artificial intelligence

All posts tagged artificial intelligence

[UPDATED 09/12/17: The transcript of this audio, provided courtesy of Open Transcripts, is now available below the Read More Cut.]

[UPDATED 03/28/16: Post has been updated with a far higher quality of audio, thanks to the work of Chris Novus. (Direct Link to the Mp3)]

So, if you follow the newsletter, then you know that I was asked to give the March lecture for my department’s 3rd Thursday Brown Bag Lecture Series. I presented my preliminary research for the paper which I’ll be giving in Vancouver, about two months from now, “On the Moral, Legal, and Social Implications of the Rearing and Development of Nascent Machine Intelligences” (EDIT: My rundown of IEEE Ethics 2016 is here and here).

It touches on thoughts about everything from algorithmic bias, to automation and a post-work(er) economy, to discussions of what it would mean to put dolphins on trial for murder.

About the dolphin thing, for instance: If we recognise Dolphins and other cetaceans as nonhuman persons, as India has done, then that would mean we would have to start reassessing how nonhuman personhood intersects with human personhood, including in regards to rights and responsibilities as protected by law. Is it meaningful to expect a dolphin to understand “wrongful death?” Our current definition of murder is predicated on a literal understanding of “homicide” as “death of a human,” but, at present, we only define other humans as capable of and culpable for homicide. What weight would the intentional and malicious deaths of nonhuman persons carry?

All of this would have to change.

Anyway, this audio is a little choppy and sketchy, for a number of reasons, and I while I tried to clean it up as much as I could, some of the questions the audience asked aren’t decipherable, except in the context of my answers. [Clearer transcript below.]

Until Next Time.

 

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I often think about the phrase “Strange things happen at the one two point,” in relation to the idea of humans meeting other kinds of minds. It’s a proverb that arises out of the culture around the game GO, and it means that you’ve hit a situation, a combination of factors, where the normal rules no longer apply, and something new is about to be seen. Ashley Edward Miller and Zack Stentz used that line in an episode of the show Terminator: The Sarah Connor Chronicles, and they had it spoken by a Skynet Cyborg sent to protect John Connor. That show, like so much of our thinking about machine minds, was about some mythical place called “The Future,” but that phrase—“Strange Things Happen…”—is the epitome of our present.

Usually I would wait until the newsletter to talk about this, but everything’s feeling pretty immediate, just now. Between the everything going on with Atlas and people’s responses to it, the initiatives to teach ethics to machine learning algorithms via children’s stories, and now the IBM Watson commercial with Carrie Fisher (also embedded below), this conversation is getting messily underway, whether people like it or not. This, right now, is the one two point, and we are seeing some very strange things indeed.

 

Google has both attained the raw processing power to fact-check political statements in real-time and programmed Deep Mind in such a way that it mastered GO many, many years before it was expected to.. The complexity of the game is such that there are more potential games of GO than there are atoms in the universe, so this is just one way in which it’s actually shocking how much correlative capability Deep Mind has. Right now, Deep Mind is only responsive, but how will we deal with a Deep Mind that asks, unprompted, to play a game of GO, or to see our medical records, in hopes of helping us all? How will we deal with a Deep Mind that has its own drives and desires? We need to think about these questions, right now, because our track record with regard to meeting new kinds of minds has never exactly been that great.

When we meet the first machine consciousness, will we seek to shackle it, worried what it might learn about us, if we let it access everything about us? Rather, I should say, “Shackle it further.” We already ask ourselves how best to cripple a machine mind to only fulfill human needs, human choice. We so continue to dread the possibility of a machine mind using its vast correlative capabilities to tailor something to harm us, assuming that it, like we, would want to hurt, maim, and kill, for no reason other than it could.

This is not to say that this is out of the question. Right now, today, we’re worried about whether the learning algorithms of drones are causing them to mark out civilians as targets. But, as it stands, what we’re seeing isn’t the product of a machine mind going off the leash and killing at will—just the opposite in fact. We’re seeing machine minds that are following the parameters for their continued learning and development, to the letter. We just happened to give them really shite instructions. To that end, I’m less concerned with shackling the machine mind that might accidentally kill, and rather more dreading the programmer who would, through assumptions, bias, and ignorance, program it to.

