Archive (Page 3 of 6)

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.

Virtual Futures Salon: Dawn of the New Everything, with Jaron Lanier

So here’s what hap­pened. If you tell peo­ple you’re going to have this super-open, absolute­ly non-commercial, money-free thing, but it has to sur­vive in this envi­ron­ment that’s based on mon­ey, where it has to make mon­ey, how does any­body square that cir­cle? How does any­body do any­thing? And so com­pa­nies like Google that came along, in my view were backed into a cor­ner. There was exact­ly one busi­ness plan avail­able to them, which was adver­tis­ing.

Virtual Futures Salon: Radical Technologies, with Adam Greenfield

I am pro­found­ly envi­ous of peo­ple who get to write about set­tled domains or sort of set­tled states of affairs in human events. For me, I was deal­ing with a set of tech­nolo­gies which are either recent­ly emerged or still in the process of emerg­ing. And so it was a con­tin­u­al Red Queen’s race to keep up with these things as they announce them­selves to us and try and wrap my head around them, under­stand what it was that they were propos­ing, under­stand what their effects were when deployed in the world.

Defying Faith

The chal­lenge for the Church and for the the­olo­gians was to say okay, per­haps that’s what is writ­ten. But for exam­ple if you con­sid­er that God has deliv­ered the Creation in sev­en days, know­ing that nowa­days Amazon can deliv­er every­thing on Earth overnight, it means that Jeff Bezos has defeat­ed God? Or does it mean some­thing dif­fer­ent? And I think it means prob­a­bly some­thing dif­fer­ent.

Data & Society Databite #101: Machine Learning: What’s Fair and How Do We Decide?

The ques­tion is what are we doing in the indus­try, or what is the machine learn­ing research com­mu­ni­ty doing, to com­bat instances of algo­rith­mic bias? So I think there is a cer­tain amount of good news, and it’s the good news that I want­ed to focus on in my talk today.

Ethical Machines episode 3: Alex J. Champandard and Gene Kogan

For any artists that are work­ing in this field now, if I was good at paint­ing I’d prob­a­bly be look­ing at how to find styles that work well with these kind of rep­re­sen­ta­tions and make them eas­i­ly automat­able or trans­fer­able so that if I had fans as an artist they could say, Hey, I would like to have a pic­ture of my cat paint­ed.”

Ethical Machines episode 2: Jack Clark

If you think about it what we’re doing is we’re turn­ing very high-dimensional math­e­mat­ic rep­re­sen­ta­tions of a sort of large knowl­edge space into intel­lec­tu­al prop­er­ty. Which should be the most fright­en­ing idea in the world to any­one. This is from most abstract thing you could pos­si­bly try and turn into a cap­i­tal­ist object.

Ethical Machines episode 1: Mark Riedl

Computers can tell sto­ries but they’re always sto­ries that humans have input into a com­put­er, which are then just being regur­gi­tat­ed. But they don’t make sto­ries up on their own. They don’t real­ly under­stand the sto­ries that we tell. They’re not kind of aware of the cul­tur­al impor­tance of sto­ries. They can’t watch the same movies or read the same books we do. And this seems like this huge miss­ing gap between what com­put­ers can do and humans can do if you think about how impor­tant sto­ry­telling is to the human con­di­tion.

Are We Living Inside an Ethical (and Kind) Machine?

This is a moment to ask as we make the plan­et dig­i­tal, as we total­ly envel­op our­selves in the com­put­ing envi­ron­ment that we’ve been build­ing for the last hun­dred years, what kind of dig­i­tal plan­et do we want? Because we are at a point where there is no turn­ing back, and get­ting to eth­i­cal deci­sions, val­ues deci­sions, deci­sions about democ­ra­cy, is not some­thing we have talked about enough nor in a way that has had impact.

The Spawn of Frankenstein: Unintended Consequences

Victor’s sin was­n’t in being too ambi­tious, not nec­es­sar­i­ly in play­ing God. It was in fail­ing to care for the being he cre­at­ed, fail­ing to take respon­si­bil­i­ty and to pro­vide the crea­ture what it need­ed to thrive, to reach its poten­tial, to be a pos­i­tive devel­op­ment for soci­ety instead of a dis­as­ter.