algorithms
sentient design
AI First—with UX
AI assistants have trouble understanding user context, Mike Loukides writes, and that’s a tasty UX problem.
algorithms
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.
algorithms
In the AI Age, “Being Smart” Will Mean Something Completely Different
In Harvard Business Review, Ed Hess suggests that critical thinking and emotional engagement will become the most valued flavors of intelligence.
ai
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.
data
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.
sentient design
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.
algorithms
Social Cooling
Tijmen Schep coins a phrase to describe the chilling effect of the reputation economy on the expression and exploration of ideas.
algorithms
How Germany’s Otto Uses Artificial Intelligence
Machine learning is trying to one-up just-in-time inventory with what can only be called before-it’s-time inventory.
ai
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
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
“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.
algorithms
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.
google
Not OK, Google
As Google tries to become more discerning about “authoritative” sources, the search giant reinforces its power and influence.
bots
The Humans Hiding Behind the Chatbots
Bloomberg peeks in on the tedious worklife of humans pretending to be robots pretending to be humans.
bots
Facebook’s Perfect, Impossible Chatbot
Facebook is prototyping its omniscient bot by powering it with people, the MIT Technology Review reports.
sentient design
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.
sentient design
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.
ai
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.