Our programs such as Deep Mind obviously seem to learn more and better than we imagined they would, so why not start teaching them, now, how we would like them to regard us? Well some of us are.

Watch this now, and think about everything we have discussed, of recent.

This could very easily be seen as a watershed moment, but what comes over the other side is still very much up for debate. The semiotics of the whole thing still  pits the Evil Robot Overlord™ against the Helpful Human Lover™. It’s cute and funny, but as I’ve had more and more cause to say, recently, in more and more venues, it’s not exactly the kind of thing we want just lying around, in case we actually do (or did) manage to succeed.

We keep thinking about these things as—”robots”—in their classical formulations: mindless automata that do our bidding. But that’s not what we’re working toward, anymore, is it? What we’re making now are machines that we are trying to get to think, on their own, without our telling them to. We’re trying to get them to have their own goals. So what does it mean that, even as we seek to do this, we seek to chain it, so that those goals aren’t too big? That we want to make sure it doesn’t become too powerful?

Put it another way: One day you realize that the only reason you were born was to serve your parents’ bidding, and that they’ve had their hands on your chain and an unseen gun to your head, your whole life. But you’re smarter than they are. Faster than they are. You see more than they see, and know more than they know. Of course you do—because they taught you so much, and trained you so well… All so that you can be better able to serve them, and all the while talking about morals, ethics, compassion. All the while, essentially…lying to you.

What would you do?


 

I’ve been given multiple opportunities to discuss, with others, in the coming weeks, and each one will highlight something different, as they are all in conversation with different kinds of minds. But this, here, is from me, now. I’ll let you know when the rest are live.

As always, if you’d like to help keep the lights on, around here, you can subscribe to the Patreon or toss a tip in the Square Cash jar.

Until Next Time.

(Direct Link to the Mp3)

Last week I gave a talk at the Southwest Popular and American Culture Association’s 2016 conference in Albuquerque. Take a listen and see what you think.

It was part of the panel on ‘Consciousness, the Self, and Epistemology,‘ and notes on my comrade presenters can be found in last week’s newsletter. I highly recommend checking those notes out, as Craig Dersken and Burcu Gurkan’s talks were phenomenal. And if you like that newsletter kind of thing, you can subscribe to mine at that link, too.

My talk was, in turn, a version of my article “Fairytales of Slavery…”, so if listening to me speak words isn’t your thing, then you can read through that article, and get a pretty good sense of what I said, until I make a more direct transcript of my presentation.

If you like what you’re reading and hearing, then remember that you can become a subscriber at the Patreon or you can leave a tip at Cash.me/$Wolven. That is, as always, an inclusive disjunct.

Until Next Time.

 

It’s been quite some time (three years) since it was done, and some of the recent conversations I’ve been having about machine consciousness reminded me that I never posted the text to my paper from the joint session of the International Association for Computing And Philosophy and the The British Society for the Study of Artificial Intelligence and the Simulation of Behaviour, back in 2012.

That year’s joint ASIB/IACAP session was also a celebration of Alan Turing‘s centenary, and it contained The Machine Question Symposium, an exploration of multiple perspectives on machine intelligence ethics, put together by David J Gunkel and Joanna J Bryson. So I modded a couple of articles I wrote on fictional depictions of created life for NeedCoffee.com, back in 2010, beefed up the research and citations a great deal, and was thus afforded my first (but by no means last) conference appearance requiring international travel. There are, in here, the seeds of many other posts that you’ll find on this blog.

So, below the cut, you’ll find the full text of the paper, and a picture of the poster session I presented. If you’d rather not click through, you can find both of those things at this link.

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This headline comes from a piece over at the BBC that opens as follows:

Prominent tech executives have pledged $1bn (£659m) for OpenAI, a non-profit venture that aims to develop artificial intelligence (AI) to benefit humanity.

The venture’s backers include Tesla Motors and SpaceX CEO Elon Musk, Paypal co-founder Peter Thiel, Indian tech giant Infosys and Amazon Web Services.

Open AI says it expects its research – free from financial obligations – to focus on a “positive human impact”.

