WebML WG Teleconference – 2 December 2021 - 15:00-16:00 UTC+0

WebML WG Teleconference – 2 December 2021 - 15:00-16:00 UTC+0
See the timezone table ...
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2021-12-02-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/2021/12/02-webmachinelearning-minutes.html


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<https://github.com/webmachinelearning/meetings/blob/main/telcons/2021-12-02-agenda.md#agenda>Agenda
<https://github.com/webmachinelearning/meetings/blob/main/telcons/2021-12-02-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/2021-12-02-agenda.md#%E2%84%B9%EF%B8%8F-conformance-testing-of-webnn-api>ℹ️ Conformance testing of WebNN API

  *   Discuss practical aspects of a reference implementation for the WebNN API to establish an ideal baseline
  *   Discuss WebNN API web-platform-tests changes informed by DirectML conformance work (presentation slides<https://lists.w3.org/Archives/Public/www-archive/2021Oct/att-0017/Conformance_Testing_of_Machine_Learning_API.pdf>)
  *   Review initial IDL tests, suggest next steps: https://github.com/web-platform-tests/wpt/labels/webnn

<https://github.com/webmachinelearning/meetings/blob/main/telcons/2021-12-02-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/2021-12-02-agenda.md#%E2%84%B9%EF%B8%8F-model-loader-api-update>ℹ️ Model Loader API update

  *   Discuss revised explainer with updated goals, non-goals, design discussion: https://github.com/webmachinelearning/model-loader/blob/main/explainer.md

  *   Review API changes, data structures and API surface shared with WebNN
  *   Implementation update, prototype scope, open issues etc.
  *   Model formats discussion: TF Lite flat buffer format experiment, multiple model formats support proposal

<https://github.com/webmachinelearning/meetings/blob/main/telcons/2021-12-02-agenda.md#%E2%84%B9%EF%B8%8F-webnn-issues-review>ℹ️ WebNN issues review

  *   Time permitting, discuss GH issues brought up by participants: https://github.com/webmachinelearning/webnn/issues