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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.
Systems Smart Enough To Know When They're Not Smart Enough
Google and others offer wrong answers with matter-of-fact authority. How can designers build stronger signals of trust into data-driven interfaces?
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.
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.
The Future of AI Needs To Have More People in It
UC Berkeley’s Anca Dragan says algorithms need to get better at understanding human needs and behaviors.
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
The Machine Learning Paradox
Mike Loukides explains why predictive algorithms must be imperfect (and error prone) in order to contend with real-world data.
If Google Teaches an AI to Draw, Will That Help It Think?
Alexis Madrigal considers the creative future of machine-generated sketches—and what it teaches us about how humans think, too.
“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.
Not OK, Google
As Google tries to become more discerning about “authoritative” sources, the search giant reinforces its power and influence.
The Humans Hiding Behind the Chatbots
Bloomberg peeks in on the tedious worklife of humans pretending to be robots pretending to be humans.
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.
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