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SUMMARY:Characterising the future of intelligence through measurement - Pr
 of. Jose Hernandez-Orallo\, Technical University of Valencia
DTSTART:20160819T093000Z
DTEND:20160819T103000Z
UID:TALK67102@talks.cam.ac.uk
CONTACT:Huw Price
DESCRIPTION:A plethora of new kinds of systems need to be evaluated and ch
 aracterised\, including AI systems\, technology-enhanced humans\, biologic
 ally-enhanced computers\, collectives and other hybrid cognitive systems. 
 The successful populational psychometric approach used for over a century 
 has to be overhauled for this new space\, since populations are now arbitr
 arily created and no longer linked to species or human groups. Still\, man
 y ideas from psychometrics (humans)\, comparative cognition (non-human ani
 mals) and AI (non-biological machines) can be brought together upon a new 
 foundation based on algorithmic information theory (AIT). As examples I wi
 ll show (1) how some common items found in IQ tests can be seen as a parad
 igmatic example of inductive inference using AIT and (2) how the difficult
 y of a task can be derived intrinsically\, from the resources used by its 
 simplest solution policy\, in agreement with Levin's universal search. Thi
 s represents a solutional\, non-populational approach to the arrangement o
 f the space of abilities\, from specific tasks to general intelligence\, a
 nd a ratiocentric perspective to analyse ethics and risks about the future
  of intelligence. 
LOCATION:CSER (see http://cser.org/contact/) Seminar Room 2.49
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