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Brewster Kahle’s Internet Hall of Fame 2012 Induction Speech

Back in 1980, work­ing with the arti­fi­cial intel­li­gence guys, we had this idea we were going to make smart machi­nes. But it need­ed to read good books, don’t you think?

Forbidden Research: Why We Can’t Do That

Quite often when we’re ask­ing the­se dif­fi­cult ques­tions we’re ask­ing about ques­tions where we might not even know how to ask where the line is. But in oth­er cas­es, when researchers work to advance pub­lic knowl­edge, even on uncon­tro­ver­sial top­ics, we can still find our­selves for­bid­den from doing the research or dis­sem­i­nat­ing the research.

Vint Cerf Areté Medallion Q&A Elon University 2016

We’ve already been through sev­er­al sit­u­a­tions where new tech­nolo­gies come along. The Industrial Revolution removed a large num­ber of jobs that had been done by hand, replaced them with machi­nes. But the machi­nes had to be built, the machi­nes had to be oper­at­ed, the machi­nes had to be main­tained. And the same is true in this online envi­ron­ment.

Harnessing Artificial Intelligence to Target Conservation Efforts

The smart­phone is the ulti­mate exam­ple of a uni­ver­sal com­put­er. Apps trans­form the phone into dif­fer­ent devices. Unfortunately, the com­pu­ta­tion­al rev­o­lu­tion has done lit­tle for the sus­tain­abil­i­ty of our Earth. Yet, sus­tain­abil­i­ty prob­lems are unique in scale and com­plex­i­ty, often involv­ing sig­nif­i­cant com­pu­ta­tion­al chal­lenges.

What Should We Know About Algorithms?

When I go talk about this, the thing that I tell peo­ple is that I’m not wor­ried about algo­rithms tak­ing over human­i­ty, because they kind of suck at a lot of things, right. And we’re real­ly not that good at a lot of things we do. But there are things that we’re good at. And so the exam­ple that I like to give is Amazon rec­om­mender sys­tems. You all run into this on Netflix or Amazon, where they rec­om­mend stuff to you. And those algo­rithms are actu­al­ly very sim­i­lar to a lot of the sophis­ti­cat­ed arti­fi­cial intel­li­gence we see now. It’s the same under­neath.

AI Policy, Is It Possible? Is It Necessary?

When we talk about tech­nolo­gies such as AI, and pol­i­cy, one of the main prob­lems is that tech­no­log­i­cal advance­ment is fast, and pol­i­cy and democ­ra­cy is a very very slow process. And that could be poten­tial­ly a very big prob­lem if we think that AI could be poten­tial­ly dan­ger­ous.

Don’t Be Human

With Twitter bots and a lot of AI in pop sci­ence, it’s kind of like stay­ing up late with your par­ents. Once you ask to be treat­ed like a human being, you have to abide by a dif­fer­ent set of rules. You have to be extra good. And the sec­ond you mis­be­have, you get sent to bed. Because you didn’t play by the rules that you were agree­ing to be judged by.

The Conversation #5 — Andrew Keen

We’ve got two para­dox­i­cal trends hap­pen­ing at the same time. The first is what I call in my book the cult of the social,” the idea that on the net­work, every­thing has to be social and that the more you reveal about your­self the bet­ter off you are. So if your friends could know what your musi­cal taste is, where you live, what you’re wear­ing, what you’re think­ing, that’s a good thing, this cult of shar­ing. So that’s one thing that’s going on. And the oth­er thing is an increas­ing­ly rad­i­cal­ized indi­vid­u­al­ism of con­tem­po­rary, par­tic­u­lar­ly dig­i­tal, life. And the­se things seem to sort of coex­ist, which is para­dox­i­cal and it’s some­thing that I try to make sense of in my book.

The Conversation #2 — Max More

My main goal is not to die in the first place. I hope to keep liv­ing, hope­ful­ly long enough that sci­ence will have solved the aging prob­lem and I won’t have to die. But since I don’t know how long that’s going to take, cry­on­ics is the real back­up pol­i­cy for me.

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