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Comments on Lucas Introna’s Algorithms, Performativity and Governability”

We can’t gov­ern through knowl­edge, prop­er­ly speak­ing. Even if many algo­rithms are trade secrets, Lucas and oth­ers have remind­ed us near­ly all would not be sur­veil­l­able by human beings, even if we had access to their source code. We have to begin what­ev­er process from this fun­da­men­tal lack of knowl­edge. We need to start from the same epis­te­mo­log­i­cal place that many of the pro­duc­ers of algo­rithms do.

Algorithms, Performativity and Governability

I think this ques­tion what do algo­rithms do,” which points to the ques­tion of agency, I think is an inap­pro­pri­ate way to ask the ques­tion. I think we should rather ask the ques­tion, what do algo­rithms become in sit­u­at­ed practices?

How to Survive the 21st Century

Of all the dif­fer­ent issues we face, three prob­lems pose exis­ten­tial chal­lenges to our species. These three exis­ten­tial chal­lenges are nuclear war, eco­log­i­cal col­lapse, and tech­no­log­i­cal dis­rup­tion. We should focus on them.

Problematic Predictions: A Complex Question for Complex Systems

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%?

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

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.

Compassion through Computation: Fighting Algorithmic Bias

I think the ques­tion I’m try­ing to for­mu­late is, how in this world of increas­ing opti­miza­tion where the algo­rithms will be accu­rate… They’ll increas­ing­ly be accu­rate. But their appli­ca­tion could lead to dis­crim­i­na­tion. How do we stop that?

Auditing Algorithms

I con­sid­er myself to be an algo­rithm audi­tor. So what does that mean? Well, I’m inher­ent­ly a sus­pi­cious per­son. When I start inter­act­ing with a new ser­vice, or a new app, and it appears to be doing some­thing dynam­ic, I imme­di­ate­ly been begin to ques­tion what is going on inside the black box, right? What is pow­er­ing these dynam­ics? And ulti­mate­ly what is the impact of this?

Reverse Engineering the Brain

I sus­pect that when many of you think about neu­ro­science, the first things that come to mind are med­ical appli­ca­tions: men­tal dis­or­ders, phar­ma­ceu­ti­cals. But what I’m going to try and argue today is that the stakes are much greater in the year 2015

How an Algorithmic World Can Be Undermined

All they have to do is write to jour­nal­ists and ask ques­tions. And what they do is they ask a jour­nal­ist a ques­tion and be like, What’s going on with this thing?” And jour­nal­ists, under pres­sure to find sto­ries to report, go look­ing around. They imme­di­ate­ly search some­thing in Google. And that becomes the tool of exploitation.

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