Create 2022-05-19-wg-agenda.md

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+# WebML WG Teleconference – 19 May 2022 - 14:00-15:00 UTC
+
+<table>
+<tr><td> San Francisco (U.S.A. - California) <td> Thu, 19 May 2022 <td> 07:00 <td> UTC-7 hours
+<tr><td> Boston (U.S.A. - Massachusetts) <td> Thu, 19 May 2022 <td> 10:00 <td> UTC-4 hours
+<tr><td> London (United Kingdom - England) <td> Thu, 19 May 2022 <td> 15:00 <td> UTC+1 hours
+<tr><td> Berlin (Germany) <td> Thu, 19 May 2022 <td> 16:00 <td> UTC+2 hours
+<tr><td> Helsinki (Finland) <td> Thu, 19 May 2022 <td> 17:00 <td> UTC+3 hours
+<tr><td> Shanghai (China) <td> Thu, 19 May 2022 <td> 22:00 <td> UTC+8 hours
+<tr><td> Tokyo (Japan) <td> Thu, 19 May 2022 <td> 23:00 <td> UTC+9 hours
+<tr><td> Corresponding UTC (GMT) <td> Thu, 19 May 2022 <td colspan=2> 14:00 UTC
+</table>
+
+Other locations: https://www.timeanddate.com/worldclock/fixedtime.html?iso=20220519T14
+
+  </details>
+
+## Logistics
+
+* Chair: Anssi
+* Scribe: ? (see [howto](https://github.com/webmachinelearning/meetings/blob/main/scribe-howto.md), volunteers welcome!)
+* 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/2022/05/19-webmachinelearning-minutes.html
+
+
+#### ℹ️ WebNN API Candidate Recommendation - release vs. post-release scope
+
+>Review and discuss current CR issues. Identify any issues that may be appropriate to be addressed after the first CR release. Discuss CR expectations for "complete and fit for purpose".
+
+- Current CR issues https://github.com/webmachinelearning/webnn/issues?q=is%3Aissue+is%3Aopen+label%3Acr
+- W3C Process expectations for "complete and fit for purpose" https://www.w3.org/2021/Process-20211102/#ref-for-RecsCR%E2%91%A3
+
+#### ℹ️ Support asynchronous graph compilation
+
+- [ ] issue: Support asynchronous graph compilation https://github.com/webmachinelearning/webnn/issues/263
+
+#### ℹ️ WebNN API Ethical Considerations integration
+
+>Discuss on how to integrate mitigations to the WebNN API spec informed by the work done on the Ethical Principles for Web Machine Learning document. Agree on a Working Group Note publication plan for the Ethical Principles doc.
+
+- WebNN API Ethical Considerations https://www.w3.org/TR/webnn/#ethics
+- Ethical Principles for Web Machine Learning https://webmachinelearning.github.io/ethical-webmachinelearning/
+  - [ ] PR: Incorporate feedback from the Ethical ML workshops: https://github.com/webmachinelearning/ethical-webmachinelearning/pull/20
+- WG's commitment to ethics: https://www.w3.org/2021/04/web-machine-learning-charter.html#ig-other-deliverables
+
+
+#### ℹ️ WebNN API Privacy Review refresh
+
+>Agree on our approach to privacy review refresh for privacy-impacting changes since the previous review. What has changed since the initial review? Do these changes warrant an update to the self-review? Agree on our next steps.
+
+- [x] (Initial) Self-Review Questionnaire: Security and Privacy https://github.com/webmachinelearning/webnn/issues/119
+- [x] PING early privacy review response: https://github.com/webmachinelearning/webnn/issues/119#issuecomment-772565085
+
+#### ℹ️ WebGPU and WebGL WG review
+
+>Discuss WebNN / WebGPU interop and WebGPU review expectations and plan. Discuss WebNN / WebGL interop issues, if any in CR scope.
+
+- [ ] WebGPU issue: Investigation: WebNN / WebGPU interop https://github.com/gpuweb/gpuweb/issues/2500
+
+#### ℹ️ Open issues and pull requests
+
+> Discuss/resolve open issues and review open PRs pending review, time permitting.
+
+- Open issues: https://github.com/webmachinelearning/webnn/issues
+- Open PRs: https://github.com/webmachinelearning/webnn/pulls