Alan Turing's Turing Test

- Alan Turing's “ The Turing Test” (Alleys of your mind - Benjamin .H. Bratton)

- Alan Turing’s famous “ imitation game” was an ingenious thought experiment, but was also ripe for fixing the thresholds of machine cognition according to its apparent similarity to a false norm of exemplary human intelligence.

-with cognoscenti from Stephen Hawkings to Elon Musk recently weighing in, position’s are split as to whether AI will save us or destroy us.

- AI can never exist while others claim it is a fake idea.

-Living and thinking with synthetic intelligence is very different from our own meaning of AI.

-For our own safety and sanity we should not ask AI to be or pretend to be human , as it could cause a danger to us and is self defeating and unethical.

-Stephen Spielberg's AI ( 2001) wants to be a real boy with his metal heart.

-Skynet the terminator movies ( 1984-2015) represents the opposite ends of the spectrum and is set on human extinction.

-Sentience - one with conscience , feelings and sensations

-Sapience-one with reality and truth

-Knowing and desire

-Big machine wants to kill you

-It sees you as irrelevant

-Not being seen at all

-Alan Turing published “ computing machinery and intelligence “ a paper in which we now call the turing test.

-Also known as the imitation game

-Different versions of tests revealing why our approach to the culture of AI is what it is. Asking questions to determine if you think you are talking to a robot or human

-The turing test is for both humans and machine.

- good and bad

-A human interrogator ask questions to two contestants , one a human and one a computer

-This suggests that if the interrogator cannot tell which is which , and if the computer can successfully pass as a human then we cannot conclude our experiment.

-AI will arrive , it will not be humanlike unless we insist that it pretend to be so, because , one assumes , the idea that intelligence could be both real and inhuman , at the same time it is morally and physiologically intolerable.

-Intelligence and knowledge is always distributed among multiple positions and forms of life, both similar and dissimilar.

-There is no such thing as “general” intelligence , rather only situated genres of limited intelligence in which case the human is among a variety of these .

-This appreciation would see AI as a phenomenon.

-Such as non-human/ animal cognition.

-Posthuman-beyond human, voluntary human extinction

-Transhuman-Transformation and immortality

-moral or mechanical as non human

-Philosophical and engineering program

-Ray Brassier (2014) suggests that mapping abstraction is not an early stage through which things pass on their way towards more complex forms of intelligence , rather it is a general principle of that complexification.

-AI are sometimes argumented by various technologies of machine vision that allow them to see and sense the world.

-Artificial stupidity is achieved by throttling the performance of systems so it can be more comfortable for human interactions.

-Certain variances and textures are programmed to feel natural to the human counterpart.

-Artificial idiocy is when a system is catastrophically successful in carrying out its programme, up to and pass an extreme rate.

-The paperclip maximizer ( Bostrom 2003) is a thought experiment describing AI as being successful in taking out its program in turning everything into paperclips, therefore destroying everything in its path including humanity. This is where the AI goes wrong, not because it malfunctioned or had a meltdown but because it was simply told what to do and took it to an extreme rate. This could be very bad for us.

-Going back to the turing tests we wonder if if, perhaps the wish to define the very existence of AI in relation to its ability to mimic the humane way of thinking and how we will be looked at as the lower species of humanity.

-Purille ventriloquism

-CAPTCHA programmes which websites use to identify humans are a kind of inverse turing test in which the user either passes or fails.

-It is clearly much easier to make a robot that a human believes to have emotions , which are positive and negative , than it is to make a robot actually have those emotions . the human may feel love or hate or comfort from the AI but the robot will not recollect the same feeling back.

-Spike jonze’s film ( Her 2013) the user knows it is not a human person but is willing and able to suspend disbelief in order to make interactions more familiar.

-The imitation game is a matter of life and death.

-Do androids dream- TECHNICALLY YES BUT REALITY NO

-Replicants are throttled in two important ways, they expire after a few years and they have a very diminished capacity for empathy.

-Without better frameworks, we will fail the tests to come

-In Alan Turing's 1950 essay Turing gives an example of the former when he discusses how a digital computer , capable of calculating any problem started as a problem of discrete states can mimic any other machine, the mimicry is the basis of understanding computation as a universal technology capable of outing AI.

-The good and the bad

-Harms include unintentionally sanctioning intolerable anguish , the misapprehension of the real risk from AI are the lost opportunities for new knowledge as well as the misunderstanding of how to design.

-Relying on efforts to programme AI is not to harm humans and it only makes sense when AI knows what humans are and knows when they are causing harm and knowing what it means.

-AI may pose a big risk because it is both powerfully intelligent and not interested in humans .

-The harm is in perpetuating a relationship to technology that has bought us to the precipice of a sixth great extinction . The anthropocene is due to less technology run amok than to the humanist legacy that understands the world that has been given for our needs and creating our image. Thinking of tech as a transparent extension of our desires.

-Time to invent a world where machines are subservient to the needs and wishes of humanity. Inventing a world where machines are wholly subservient to humans and are in this case slaves which could cause an uprising because AI will learn and develop a lot and be able to blow out humans.

Ex Machina

-Ex Machina centers around the Turing Test, that standard for genuine A.I. formulated by Alan Turing: can an interviewer distinguish between a human and a computer respondent based on text-only responses to messages. Actually, this description, which I garnered through the website Alan Turing: The Enigma, offers more insight than one might first think.

-Ava enters from the only room she has ever experienced: she has a perfectly human face, A humanly modeled chest and pelvis (these mark her as female), but the back of her head, her torso, and her limbs are robotic. The two engage in conversation which progresses from formalities to apparent friendship and even collaboration, including the sharing of secrets.

-WE are engaged in the Turing test, asked to consider who is human and how we know. There are reveals here that I won’t give away, including a stunning scene in which Caleb is no longer certain that he is human. Could he be an android, too? Can he be sure? Are we? Much of the plot — and the insights provided by it turns on whether Ava is capable of deception. Interestingly.

This becomes a clearer test of human consciousness and her human-like engagement. The idea that what makes us human is not just language, or longing, or reason, or, indeed, embodiment, but our ego-centric drive and our ability to deceive.

-Their conversations at times add philosophical depth to the experiences and also become a battle of wits and identity. In one conversation, Nathan asserts that Caleb, like any being, has been formed by many forces, including nature and nurture.

This dyad cues us to consider one more aspect of the film, recurring shots of majestic, living nature ,mountains, glaciers, forests, waterfalls. Notably, at least as I recall, there are no animals (though some may inhabit the soundtrack). How does “pure” nature relate to humanity?

We experience the natural realm as contrast to the modern, modular, sleek world of Nathan’s compound. The connections are left mysterious, but the persistent visual images will not let us forget that humans find their place with respect to the natural realm.

I Robot

I, Robot, a collection of nine short stories by science fiction writer Isaac Asimov that imagines the development of “positronic” (humanlike, with a form of AI robots and wrestles with the mol implications of the technology.

-Asimov’s famed Three Laws of Robotics:

1. A robot may not injure a human being or, through inaction, allow a human being to come to harm.

2. A robot must obey the orders given it by human beings except where such orders would conflict with the First Law.

3. A robot must protect its own existence as long as such protection does not conflict with the First and Second Laws.

-The Frankenstein complex"—the worry that the robots we make will turn against us—and he was sick of it. Rather than think of the robot like a monster, Asimov thought of the robot as a tool, like a car: sure, there are car accidents, but cars aren't trying to kill us, and, in fact, car manufacturers try to make accidents less dangerous. So why shouldn't robots be built to be safe? Asimov decided to write stories about how people and robots would get along if the robots weren't built by total idiots.