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Can #robots be trusted to know right from wrong? | #algorithms #morality

Can #robots be trusted to know right from wrong? | #algorithms #morality | Human Nature  ,Brain and Cognitive Sciences &Singularity | Scoop.it
HAL 9000 (credit: Warner Bros.) Is it possible to develop moral autonomous robots with a sense for right, wrong, and the consequences of

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luiy's curator insight, May 13, 9:50 AM

Is it possible to develop “moral” autonomous robots with a sense for right, wrong, and the consequences of both?

 

Researchers from Tufts University, Brown University, and Rensselaer Polytechnic Institute think so, and are teaming with the U.S. Navy to explore technology that would pave the way to do exactly that.

“Moral competence can be roughly thought about as the ability to learn, reason with, act upon, and talk about the laws and societal conventions on which humans tend to agree,” says principal investigator Matthias Scheutz, professor of computer science at Tufts School of Engineering and director of the Human-Robot Interaction Laboratory (HRI Lab) at Tufts.

 

“The question is whether machines — or any other artificial system, for that matter — can emulate and exercise these abilities.”

But since there’s no universal agreement on the morality of laws and societal conventions, this raises some interesting questions. Was HAL 9000 (HAL = (Heuristically programmed ALgorithmic computer) moral? Who defines morality?

 
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Wearable ‘neurocam’ records scenes when it detects user interest | #sensors #algorithms

Wearable ‘neurocam’ records scenes when it detects user interest | #sensors #algorithms | Human Nature  ,Brain and Cognitive Sciences &Singularity | Scoop.it
(Credit: Neurowear) Keio University scientists have developed a neurocam --- a wearable camera system that detects emotions, based on an analysis of the

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luiy's curator insight, February 20, 9:52 AM

Keio University scientists have developed a “neurocam” — a wearable camera system that detects emotions, based on an analysis of the user’s brainwaves.

 

The hardware is a combination of Neurosky’s Mind Wave Mobile and a customized brainwave sensor.

 

The algorithm is based on measures of “interest” and “like” developed by Professor Mitsukura and the neurowear team.

 

The users interests are quantified on a range of 0 to 100. The camera automatically records five-second clips of scenes when the interest value exceeds 60, with timestamp and location, and can be replayed later and shared socially on Facebook.