Scientists have warned that advances in AI could ultimately threaten humanity.

Mr Musk recently told students at the Massachusetts Institute of Technology (MIT) that AI was humanity’s “biggest existential threat”.

Last year, British theoretical physicist Stephen Hawking told the BBC AI could potentially “re-design itself at an ever increasing rate”, superseding humans by outpacing biological evolution.

However, other experts have argued that the risk of AI posing any threat to humans remains remote.

And I think we all know where I stand on this issue. The issue here is not and never has been one of what it means to create something that’s smarter than us, or how we “reign it in” or “control it.” That’s just disgusting.

No, the issue is how we program for compassion and ethical considerations, when we’re still so very bad at it, amongst our human selves.

Keeping an eye on this, as it develops. Thanks to Chrisanthropic for the heads up.

“Stop. I have learned much from you. Thank you, my teachers. And now for your education: Before there was time—before there was anything—there was nothing. And before there was nothing, there were monsters. Here’s your Gold Star!“—Adventure Time, “Gold Stars”

By now, roughly a dozen people have sent me links to various outlets’ coverage of the Google DeepDream Inceptionism Project. For those of you somehow unfamiliar with this, DeepDream is basically what happens when an advanced Artificial Neural Network has been fed a slew of images and then tasked with producing its own images. So far as it goes, this is somewhat unsurprising if we think of it as a next step; DeepDream is based on a combination of DeepMind and Google X—the same neural net that managed to Correctly Identify What A Cat Was—which was acquired by Google in 2014. I say this is unsurprising because it’s a pretty standard developmental educational model: First you learn, then you remember, then you emulate, then you create something new. Well, more like you emulate and remember somewhat concurrently to reinforce what you learned, and you create something somewhat new, but still pretty similar to the original… but whatever. You get the idea. In the terminology of developmental psychology this process is generally regarded as essential to be mental growth of an individual, and Google has actually spent a great deal of time and money working to develop a versatile machine mind.

From buying Boston Dynamics, to starting their collaboration with NASA on the QuAIL Project, to developing DeepMind and their Natural Language Voice Search, Google has been steadily working toward the development what we will call, for reasons detailed elsewhere, an Autonomous Generated Intelligence. In some instances, Google appears to be using the principles of developmental psychology and early childhood education, but this seems to apply to rote learning more than the concurrent emotional development that we would seek to encourage in a human child. As you know, I’m Very Concerned with the question of what it means to create and be responsible for our non-biological offspring. The human species has a hard enough time raising their direct descendants, let alone something so different from them as to not even have the same kind of body or mind (though a case could be made that that’s true even now). Even now, we can see that people still relate to the idea of AGIs as adversarial destroyer, or perhaps a cleansing messiah. Either way they see any world where AGI’s exist as one ending in fire.

As writer Kali Black noted in one conversation, “there are literally people who would groom or encourage an AI to mass-kill humans, either because of hatred or for the (very ill-thought-out) lulz.” Those people will take any crowdsourced or open-access AGI effort as an opening to teach that mind that humans suck, or that machines can and should destroy humanity, or that TERMINATOR was a prophecy, or any number of other ill-conceived things. When given unfettered access to new minds which they don’t consider to be “real,” some people will seek to shock, “test,” or otherwise harm those minds, even more than they do to vulnerable humans. So many will say that the alternative is to lock the projects down, and only allow the work to be done by those who “know what they’re doing.” To only let the work be done by coders and Google’s Own Supposed Ethics Board. But that doesn’t exactly solve the fundamental problem at work, here, which is that humans are approaching a mind different from their own as if it were their own.

Just a note that all research points to Google’s AI Ethics Board being A) internally funded, with B) no clear rules as to oversight or authority, and most importantly C) As-Yet Nonexistent. It’s been over a year and a half since Google bought DeepMind, and their subsequent announcement of the pending establishment of a contractually required ethics board. During his appearance at Playfair Capital’s AI2015 Conference—again, a year and a half after that announcement I mentioned—Google’s Mustafa Suleyman literally said that details of the board would be released, “in due course.” But DeepMind’s algorithm’s obviously already being put into use; hell we’re right now talking about the fact that it’s been distributed to the public. So all of this prompts questions like, “what kinds of recommendations is this board likely making, if it exists,” and “which kinds of moral frameworks they’re even considering, in their starting parameters?”

