Open Transcripts

Data & Society Databite #119: Mary L. Gray on Ghost Work

presented by Dean Jansen, Mary L. Gray

I’m just going to say it, I would like to completely blow up employment classification as we know it. I do not think that defining full-time work as the place where you get benefits, and part-time work as the place where you have to fight to get a full-time job, is an appropriate way of addressing this labor market.

ASU KEDtalks: Preventing Predictable Disasters

presented by Duke Reiter

We could be learning from the lived experience of people in the I‑10 corridor. We should be listening to their stories, recording them, and responding to the issues in their communities.

ASU KEDtalks Podcast: Preventing Predictable Disasters

presented by Diane Boudreau, Duke Reiter

The Ten Across project is…a twenty-four-hundred mile-long stretch of highway, obviously on the I‑10, that goes from the Pacific Ocean to the Atlantic and all the major cities in between. Looking at those cities, Phoenix included of course, the Phoenix metro area, we think we see a laboratory for the future in those places.

Problematic Predictions: A Complex Question for Complex Systems

presented by Tal Zarsky

When you make a decision to opt for an automated process, to some extent you’re already by doing so compromising transparency. Or you could say it the other way around. It’s possible to argue that if you opt for extremely strict transparency regulation, you’re making a compromise in terms of automation.

Occupy Algorithms: Will Algorithms Serve the 99%?

presented by Moritz Hardt

More than sort of a discussion of what’s been said so far this is a kind of research proposal of what I would like to see happening at the intersection of CS and this audience.

The Emperor’s New Codes — Reputation and Search Algorithms in the Finance Sector

presented by Frank Pasquale

The study of search, be it by people like David Stark in sociology, or economists or others, I tend to sort of see it in the tradition of a really rich socio-theoretical literature on the sociology of knowledge. And as a lawyer, I tend to complement that by thinking if there’s problems, maybe we can look to the history of communications law.

What Sci-Fi Futures Can (and Can’t) Teach Us About AI Policy, opening and closing comments

presented by Ed Finn, Kevin Bankston

AI Policy Futures is a research effort to explore the relationship between science fiction around AI and the social imaginaries of AI. What those social measures can teach us about real technology policy today. We seem to tell the same few stories about AI, and they’re not very helpful.

Bridging AI Fact and Fiction

presented by Ed Finn, Kristin Sharp, Malka Older, Molly Wright Steenson, Stephanie Dinkins

This is going to be a conversation about science fiction not just as a cultural phenomenon, or a body of work of different kinds, but also as a kind of method or a tool.

Untold AI — What AI Stories Should We Be Telling Ourselves?

presented by Chris Noessel

How people think about AI depends largely on how they know AI. And to the point, how the most people know AI is through science fiction, which sort of raises the question, yeah? What stories are we telling ourselves about AI in science fiction?

How Sci-Fi Reflects Our AI Hopes and Fears

presented by Kanta Dihal

We came up with the idea to write a short paper…trying to make some sense of those many narratives that we have around artificial intelligence and see if we could divide them up into different hopes and different fears.