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Design in the Era of the Algorithm
Machine learning is technology’s new frontier, and designers have a crucial part to play. Josh Clark explores our new roles and responsibilities when we design for the machines.
Toy Story Lessons for the Internet of Things
Dan Gärdenfors ponders how to handle “leadership conflicts” in IoT devices.
AI First—with UX
AI assistants have trouble understanding user context, Mike Loukides writes, and that’s a tasty UX problem.
Making Software with Casual Intelligence
Evan Prodromou observes that artificial intelligence may have the most impact in jillions of incremental little interventions and improvements, not just moonshot projects.
In a Few Years, No Investors Are Going To Be Looking for AI Startups
VC Frank Chen writes that machine learning and artificial intelligence will be the humdrum norm in short order.
So We Redid Our Charts…
Video analytics provider Mux overhauled their data visualizations and shared the process.
Google Will No Longer Scan Gmail for Ad Targeting
…but the New York Times reminds that Google will continue reading your email for other purposes.
Tijmen Schep coins a phrase to describe the chilling effect of the reputation economy on the expression and exploration of ideas.
The Rise of Artificial Intelligence: How AI Will Affect UX Design
Adobe profiled and interviewed Big Medium’s Josh Clark about the opportunities and challenges facing UX designers in a world of machine learning and artificial intelligence.
How Germany’s Otto Uses Artificial Intelligence
Machine learning is trying to one-up just-in-time inventory with what can only be called
“Algorithms Aren’t Racist. Your Skin Is Just Too Dark.”
Joy Buolamwini surfaces bias in facial recognition software—and responds to some screwed-up criticism.
No Need for Alarm About How Neural Nets Work
Albert Wenger says it doesn’t matter if we can’t understand or audit the logic of the algorithms that run our lives.
Facebook’s Perfect, Impossible Chatbot
Facebook is prototyping its omniscient bot by powering it with people, the MIT Technology Review reports.
Our Machines Now Have Knowledge We’ll Never Understand
In Backchannel, David Weinberger considers the implications of machines constructing their own models for understanding data, quite divorced from our own (more simplistic) models.
Algorithm-Driven Design: How AI is Changing Design
Designer Yury Vetrov collected a wide-ranging set of design projects and tools where bots are the designers.
The Dark Secret at the Heart of AI
MIT Technology Review covers the unknowable logic of our most sophisticated algorithms—and the implications of having no idea how they actually work.
Google Launches New Effort To Flag Upsetting or Offensive Content in Search
Search Engine Land reports that its 10,000 human reviewers will start flagging offensive content in an effort to train the algorithm what hate speech looks like.
Federated Learning: Collaborative Machine Learning without Centralized Training Data
Google has begun offloading some of its machine learning to mobile devices to keep your private data… private.
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