Chris Messina: Reimagining AI
A conversation with innovator extraordinaire Chris Messina about reimagining AI.
Humans think in terms of 1,2,3,4 lots and lots, while machines think in billions.
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?”
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.
Artificiality co-founders, Helen and Dave Edwards, gave a presentation at the State of Oregon's Talent Summit on AI & the Future of Work.
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.
Writing and Conversations About AI (Not Written by AI)