwAJ


<https://github.com/webmachinelearning/meetings/blob/main/telcons/2021-12-16-agenda.md#%E2%84%B9%EF%B8%8F-tpac-meeting-follow-up-contd>ℹ️ TPAC meeting follow-up (cont'd)

We had a broad range of exciting discussion at TPAC with guest appearances. Thank you all for your contributions!

Let's reflect on our TPAC meeting learnings and discuss what next steps the group should take informed by these new insights and perspectives.

TPAC agenda: https://github.com/webmachinelearning/meetings/issues/18


TPAC minutes: Day 1<https://www.w3.org/2021/10/26-webmachinelearning-minutes.html>, Day 2<https://www.w3.org/2021/10/27-webmachinelearning-minutes.html>, Day 3<https://www.w3.org/2021/10/28-webmachinelearning-minutes.html>

Below are some questions and proposals that emerged from our discussions. Further suggestions are welcome.

<https://github.com/webmachinelearning/meetings/blob/main/telcons/2021-12-16-agenda.md#%E2%84%B9%EF%B8%8F-ethical-issues-in-using-machine-learning-on-the-web>ℹ️ Ethical issues in using Machine Learning on the Web

  *   Recap literature study findings, TAG Ethical Web Principles applied to the group's work
     *   https://webmachinelearning.github.io/ethical-webmachinelearning/#ethical-frameworks

     *   https://webmachinelearning.github.io/ethical-webmachinelearning/#ethical-web-principles

  *   Discuss/identify key themes: bias, privacy, explainability and transparency
  *   Brainstorm how browsers could do good e.g. mediate/facilitate bias identification and mitigation, enable models used for malicious content identification etc. bring your ideas!
  *   Call to connect with experts in ethics to contribute to this work

<https://github.com/webmachinelearning/meetings/blob/main/telcons/2021-12-16-agenda.md#%E2%84%B9%EF%B8%8F-webnn-issues-review>ℹ️ WebNN issues review

  *   Discuss GH issues brought up by participants: https://github.com/webmachinelearning/webnn/issues

     *   Integration with real-time video processing https://github.com/webmachinelearning/webnn/issues/226

     *   Should restrict the sync APIs to only exist in Workers? https://github.com/webmachinelearning/webnn/issues/229

     *   Should WebNN support async APIs? https://github.com/webmachinelearning/webnn/issues/230