Re: Machine Learning Workshop overview and talk update

I am available for review and discussion, if desired. My only scheduled appointment today is an hour-long meeting at 10am US eastern time.

From: Joshue O Connor <joconnor@w3.org>
Date: Thursday, July 2, 2020 at 08:30
To: Janina Sajka <janina@rednote.net>
Cc: public-apa@w3.org <public-apa@w3.org>
Subject: Re: Machine Learning Workshop overview and talk update


Janina Sajka<mailto:janina@rednote.net>
Thursday 2 July 2020 13:26
I'll spend some time on this in the next couple hours, Josh. Also able
to chat should that seem necessary.

Great, thanks Janina. I'll be around.

Josh


Best,

Janina

Joshue O Connor<mailto:joconnor@w3.org>
Thursday 2 July 2020 12:08
Hi Janina, Jason and all,

As per my action yesterday - I've added to the ML workshop document. [1]

Looking at the workshop  outline  they are asking for people to give a talk, and submission deadline is tomorrow if we want to do submit a proposal. At this stage it would only need to be a paragraph, and we would have till the end of July to submit the recorded talk. The question is, what is the APA angle?

This draft paper is really just me riffing on the subject and if there are other perspectives then we should try to capture those today. I do think the questions raised are useful, but some seem over taken by events, as there are already implementations of ML in image recognition and automated testing. I've also touched on the issue of bias, which is very important.

Do we want to give a talk to ask the questions we outline on the wiki or talk about something else - if so what do we want to say and who should give it?

I'm kinda looking at you or Jason for this *grin, but happy to discuss me doing it if I'm clearer on the angle. Tbh, I'm not totally sure at this point and have taken it as far as I can.

I feel it needs a clearer focus, so I'm happy to hear from others.

Josh

[1] https://www.w3.org/WAI/APA/wiki/MLWorkshop2020<https://nam01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.w3.org%2FWAI%2FAPA%2Fwiki%2FMLWorkshop2020&data=02%7C01%7Cjjwhite%40ets.org%7Ca7f54882cffa49bb7ac208d81e83aebf%7C0ba6e9b760b34fae92f37e6ddd9e9b65%7C0%7C0%7C637292898216624433&sdata=Xw7Xusm0uuxnWAQHUf2NmeQUp2dTay%2Fozv8zXmrCh5Q%3D&reserved=0>


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Emerging Web Technology Specialist/Accessibility (WAI/W3C)

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