Podcast #34: Ben Green on Smart Enough Cities
Data technology researcher and author Ben Green punctures the myth of the smart city.
Data technology researcher and author Ben Green punctures the myth of the smart city.
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.
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.
Our overconfidence in our predictive abilities can be traced to the simple fact that the universe is infinitely complex.
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.
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.
Facebook’s invasive attempts to identify suicidal individuals, while collecting revenue from advertisers targeting them, may do more harm than good.
Employers have let algorithms dictate how much and when their employees work—or don’t. Recently, there has been pushback.
Online search has already been framing the way we look at the world. Now it’s starting to anticipate what we’re looking for.