Designing Human-Centered AI Products (Google I/O'19)

Want to learn how Google develops human-centered AI products-and how to avoid common AI-design pitfalls? The People+AI Research (PAIR) team will share insights from the new People+AI Guidebook, which has steered design and development over the past year. Through recommendations, frameworks, and examples, you’ll learn how to assess whether a problem is a good fit for ML, collect representative training data, and help users understand how to interact with AI systems.
Watch more #io19 here:
Design at Google I/O 2019 Playlist → goo.gle/2IUneqd
Google I/O 2019 All Sessions Playlist → goo.gle/io19allsessions
Learn more on the I/O Website → google.com/io
Subscribe to the Google Design Channel → goo.gle/GDesign
Get started at → design.google/
Speaker(s): Jess Holbrook, Kristie Fisher
T5D8B6 event: Google I/O 2019; re_ty: Publish; fullname: Jess Holbrook, Kristie Fisher;

[@GordonSchoenfeld]

Extremely insightful and useful! Excellent speakers. Thank you!

[@GordonSchoenfeld]

Wow, totally agree

[@gmeta2611]

Excellent. Thank you!!! Keep up the great work. Really!

[@CryptoAnimated]

I didn't ready the whole book, but I guess it might be missing GDPR related issues when collecting data

[@elisabettaa715]

For the google flight case, 1.Will it be helpful to review the flight companies algorithm first before building your own AI model? 2. To build " calibrated trust", maybe we need to remove the Aura that AI is kind of prophetic of human's decision making behaviours. Only if one day, when people share the same " thoughts" with AI, AI could predict. People should still trust themselves to make decisions, INNT?

[@subschallenge-nh4xp]

how do you get to this conclution, where did you see all those topics, asking respectfully ?

[@TechniqueNepal]

Thank you Google.

[@MerlinJupiter]

Lol 👾