Podcast #34: Ben Green on Smart Enough Cities
Data technology researcher and author Ben Green punctures the myth of the smart city.
Category: Prediction
When Developers Can’t Explain Their AI, Laws No Longer Apply
The hows and whys of the decisions of machine-learning algorithms are increasingly opaque, even to their programmers. That makes laws and norms increasingly difficult to apply.
New AI Paper Warns of Malicious Intent
A new report on AI examines what might happen when bad actors deliberately misuse the technology. Despite its importance, politicians may not be paying attention.
The Problems of Prediction, Part 2
Our overconfidence in our predictive abilities can be traced to the simple fact that the universe is infinitely complex.
The Problems of Prediction, Part 1
Our technological mindset makes us more inclined to predict and gather ever-more data in service of prediction. We misunderstand the information we have, can’t know the information we don’t have, and yet we are more confident than ever.
Podcast #14: Cathy O’Neil on the problem of algorithms
Mathematician Cathy O’Neil shares her insider’s look at how algorithms are gaming our world, with terrible consequences for those who can least afford them.
The Suicide Algorithm: Facebook’s Self-Appointed Role in Mental Health
Facebook’s invasive attempts to identify suicidal individuals, while collecting revenue from advertisers targeting them, may do more harm than good.
With Software, Employers Get Shifty
Employers have let algorithms dictate how much and when their employees work—or don’t. Recently, there has been pushback.
A&Q: Search’s New World Order
Online search has already been framing the way we look at the world. Now it’s starting to anticipate what we’re looking for.