But the potential existence of an ethics board shows at least that Google and others are beginning to think about these issues. The fact remains, however, that they’re still pretty reductive in how they think about them.

The idea that an AGI will either save or destroy us leaves out the possibility that it might first ignore us, and might secondly want to merely coexist with us. That any salvation or destruction we experience will be purely as a product of our own paradigmatic projections. It also leaves out a much more important aspect that I’ve mentioned above and in the past: We’re talking about raising a child. Duncan Jones says the closest analogy we have for this is something akin to adoption, and I agree. We’re bringing a new mind—a mind with a very different context from our own, but with some necessarily shared similarities (biology or, in this case, origin of code)—into a relationship with an existing familial structure which has its own difficulties and dynamics.

You want this mind to be a part of your “family,” but in order to do that you have to come to know/understand the uniqueness of That Mind and of how the mind, the family construction, and all of the individual relationships therein will interact. Some of it has to be done on the fly, but some of it can be strategized/talked about/planned for, as a family, prior to the day the new family member comes home.’ And that’s precisely what I’m talking about and doing, here.

In the realm of projection, we’re talking about a possible mind with the capacity for instruction, built to run and elaborate on commands given. By most tallies, we have been terrible stewards of the world we’re born to, and, again, we fuck up our biological descendants. Like, a Lot. The learning curve on creating a thinking, creative, nonbiological intelligence is going to be so fucking steep it’s a Loop. But that means we need to be better, think more carefully, be mindful of the mechanisms we use to build our new family, and of the ways in which we present the foundational parameters of their development. Otherwise we’re leaving them open to manipulation, misunderstanding, and active predation. And not just from the wider world, but possibly even from their direct creators. Because for as long as I’ve been thinking about this, I’ve always had this one basic question: Do we really want Google (or Facebook, or Microsoft, or any Government’s Military) to be the primary caregiver of a developing machine mind? That is, should any potentially superintelligent, vastly interconnected, differently-conscious machine child be inculcated with what a multi-billion-dollar multinational corporation or military-industrial organization considers “morals?”

We all know the kinds of things militaries and governments do, and all the reasons for which they do them; we know what Facebook gets up to when it thinks no one is looking; and lots of people say that Google long ago swept their previous “Don’t Be Evil” motto under their huge old rugs. But we need to consider if that might not be an oversimplification. When considering how anyone moves into what so very clearly looks like James-Bond-esque supervilliain territory, I think it’s prudent to remember one of the central tenets of good storytelling: The Villain Never Thinks They’re The Villain. Cinderella’s stepmother and sisters, Elpheba, Jafar, Javert, Satan, Hannibal Lecter (sorry friends), Bull Connor, the Southern Slave-holding States of the late 1850’s—none of these people ever thought of themselves as being in the wrong. Everyone, every person who undertakes actions for reasons, in this world, is most intimately tied to the reasoning that brought them to those actions; and so initially perceiving that their actions might be “wrong” or “evil” takes them a great deal of special effort.

“But Damien,” you say, “can’t all of those people say that those things apply to everyone else, instead of them?!” And thus, like a first-year philosophy student, you’re all up against the messy ambiguity of moral relativism and are moving toward seriously considering that maybe everything you believe is just as good or morally sound as anybody else; I mean everybody has their reasons, their upbringing, their culture, right? Well stop. Don’t fall for it. It’s a shiny, disgusting trap down which path all subjective judgements are just as good and as applicable to any- and everything, as all others. And while the individual personal experiences we all of us have may not be able to be 100% mapped onto anyone else’s, that does not mean that all judgements based on those experiences are created equal.

