Speaking topic

AI pointed at health, mental health and accessibility

The work behind the TED talk. Where machine learning is pointed at problems in health, mental health and accessibility, what that changes about how you build, and what it demands of the people building it.

TED@IBM, 2017

The room

Healthcare and public sector audiences, purpose-led conferences, universities, and any programme with a social impact track.

Formats
Conference keynote, TED style talk, Masterclass, University session
On this subject
2 talks you can watch
Shaped to you
Written for your audience and your programme

What it covers

The beats of the talk

Rewritten for each audience, so the order and the examples change. These are the subjects it covers.

Starting from the person

What changes about a project when the outcome is somebody's day, measured before the metric.

Accessibility as an engineering problem

Work on communication and access, and what it taught him about designing for people the default case ignores.

The responsibility that comes with it

Where the stakes are highest and where the temptation to overclaim is strongest.

Why him

This is the subject of his TED@IBM talk and of his TEDxCincinnati talk, both public and both linked on this site.

On this subject

Watch him give it

Questions

What organisers ask about this one

He speaks to the projects that are public and documented. He does not present private or clinical work, and he will tell you in advance exactly which examples the talk uses.

Yes. It is the talk that travels furthest outside technical rooms, and it is the one most often programmed as an opening or closing keynote.

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Tanmay replies himself, availability first.

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