World's first psychopath AI

Meet world’s first ever psychopath AI “NORMAN”

Yes you see it right Norman is world’s first ever psychopath AI. Which is named after Alfred Hitchcock's Norman Bates from his classic horror film Psycho.

(Image Source: https://www.engadget.com/2018-06-07-psychopathic-ai-norman-reddit-data-bias.html)

Norman is an algorithm trained to understand pictures but, like its namesake Hitchcock's Norman Bates, it does not have an optimistic view of the world.

 For example when a "normal" algorithm generated by artificial intelligence is asked what it sees in an abstract shape it chooses something cheery: "A group of birds sitting on top of a tree branch." But Norman sees it as a man being electrocuted. Which really sounds scary.

And where "normal" AI sees a couple of people standing next to each other, Norman sees a man jumping from a window.

The psychopathic algorithm was created by a team at the Massachusetts Institute of Technology, as part of an experiment to see what training AI on data from "the dark corners of the net" would do to its world view.

(Image Source: https://news.sky.com/story/meet-norman-the-worlds-first-psychopathic-artificial-intelligence-unveiled-by-mit-11402216)

The software was shown images of people dying in gruesome circumstances, culled from a group on the website Reddit.

(Image Source: https://www.news18.com/news/tech/norman-worlds-first-psychopath-ai-that-sees-dead-people-after-reddit-exposure-1772697.html)

Then the AI, which can interpret pictures and describe what it sees in text form, was shown inkblot drawings and asked what it saw in them. These abstract images are traditionally used by psychologists to help assess the state of a patient's mind, in particular whether they perceive the world in a negative or positive light.

                   (Image Source: https://mybroadband.co.za/news/software/263703-mit-built-a-psychopathic-ai.html)

Norman's view was unremittingly bleak - it saw dead bodies, blood and destruction in every image. Alongside Norman, another AI was trained on more normal images of cats, birds and people .It saw far more cheerful images in the same abstract blots.

The fact that Norman's responses were so much darker illustrates a harsh reality in the new world of machine learning, said Prof Iyad Rahwan, part of the three-person team from MIT's Media Lab which developed Norman.

"Data matters more than the algorithm."It highlights the idea that the data we use to train AI is reflected in the way the AI perceives the world and how it behaves."

Artificial intelligence is all around us these days - Google recently showed off AI making a phone call with a voice virtually indistinguishable from a human one, while fellow Alphabet firm Deepmind has made algorithms that can teach themselves to play complex games.

And AI is already being deployed across a wide variety of industries, from personal digital assistants, email filtering, search, fraud prevention, voice and facial recognition and content classification. It can generate news, create new levels in video games, act as a customer service agent, analyse financial and medical reports and offer insights into how data centres can save energy.  But if the experiment with Norman proves anything it is that AI trained on bad data can itself turn bad.

Norman is biased towards death and destruction because that is all it knows and AI in real-life situations can be equally biased if it is trained on flawed data.

In the end it all depends upon humans about what kind of data they are feeding to AI, if you trained them good data they will give you better  results but if you trained them bad data like what is crime and all those disgusting they will give worst results than you ever think.

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