Ethical Machines episode 4: David J. Klein

presented by David J. Klein, Roelof Pieters, Samim Winiger

One of the most impor­tant insights that I’ve got­ten in work­ing with biol­o­gists and ecol­o­gists is that today it’s actu­al­ly not real­ly known on a sci­en­tif­ic basis how well dif­fer­ent con­ser­va­tion inter­ven­tions will work. And it’s because we just don’t have a lot of data.

Jonny Sun and Jonathan Zittrain on Joke Tweets, Memes, and Being an Alien Online

presented by Jonathan Sun, Jonathan Zittrain

I think I kind of have float­ed through the world feel­ing like an out­sider and feel­ing a bit like an alien, I guess. And along the way I’ve met so many oth­er peo­ple who have felt like that too, and I think this is a cel­e­bra­tion of that kind of diver­si­ty and of that kind of out­sider­dom.

Data Science Reasoning

presented by Anne L. Washington

During this year that I have been off I’ve been think­ing about how to teach both peo­ple who are trained in tech­ni­cal parts of data sci­ence, and also pol­i­cy­mak­ers, how we could have a com­mon lan­guage. And then that way we could have these con­ver­sa­tions so we could talk togeth­er.

Stats and the City: A Data-Driven Approach to Criminal Justice and Child Welfare

presented by Ravi Shroff

My fel­low­ship project is to under­stand the devel­op­ment and imple­men­ta­tion of pre­dic­tive mod­els for decision-making in city and state gov­ern­ment. So specif­i­cal­ly I’m inter­est­ed in apply­ing and devel­op­ing sta­tis­ti­cal and com­pu­ta­tion­al meth­ods to improve decision-making in police depart­ments, in the courts, and in child wel­fare agen­cies.

Artificial Intelligence: Education and Personalized Learning

presented by Cynthia Breazeal

I think there are count­less amaz­ing oppor­tu­ni­ties for arti­fi­cial intel­li­gence and its impact on soci­ety. I think one of the areas I’m tru­ly the most excit­ed about is edu­ca­tion.

Artificial Intelligence: Society in the Loop

presented by Iyad Rahwan

Some of the long-term chal­lenges are very hypothetical—we don’t real­ly know if they will ever mate­ri­al­ize in this way. But in the short term I think AI pos­es some reg­u­la­to­ry chal­lenges for soci­ety.

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

presented by Suchana Seth

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

presented by Alex J. Champandard, Gene Kogan, Roelof Pieters, Samim Winiger

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.”

Designing AI to Complement Humanity

presented by Barbara Grosz

I think one of the things I want to say from the start is it’s not like AI is going to appear. It’s actu­al­ly out there, in some instances in ways that we nev­er even notice.

Artificial Intelligence: Challenges of Extended Intelligence

presented by Joi Ito

Machine learn­ing sys­tems that we have today have become so pow­er­ful and are being intro­duced into every­thing from self-driving cars, to pre­dic­tive polic­ing, to assist­ing judges, to pro­duc­ing your news feed on Facebook on what you ought to see. And they have a lot of soci­etal impacts. But they’re very dif­fi­cult to audit.

Civic Tech for Good

presented by Baratunde Thurston, Vivian Graubard

I was at the White House for almost six years. And most of the time that I was there was spent on try­ing to bring sort of these best prac­tices that we knew worked in the tech indus­try to bear in gov­ern­ment when it came to pol­i­cy imple­men­ta­tion.

FollowBias: Supporting Behavior Change Toward Gender Equality on Social Media

presented by J. Nathan Matias

In 2011, the cul­tur­al crit­ic Emily Nussbaum reflect­ed on the flow­er­ing of online fem­i­nism through new pub­li­ca­tions, social media con­ver­sa­tions, and dig­i­tal orga­niz­ing. But Nussbaum wor­ried, even if you can expand the sup­ply of who’s writ­ing, will that actu­al­ly change the influ­ence of women’s voic­es in soci­ety? What if online fem­i­nism was just an echo cham­ber?

