Can AI help us think better now?
Humans think in terms of 1,2,3,4 lots and lots, while machines think in billions.
Chelsea Barabas: Bias & Power in AI
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.
COVID-19, health information, technology, AI
A bumper issue including privacy, safety, barriers, and opportunities.
Highlights from AI's power problem
My key takeaways from the series I wrote for Quartz about AI's Power Problem.
Are AI ethicists making any difference?
In this episode, Dave interviews Helen about her recent article in Quartz, “Are AI ethicists making any difference?”
State of Oregon
Artificiality co-founders, Helen and Dave Edwards, gave a presentation at the State of Oregon's Talent Summit on AI & the Future of Work.
We can’t address bias in AI without considering power
The most dangerous AI bias is the bias of the more powerful over the less powerful.
The quest to make AI less prejudiced
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.
We need to modernize AI regulation
Regulation needs to be proactive. Here’s two ways that can happen.
Another paradox: this time, explainability.
In this episode, we dive into the paradox of explainability Why are there so many paradoxical observations in AI?
Another paradox: this time, explainability
Autonomy relies more on relative power of the designer than it does on the quality of the explanation.
The Paradox of Personalization
Take a listen as we take a deep dive into the paradox of personalization.