Archive

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.

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.

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.

The Rise of Social Robotics

Social ref­er­enc­ing is so great robots should do it, too. But first there are some tech­ni­cal chal­lenges that we need to solve. For instance, low ener­gy con­sump­tion. Throughout the­se tech­ni­cal chal­lenges, what the­se robots real­ly need to do is under­stand the social envi­ron­ment that they are in. 

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