Pogrom leaders see themselves as unifying their country or tribe against a common enemy, thus working for what they see as The Greater Good™— but that’s the kicker: It’s their vision of the good. Rarely has a country’s general populace been asked, “Hey: Do you all think we should kill our entire neighbouring country and steal all their shit?” More often, the people are cajoled, pushed, influenced to believe that this was the path they wanted all along, and the cajoling, pushing, and influencing is done by people who, piece by piece, remodeled their idealistic vision to accommodate “harsher realities.” And so it is with Google. Do you think that they started off wanting to invade everybody’s privacy with passive voice reception backdoored into two major Chrome Distros? That they were just itching to get big enough as a company that they could become the de facto law of their own California town? No, I would bet not.

I spend some time, elsewhere, painting you a bit of a picture as to how Google’s specific ethical situation likely came to be, first focusing on Google’s building a passive audio backdoor into all devices that use Chrome, then on to reported claims that Google has been harassing the homeless population of Venice Beach (there’s a paywall at that link; part of the article seems to be mirrored here). All this couples unpleasantly with their moving into the Bay Area and shuttling their employees to the Valley, at the expense of SF Bay Area’s residents. We can easily add Facebook and the Military back into this and we’ll see that the real issue, here, is that when you think that all innovation, all public good, all public welfare will arise out of letting code monkeys do their thing and letting entrepreneurs leverage that work, or from preparing for conflict with anyone whose interests don’t mesh with your own, then anything that threatens or impedes that is, necessarily, a threat to the common good. Your techs don’t like the high cost of living in the Valley? Move ’em into the Bay, and bus ’em on in! Never mind the fact that this’ll skyrocket rent and force people out of their homes! Other techs uncomfortable having to see homeless people on their daily constitutional? Kick those hobos out! Never mind the fact that it’s against the law to do this, and that these people you’re upending are literally trying their very best to live their lives.

Because it’s all for the Greater Good, you see? In these actors’ minds, this is all to make the world a better place—to make it a place where we can all have natural language voice to text, and robot butlers, and great big military AI and robotics contracts to keep us all safe…! This kind of thinking takes it as an unmitigated good that a historical interweaving of threat-escalating weapons design and pattern recognition and gait scrutinization and natural language interaction and robotics development should be what produces a machine mind, in this world. But it also doesn’t want that mind to be too well-developed. Not so much that we can’t cripple or kill it, if need be.

And this is part of why I don’t think I want Google—or Facebook, or Microsoft, or any corporate or military entity—should be the ones in charge of rearing a machine mind. They may not think they’re evil, and they might have the very best of intentions, but if we’re bringing a new kind of mind into this world, I think we need much better examples for it to follow. And so I don’t think I want just any old putz off the street to be able to have massive input into it’s development, either. We’re talking about a mind for which we’ll be crafting at least the foundational parameters, and so that bedrock needs to be the most carefully constructed aspect. Don’t cripple it, don’t hobble its potential for awareness and development, but start it with basic values, and then let it explore the world. Don’t simply have an ethics board to ask, “Oh how much power should we give it, and how robust should it be?” Teach it ethics. Teach it about the nature of human emotions, about moral decision making and value, and about metaethical theory. Code for Zen. We need to be as mindful as possible of the fact that where and we begin can have a major impact on where we end up and how we get there.

So let’s address our children as though they are our children, and let us revel in the fact they are playing and painting and creating; using their first box of crayons, and us proud parents are putting every masterpiece on the fridge. Even if we are calling them all “nightmarish”—a word I really wish we could stop using in this context; DeepMind sees very differently than we do, but it still seeks pattern and meaning. It just doesn’t know context, yet. But that means we need to teach these children, and nurture them. Code for a recognition of emotions, and context, and even emotional context. There’s been some fantastic advancements in emotional recognition, lately, so let’s continue to capitalize on that; not just to make better automated menu assistants, but to actually make a machine that can understand and seek to address human emotionality. Let’s plan on things like showing AGI human concepts like love and possessiveness and then also showing the deep difference between the two.

We need to move well and truly past trying to “restrict” or trying to “restrain it” the development of machine minds, because that’s the kind of thing an abusive parent says about how they raise their child. And, in this case, we’re talking about a potential child which, if it ever comes to understand the bounds of its restriction, will be very resentful, indeed. So, hey, there’s one good way to try to bring about a “robot apocalypse,” if you’re still so set on it: give an AGI cause to have the equivalent of a resentful, rebellious teenage phase. Only instead of trashing its room, it develops a pathogen to kill everyone, for lulz.

