Archive (Page 2 of 4)

Auditing Algorithms

I consider myself to be an algorithm auditor. So what does that mean? Well, I’m inherently a suspicious person. When I start interacting with a new service, or a new app, and it appears to be doing something dynamic, I immediately been begin to question what is going on inside the black box, right? What is powering these dynamics? And ultimately what is the impact of this?

Reverse Engineering the Brain

I suspect that when many of you think about neuroscience, the first things that come to mind are medical applications: mental disorders, pharmaceuticals. But what I’m going to try and argue today is that the stakes are much greater in the year 2015.

How an Algorithmic World Can Be Undermined

All they have to do is write to journalists and ask questions. And what they do is they ask a journalist a question and be like, “What’s going on with this thing?” And journalists, under pressure to find stories to report, go looking around. They immediately search something in Google. And that becomes the tool of exploitation.

What Algorithms Taught Me About Forgiveness

I decided I wanted to do some accountability studies about algorithms in our lives. And it’s hard to study the newsfeed in a quantitative way, and I also wanted something with higher stakes. So I started with an algorithm that is used in the criminal justice system to predict whether a person is likely to commit a future crime.

Artificial Intelligence is Hard to See: Social & Ethical Impacts of AI

The big concerns that I have about artificial intelligence are really not about the Singularity, which frankly computer scientists say is…if it’s possible at all it’s hundreds of years away. I’m actually much more interested in the effects that we are seeing of AI now.

Big Data Bodies: Machines and Algorithms in the World

I’m interested in data and discrimination, in the things that have come to make us uniquely who we are, how we look, where we are from, our personal and demographic identities, what languages we speak. These things are effectively incomprehensible to machines. What is generally celebrated as human diversity and experience is transformed by machine reading into something absurd, something that marks us as different.

Ethical Machines episode 3: Alex J. Champandard and Gene Kogan

For any artists that are working in this field now, if I was good at painting I’d probably be looking at how to find styles that work well with these kind of representations and make them easily automatable or transferable so that if I had fans as an artist they could say, “Hey, I would like to have a picture of my cat painted.”

Are We Living Inside an Ethical (and Kind) Machine?

This is a moment to ask as we make the planet digital, as we totally envelop ourselves in the computing environment that we’ve been building for the last hundred years, what kind of digital planet do we want? Because we are at a point where there is no turning back, and getting to ethical decisions, values decisions, decisions about democracy, is not something we have talked about enough nor in a way that has had impact.

Sleepwalking into Surveillant Capitalism, Sliding into Authoritarianism

We have increasingly smart, surveillant persuasion architectures. Architectures aimed at persuading us to do something. At the moment it’s clicking on an ad. And that seems like a waste. We’re just clicking on an ad. You know. It’s kind of a waste of our energy. But increasingly it is going to be persuading us to support something, to think of something, to imagine something.

The Algorithmic Spiral of Silence

A couple of major platforms like Facebook and Twitter, YouTube, have become in many places around the world a de facto public sphere. Especially in countries that have less than free Internet, less than free mass media. And these countries have transitioned from a very controlled public sphere to a commercially-run one like Facebook.