Tags: machinelearning

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Thursday, March 1st, 2018

Fair Is Not the Default - Library - Google Design

Why building inclusive tech takes more than good intentions.

When we run focus groups, we joke that it’s only a matter of seconds before someone mentions Skynet or The Terminator in the context of artificial intelligence. As if we’ll go to sleep one day and wake up the next with robots marching to take over. Few things could be further from the truth. Instead, it’ll be human decisions that we made yesterday, or make today and tomorrow that will shape the future. So let’s make them together, with other people in mind.

Thursday, January 11th, 2018

Turning Design Mockups Into Code With Deep Learning - FloydHub Blog

Training a neural network to do front-end development.

I didn’t understand any of this.

Tuesday, January 9th, 2018

Trends in Digital Tech for 2018 - Peter Gasston

Peter looks into his crystal ball for 2018 and sees computers with eyes, computers with ears, and computers with brains.

Monday, June 12th, 2017

Design in the Era of the Algorithm | Big Medium

The transcript of Josh’s fantastic talk on machine learning, voice, data, APIs, and all the other tools of algorithmic design:

The design and presentation of data is just as important as the underlying algorithm. Algorithmic interfaces are a huge part of our future, and getting their design right is critical—and very, very hard to do.

Josh put together ten design principles for conceiving, designing, and managing data-driven products. I’ve added them to my collection.

  1. Favor accuracy over speed
  2. Allow for ambiguity
  3. Add human judgment
  4. Advocate sunshine
  5. Embrace multiple systems
  6. Make it easy to contribute (accurate) data
  7. Root out bias and bad assumptions
  8. Give people control over their data
  9. Be loyal to the user
  10. Take responsibility