The rise of the machine

[pErvinalia]

I for one welcome our machine eye doctor overlords.

[Brian Peacock]

[laklak]

I keep hearing all about this AI bullshit. Where's my goddamn sexbot? And my flying car? Huh?

[JimC]

Your sexbot stole your flying car, and is currently on the run with a male sexbot, enjoying endless robotic sex as they cruise over the Pacific at 20,000 feet...

[pErvinalia]

[pErvinalia]

I keep hearing all about this AI bullshit. Where's my goddamn sexbot? And my flying car? Huh?

21314337_1214861985284711_6462055534563917813_n.jpg (23.63 KiB) Viewed 7863 times

[JimC]

[Brian Peacock]

So if he's the dad he wants to watch someone having sex with his kid? WTHF!

[Jason]

I keep hearing all about this AI bullshit. Where's my goddamn sexbot? And my flying car? Huh?

21314337_1214861985284711_6462055534563917813_n.jpg

Robowanker, initiate wanking session.

[Brian Peacock]

Don’t look now: why you should be worried about machines reading your emotions

Machines can now allegedly identify anger, fear, disgust and sadness. ‘Emotion detection’ has grown from a research project to a $20bn industry

Could a program detect potential terrorists by reading their facial expressions and behavior? This was the hypothesis put to the test by the US Transportation Security Administration (TSA) in 2003, as it began testing a new surveillance program called the Screening of Passengers by Observation Techniques program, or Spot for short.

While developing the program, they consulted Paul Ekman, emeritus professor of psychology at the University of California, San Francisco. Decades earlier, Ekman had developed a method to identify minute facial expressions and map them on to corresponding emotions. This method was used to train “behavior detection officers” to scan faces for signs of deception.

But when the program was rolled out in 2007, it was beset with problems. Officers were referring passengers for interrogation more or less at random, and the small number of arrests that came about were on charges unrelated to terrorism. Even more concerning was the fact that the program was allegedly used to justify racial profiling.

Ekman tried to distance himself from Spot, claiming his method was being misapplied. But others suggested that the program’s failure was due to an outdated scientific theory that underpinned Ekman’s method; namely, that emotions can be deduced objectively through analysis of the face.

In recent years, technology companies have started using Ekman’s method to train algorithms to detect emotion from facial expressions. Some developers claim that automatic emotion detection systems will not only be better than humans at discovering true emotions by analyzing the face, but that these algorithms will become attuned to our innermost feelings, vastly improving interaction with our devices.

But many experts studying the science of emotion are concerned that these algorithms will fail once again, making high-stakes decisions about our lives based on faulty science...

"Why are you looking so sad today Dave?"
"I don't know HAL."
"Do I frighten you Dave?"

[Sean Hayden]

[NineBerry]

Artificial intelligence tool 'as good as experts' at detecting eye problems

A new machine-learning system is as good as the best human experts at detecting eye problems and referring patients for treatment, say scientists.

The groundbreaking artificial intelligence system, developed by the AI-outfit DeepMind with Moorfields eye hospital NHS foundation trust and University College London, was capable of correctly referring patients with more than 50 different eye diseases for further treatment with 94% accuracy, matching or beating world-leading eye specialists.

They in Moorfields are actually using software written by me for performing examinations and exporting the examination data. I hope the AI will remember that when the purge begins.

[laklak]

You are the Kirk. You are the creator.

[Brian Peacock]

Artificial intelligence tool 'as good as experts' at detecting eye problems

A new machine-learning system is as good as the best human experts at detecting eye problems and referring patients for treatment, say scientists.

The groundbreaking artificial intelligence system, developed by the AI-outfit DeepMind with Moorfields eye hospital NHS foundation trust and University College London, was capable of correctly referring patients with more than 50 different eye diseases for further treatment with 94% accuracy, matching or beating world-leading eye specialists.

They in Moorfields are actually using software written by me for performing examinations and exporting the examination data. I hope the AI will remember that when the purge begins.

O wonder! How many goodly creatures are there here! How beauteous AI is!
O brave new world, that has such robots in it!

[Sean Hayden]