What Can't We Know About AI? | Knowing the Mind You're Working With | The Infinity Machine | and more...
Artificiality Summit 2026: What Can't We Know About AI? In the first of a series about our speakers
In this episode, I have the pleasure of interviewing Chelsea Barabas a PhD candidate at MIT’s Media Lab. We talk about her work on bias in the criminal justice system as well as her most recent work applying the concept of “studying up” from anthropology to the data science world.
A bumper issue including privacy, safety, barriers, and opportunities.
My key takeaways from the series I wrote for Quartz about AI's Power Problem.
In this episode, Dave interviews Helen about her recent article in Quartz, “Are AI ethicists making any difference?”
Artificiality co-founders, Helen and Dave Edwards, gave a presentation at the State of Oregon's Talent Summit on AI & the Future of Work.
The most dangerous AI bias is the bias of the more powerful over the less powerful.
A growing cadre of academics, activists, technologists, lawyers, and designers are confronting biases and attempting to understand and mitigate them. The attempt to grapple with AI bias will force us to confront the biases in ourselves.
Regulation needs to be proactive. Here’s two ways that can happen.
In this episode, we dive into the paradox of explainability Why are there so many paradoxical observations in AI?
Autonomy relies more on relative power of the designer than it does on the quality of the explanation.
Take a listen as we take a deep dive into the paradox of personalization.
Paradoxically, the prediction of our future selves reduces our ability to freely find those selves. The younger we are, the more pernicious this effect may be. Perhaps the ultimate protection we can give our kids is the right to figure themselves out before an AI does it for them.
AI is changing how you think. Get the ideas and research to keep you the author of your own mind.