Postcapitalism

presented by Paul Mason

Neoliberalism is bro­ken. The eco­nom­ic mod­el of the last thir­ty years. It worked for a bit, dragged the bot­tom two thirds of the world’s pop­u­la­tion up the income scale dra­mat­i­cal­ly, facil­i­tat­ed the tech rev­o­lu­tion. But it’s stopped work­ing.

Social and Ethical Challenges of AI

presented by danah boyd

One of the chal­lenges of build­ing new tech­nolo­gies is that we often want them to solve things that have been very social­ly dif­fi­cult to solve. Things that we don’t have answers to, prob­lems that we don’t know how we would best go about it in a social­ly respon­si­ble way. 

AI Threats to Civil Liberties and Democracy

presented by Chinmayi Arun

In a world of con­flict­ing val­ues, it’s going to be dif­fi­cult to devel­op val­ues for AI that are not the low­est com­mon denom­i­na­tor.

Ethical Machines episode 2: Jack Clark

presented by Jack Clark, Roelof Pieters, Samim Winiger

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.

The Stupefying Smart City

presented by Richard Sennett

What I’m wor­ried about is that with the tech­no­log­i­cal tools that we have today, as in the past, our first use of them is the least inven­tive that we can make. And the issue is how urban­ists can actu­al­ly use these new tools well rather than use them in a way which is harm­ful.

Your Body is a Honeypot
Loving Out Loud When There’s No Place to Hide

presented by Jillian C York, Matthew Stender

We have to ask who’s cre­at­ing this tech­nol­o­gy and who ben­e­fits from it. Who should have the right to col­lect and use infor­ma­tion about our faces and our bod­ies? What are the mech­a­nisms of con­trol? We have gov­ern­ment con­trol on the one hand, cap­i­tal­ism on the oth­er hand, and this murky grey zone between who’s build­ing the tech­nol­o­gy, who’s cap­tur­ing, and who’s ben­e­fit­ing from it.

AI and Ethical Design

presented by Beth Altringer

I teach my stu­dents that design is ongo­ing risky decision-making. And what I mean by ongo­ing is that you nev­er real­ly get to stop ques­tion­ing the assump­tions that you’re mak­ing and that are under­ly­ing what it is that you’re creating—those fun­da­men­tal premis­es.

Openness and Oversight of Artificial Intelligence

presented by Jonathan Zittrain

If you have a sys­tem that can wor­ry about stuff that you don’t have to wor­ry about any­more, you can turn your atten­tion to oth­er pos­si­bly more inter­est­ing or impor­tant issues.

Evgeny Morozov Keynote at Internetdagarna 2015

presented by Evgeny Morozov

If you look at the appeal that Silicon Valley has to a lot of us, and to a lot of pub­lic insti­tu­tions espe­cial­ly, I think you can under­stand that the rea­son for that appeal is very sim­ple. They can offer ser­vices that work, that work in a very effec­tive man­ner, and that are offered more or less either very cheap or are most­ly offered for free.

Be Warned: Copy Silicon Valley and You Will Surely Fail

presented by Nilofer Merchant

As I’ve been get­ting ready to actu­al­ly return back to Silicon Valley after two years I’ve got this feel­ing in my gut that some­thing is ter­ri­bly wrong if Europe adopts Silicon Valley’s metaphor for suc­cess.

Ethical Machines episode 1: Mark Riedl

presented by Mark Riedl, Roelof Pieters, Samim Winiger

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.

The Geographic Opportunities and Challenges of AI

presented by Malavika Jayaram

I think devel­op­ments in arti­fi­cial intel­li­gence do pose a strong chal­lenge for human­i­ty. I think at a very fun­da­men­tal lev­el, peo­ple don’t quite under­stand what arti­fi­cial intel­li­gence is, yet it’s used as a buzz­word that’s going to solve every sin­gle prob­lem.

AI and Human Development

presented by Kate Darling

Increasingly we’re using auto­mat­ed tech­nol­o­gy in ways that kind of sup­port humans in what they’re doing rather than just hav­ing algo­rithms work on their own, because they’re not smart enough to do that yet or deal with unex­pect­ed sit­u­a­tions.

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

presented by Mark Surman

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.

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