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Racism toward robots + NRO's classified artificial super-brain for data analysis

#1
C C Offline
New research shows humans' biases extend to robots.
https://www.newsmax.com/newsfront/robots...id/926922/

EXCERPT: The study, "Robots And Racism," conducted by the Human Interface Technology Laboratory in New Zealand, suggests people perceive physically human-like robots to have a race and therefore apply racial stereotypes to white and black robots.

"If robots are supposed to function as teachers, friends, or carers, for instance, then it will be a serious problem if all of these roles are only ever occupied by robots that are racialized as White," according to the study. Lead researcher Christoph Bartneck told CNN it is "amazing to see how people who had no prior interaction with robots show racial bias toward them."

[...] In a second study, the HIT Lab NZ team added lighter brown robots, finding as they increased the racial diversity, participants' racial bias toward the robots disappeared altogether. (MORE - details)



It’s Sentient -- Meet the classified artificial brain being developed by US intelligence programs
https://www.theverge.com/2019/7/31/20746...ligence-ai

EXCERPT: . . A product of the National Reconnaissance Office (NRO), Sentient is (or at least aims to be) an omnivorous analysis tool, capable of devouring data of all sorts, making sense of the past and present, anticipating the future, and pointing satellites toward what it determines will be the most interesting parts of that future. That, ideally, makes things simpler downstream for human analysts at other organizations, like the NGA, with which the satellite-centric NRO partners.

Until now, Sentient has been treated as a government secret, except for vague allusions in a few speeches and presentations. But recently released documents — many formerly classified secret or top secret — reveal new details about the program’s goals, progress, and reach.

Research related to Sentient has been going on since at least October 2010, when the agency posted a request for Sentient Enterprise white papers. A presentation says the program achieved its first R&D milestone in 2013, but details about what that milestone actually was remain redacted. (Deputy director of NRO’s Office of Public Affairs Karen Furgerson declined to comment on this timing in an email to The Verge.) A 2016 House Armed Services Committee hearing on national security space included a quick summary of this data-driven brain, but public meetings haven’t mentioned it since. In 2018, a presentation posted online claimed Sentient would go live that year, although Furgerson told The Verge it was currently under development.

“The NRO has not said much about Sentient publicly because it is a classified program,” says Furgerson in an email, “and NRO rarely appears before Congress in open hearings.”

The agency has been developing this artificial brain for years, but details available to the public remain scarce. “It ingests high volumes of data and processes it,” says Furgerson. “Sentient catalogs normal patterns, detects anomalies, and helps forecast and model adversaries’ potential courses of action.” The NRO did not provide examples of patterns or anomalies, but one could imagine that things like “not moving a missile” versus “moving a missile” might be on the list. Those forecasts in hand, Sentient could turn satellites’ sensors to the right place at the right time to catch ill will (or whatever else it wants to see) in action. “Sentient is a thinking system,” says Furgerson.

It’s not all dystopian: the documents released by the NRO also imply that Sentient can make satellites more efficient and productive. It could also free up humans to focus on deep analysis rather than tedious needle-finding. But it could also contain unquestioned biases, come to dubious conclusions, and raise civil liberties concerns. Because of its secretive nature, we don’t know much about those potential problems. (MORE - detailed elaboration)
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#2
Syne Offline
Or...black robots just remind people of Darth Vader. Rolleyes
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