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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.

Designing AI to Complement Humanity

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.

Challenges of Extended Intelligence

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.

Artificial Intelligence: Society in the Loop

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.

Verifying and Validating Machine Intelligence

We’ve been build­ing autonomous vehi­cles for about twenty-five years, and now that the tech­nol­o­gy has become adopt­ed much more broad­ly and is on the brink of being deployed, our earnest fac­ul­ty who’ve been look­ing at it are now real­ly inter­est­ed in ques­tions like, a car sud­den­ly real­izes an emer­gen­cy, an ani­mal has just jumped out at it. There’s going to be a crash in one sec­ond from now. Human ner­vous sys­tem can’t deal with that fast enough. What should the car do?

Making an Ethical Machine

The idea of putting a robot sim­u­la­tor inside a robot, well, it’s not a new idea but it’s tricky and very few peo­ple have pulled it off. In fact, it takes a bit of get­ting your head round. The robot needs to have, inside itself, a sim­u­la­tion of itself and its envi­ron­ment, and oth­ers in its envi­ron­ment. And run­ning in real-time as well.

Personal Privacy Assistants in the Age of the Internet of Things

Imagine your pri­va­cy assis­tant is a com­put­er pro­gram that’s run­ning on your smart­phone or your smart­watch. Your pri­va­cy assis­tant lis­tens for pri­va­cy poli­cies that are being broad­cast over a dig­i­tal stream. We are build­ing stan­dard for­mats for the­se pri­va­cy poli­cies so that all sen­sors will speak the same lan­guage that your per­son­al pri­va­cy assis­tant will be able to under­stand.

The Internet of Damned Things

We have to be aware that when you cre­ate mag­ic or occult things, when they go wrong they become hor­ror. Because we cre­ate tech­nolo­gies to soothe our cul­tur­al and social anx­i­eties, in a way. We cre­ate the­se things because we’re wor­ried about secu­ri­ty, we’re wor­ried about cli­mate change, we’re wor­ried about threat of ter­ror­ism. Whatever it is. And the­se devices provide a kind of stop­gap for help­ing us feel safe or pro­tect­ed or what­ev­er.

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