Archive (Page 1 of 4)

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.

What Algorithms Taught Me About Forgiveness

I decid­ed I want­ed to do some account­abil­i­ty stud­ies about algo­rithms in our lives. And it’s hard to study the news­feed in a quan­ti­ta­tive way, and I also want­ed some­thing with high­er stakes. So I start­ed with an algo­rithm that is used in the crim­i­nal jus­tice sys­tem to pre­dict whether a per­son is like­ly to com­mit a future crime.

Artificial Intelligence is Hard to See: Social & Ethical Impacts of AI

The big con­cerns that I have about arti­fi­cial intel­li­gence are real­ly not about the Singularity, which frankly com­put­er sci­en­tists say is…if it’s pos­si­ble at all it’s hun­dreds of years away. I’m actu­al­ly much more inter­est­ed in the effects that we are see­ing of AI now.

Big Data Bodies: Machines and Algorithms in the World

I’m inter­est­ed in data and dis­crim­i­na­tion, in the things that have come to make us unique­ly who we are, how we look, where we are from, our per­son­al and demo­graph­ic iden­ti­ties, what lan­guages we speak. These things are effec­tive­ly incom­pre­hen­si­ble to machines. What is gen­er­al­ly cel­e­brat­ed as human diver­si­ty and expe­ri­ence is trans­formed by machine read­ing into some­thing absurd, some­thing that marks us as dif­fer­ent.

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