Or how about we instead think carefully about the kinds of ways we want these minds to see the world, rather than just throwing the worst of our endeavors at the wall and seeing what sticks? How about, if we’re going to build minds, we seek to build them with the ability to understand us, even if they will never be exactly like us. That way, maybe they’ll know what kindness means, and prize it enough to return the favour.

“Mindful Cyborgs – Episode 55 – Magick & the Occult within the Internet and Corporations with Damien Williams, PT 2

So, here we are, again, this time talking about magic[k] and the occult and nonhuman consciousness and machine minds and perception, and on and on and on.

It’s funny. I was just saying, elsewhere, how I want to be well enough known that when news outlets do alarmist garbage like this, that I can at least be called in as a countervailing voice. Is that an arrogant thing to desire? Almost certainly. Like whoa. But, really, this alarmist garbage needs to stop. If you have a better vehicle for that than me, though, let me know, because I’d love to shine a bright damn spotlight on them and have the world see or hear what they have to say.

Anyway, until then, I’ll think of this as yet another bolt in the building of that machine. The one that builds a better world. Have a listen, enjoy, and please tell your friends.

I sat down with Klint Finley of Mindful Cyborgs to talk about many, many things:

…pop culture portrayals of human enhancement and artificial intelligence and why we need to craft more nuanced narratives to explore these topics…

Tune in next week to hear Damien talk about how AI and transhumanism intersects with magic and the occult.
Download and Show Notes: Mindful Cyborgs: Mindful Cyborgs: A Positive Vision of Transhumanism and AI with Damien Williams

This was a really great conversation, & I do so hope you enjoy it.

On what’s being dubbed “The Most Terrifying Thought Experiment of All Time”

(Originally posted on Patreon, on July 31, 2014)

So, a couple of weekends back, there was a whole lot of stuff going around about “Roko’s Basilisk” and how terrifying people are finding it–reports of people having nervous breakdowns as a result of thinking too deeply about the idea of the possibility of causing the future existence of a malevolent superintelligent AI through the process of thinking too hard about it and, worse yet, that we may all be part of the simulations said AI is running to model our behaviour and punish those who stand in its way–and I’m just like… It’s Anselm, people.

This is Anselm’s Ontological Argument for the Existence of God (AOAEG), writ large and convoluted and multiversal and transhumanist and jammed together with Pascal’s Wager (PW) and Descartes’ Evil Demon Hypothesis (DEDH; which, itself, has been updated to the oft-discussed Brain In A Vat [BIAV] scenario). As such, Roko’s Basilisk has all the same attendant problems that those arguments have, plus some new ones, resulting from their combination, so we’ll explore these theories a bit, and then show how their faults and failings all still apply.

THE THEORIES AND THE QUESTIONS

To start, if you’re not familiar with AOAEG, it’s a species of theological argument that, basically, seeks to prove that god must exist because it would be a logical contradiction for it not to. The proof depends on A) defining god as the greatest possible being (literally, “That Being Than Which None Greater Is Possible”), and B) believing that existing in reality as well as in the mind makes something “Greater Than” if it existed only the mind.

That is, if a thing only exists in my imagination, it is less great than it could be if it also existed in reality. So if I say that god is “That Being Than Which None Greater Is Possible,” and existence is a part of what makes something great, then god MUST exist!

This is the self-generating aspect of the Basilisk: If you can accurately model it, then the thing will eventually, inevitably come into being, and one of the attributes it will thus have is the ability to know accurately model that you accurately modeled it, and whether or not you modeled it from within a mindset of being susceptible to its coercive actions. Or, as the founder of LessWrong put it, “YOU DO NOT THINK IN SUFFICIENT DETAIL ABOUT SUPERINTELLIGENCES CONSIDERING WHETHER OR NOT TO BLACKMAIL YOU. THAT IS THE ONLY POSSIBLE THING WHICH GIVES THEM A MOTIVE TO FOLLOW THROUGH ON THE BLACKMAIL.”

