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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?
Stop Pretending You Really Know What AI Is
“Artificial intelligence” is so broadly used that the phrase no longer has much practical meaning, bemoans John Pavlus at Quartz.
AI Guesses Whether You're Gay or Straight from a Photo
The algorithm could correctly distinguish between gay and straight men 81% of the time, and 74% for women.
Designing with Artificial Intelligence: The Dinosaur on a Surfboard
On the Presentable podcast, Josh Clark joins Jeff Veen to consider the role for designers in a world of algorithms and machine learning.
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.
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 the AI Age, “Being Smart” Will Mean Something Completely Different
In Harvard Business Review, [Ed Hess suggests][bmlink] that critical thinking and emotional engagement will become the most valued flavors of intelligence.
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.
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