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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?
The Pop-Up Employer: Build a Team, Do the Job, Say Goodbye
Noam Scheiber reports on algorithms that seek to build an entire organization for you with a click.
The BBQ and the Errant Butler
Marek Pawlowski shares a tale of a dinner party taken hostage by a boorish Alexa hell-bent on selling the guests music.
AI First—with UX
AI assistants have trouble understanding user context, Mike Loukides writes, and that’s a tasty UX problem.
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.
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.
Melinda Gates and Fei-Fei Li Want to Liberate AI from “Guys With Hoodies”
“AI is about to make the biggest changes to humanity, and we’re missing a whole generation of diverse technologists and leaders.”
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 Surprising Repercussions of Making AI Assistants Sound Human
Wired’s Elizabeth Stinson considers whether we really want human personality from our bots—or whether it’s just unhelpful misdirection.
The Machine Learning Paradox
Mike Loukides explains why predictive algorithms must be imperfect (and error prone) in order to contend with real-world data.
“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.
The Future of the UX Designer
Designer Anton Sten ponders the future role of digital designers in a world of more and more Alexas, Siris, and other non-visual interfaces.
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.
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.
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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