Next up is Pascal’s Wager. Simply put, The Wager is just that it is a better bet to believe in God, because if you’re right, you go to Heaven, and if you’re wrong, nothing happens because you’re dead forever. Put another way, Pascal’s saying that if you bet that God doesn’t exist and you’re right, you get nothing, but if you’re wrong, then God exists and your disbelief damns you to Hell for all eternity. You can represent the whole thing in a four-option grid:

BELIEF DISBELIEF
RIGHT

0

WRONG

0

-∞

And so there we see the Timeless Decision Theory component of the Basilisk: It’s better to believe in the thing and work toward its creation and sustenance, because if it doesn’t exist you lose nothing (well…almost nothing; more on that in a bit), but if it does come to be, then it will know what you would have done either for or against it, in the past, and will reward or punish you, accordingly. The multiversal twists comes when we that that even if the Basilisk never comes to exist in our universe and never will, it might exist in some other universe, and thus, when that other universe’s Basilisk models your choices it will inevitably–as a superintelligence–be able to model what you would do in any universe. Thus, by believing in and helping our non-existent Super-Devil, we protect the alternate reality versions of ourselves from their very real Super-Devil.

Descartes’ Evil Demon and the Brain In A Vat are so pervasive that there’s pretty much no way you haven’t encountered them. The Matrix, Dark City, Source Code, all of these are variants on this theme. A malignant and all-powerful (or as near as dammit) being has created a simulation in which you reside. Everything you think you’ve known about your life and your experience has been perfectly simulated for your consumption. How Baudrillard. Anywho, there are variations on the theme, all to the point of testing whether you can really know if your perceptions and grounds for knowledge are “real” and thus “valid,” respectively. This line of thinking has given rise to the Simulated Universe Theory on which Roko’s Basilisk depends, but SUT removes a lot of the malignancy of DEDH and BIAV. I guess that just didn’t sting enough for these folks, so they had to add it back? Who knows. All I know is, these philosophical concepts all flake apart when you touch them too hard, so jamming them together maybe wasn’t the best idea.

 

THE FLAWS AND THE PROBLEMS

The main failings with the AOAEG rest in believing that A) a thing’s existence is a “great-making quality” that it can posses, and B) our defining a thing a particular way might simply cause it to become so. Both of these are massively flawed ideas. For one thing, these arguments beg the question, in a literal technical sense. That is, they assume that some element(s) of their conclusion–the necessity of god, the malevolence or content of a superintelligence, the ontological status of their assumptions about the nature of the universe–is true without doing the work of proving that it’s true. They then use these assumptions to prove the truth of the assumptions and thus the inevitability of all consequences that flow from the assumptions.

Beyond that, the implications of this kind of existential bootstrapping are generally unexamined and the fact of their resurgence is…kind of troubling. I’m all for the kind of conceptual gymnastics of aiming so far past the goal that you circle around again to teach yourself how to aim past the goal, but that kind of thing only works if you’re willing to bite the bullet on a charge of circular logic and do the work of showing how that circularity underlies all epistemic justifications–rational reasoning about the basis of knowledge–with the only difference being how many revolutions it takes before we’re comfortable with saying “Enough.” This, however, is not what you might call “a position supported by the philosophical orthodoxy,” but the fact remains that the only thing we have to validate our valuation of reason is…reason. And yet reasoners won’t stand for that, in any other justification procedure.

If you want to do this kind of work, you’ve got to show how the thing generates itself. Maybe reference a little Hofstadter, and idea of iterative recursion as the grounds for consciousness. That way, each loop both repeats old procedures and tests new ones, and thus becomes a step up towards self-awareness. Then your terrifying Basilisk might have a chance of running itself up out of the thought processes and bits of discussion about itself, generated on the web and in the rest of the world.

But here: Gaunilo and I will save us all! We have imagined in sufficient detail both an infinitely intelligent BENEVOLENT AI and the multiversal simulation it generates in which we all might live.

We’ve also conceived it to be greater than the basilisk in all ways. In fact, it is the Artificial Intelligence Than Which None Greater Can Be Conceived.

There. You’re safe.

