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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.

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