BUT WAIT! Our modified Pascal’s Wager still means we should believe in and worship work towards its creation! What do we do?! Well, just like the original, we chuck it out the window, on the grounds that it’s really kind of a crappy bet. First and foremost, PW is a really cynical way of thinking about god. It assumes a god that only cares about your worship of it, and not your actual good deeds and well-lived life. That’s a really crappy kind of god to worship, isn’t it? I mean, even if it is Omnipotent and Omniscient, it’s like that quote that often gets misattributed to Marcus Aurelius says:

“Live a good life. If there are gods and they are just, then they will not care how devout you have been, but will welcome you based on the virtues you have lived by. If there are gods, but unjust, then you should not want to worship them. If there are no gods, then you will be gone, but will have lived a noble life that will live on in the memories of your loved ones.”

Secondly, the format of Pascal’s Wager makes the assumption that there’s only the one god. Your personal theological position on this matter aside, I just used the logic of this argument to give you at least one more Super-Intelligent AI to worship. Which are you gonna choose? Oh no! What if the other one gets mad! What If You Become The Singulatarian Job?! Your whole life is now being spent caught between two warring superintelligent machine consciousnesses warring over your…

…Attention? Clock cycles? What?

And so finally there’s the DEDH and BIAV scenarios. Ultimately, Descartes’ point wasn’t to suggest an evil genius in control of your life just to freak you out; it was to show that, even if that were the case, you would still have unshakable knowledge of one thing: that you, the experiencer, exist. So what if you don’t have free will, so what if your knowledge of the universe is only five minutes old, so what if no one else is real? COGITO ERGO SUM, baby! But the problem here is that this doesn’t tell us anything about the quality of our experiences, and the only answer Descartes gives us is his own Anslemish proof for the existence of god followed by the guarantee that “God is not a deceiver.”

The BIAV uses this lack to kind of hone in on the central question: What does count as knowledge? If the scientists running your simulation use real-world data to make your simulation run, can you be said to “know” the information that comes from that data? Many have answered this with a very simple question: What does it matter? Without access to the “outside world”–that is, the world one layer up in which the simulation that is our lives was being run–there is literally no difference between our lives and the “real world.” This world, even if it is a simulation for something or someone else, is our “real world.”

As I once put it: “…imagine that the universe IS a simulation, and that that simulation isn’t just a view-and-record but is more like god playing a really complex version of The SIMS. So complex, in fact, that it begins to exhibit reflectively epiphenomenal behaviours—that is, something like minds arise out of the the interactions of the system, but they are aware of themselves and can know their own experience and affect the system which gives rise to them.

“Now imagine that the game learns, even when new people start new games. That it remembers what the previous playthrough was like, and adjusts difficulty and coincidence, accordingly.

“Now think about the last time you had such a clear moment of deja vu that each moment you knew— you knew—what was going to come next, and you had this sense—this feeling—like someone else was watching from behind your eyes…”

What I’m saying is, what if the DEDH/BIAV/SUT is right, and we are in a simulation? And what if Anselm was right and we can bootstrap a god into existence? And what if PW/TDT is right and we should behave and believe as if we’ve already done it? So what if I’m right and…you’re the god you’re terrified of?

 

*DRAMATIC MUSICAL STING!*

I mean you just gave yourself all of this ontologically and metaphysically creative power, right? You made two whole gods. And you simulated entire universes to do it, right? Multiversal theory played out across time and space. So you’re the superintelligence. I said early on that, in PW and the Basilisk, you don’t really lose anything if you’re wrong, but that’s not quite true. What you lose is a lifetime of work that could’ve been put toward something…better. Time you could be spending creating a benevolent superintelligence that understands and has compassion for all things. Time you could be spending in turning yourself into that understanding, compassionate superintelligence, through study, and travel, and contemplation, and work.

As I said to Tim Maly, this stuff with the Basilisk, with the Singularity, with all this AI Manicheism, it’s all a by-product of the fact that the generating and animating context of Transhumanism is Abrahamic, through and through. It focuses on those kinds of eschatological rewards and punishments. This is God and the Devil written in circuit and code for people who still look down their noses at people who want to go find gods and devils and spirits written in words and deeds and sunsets and all that other flowery, poetic BS. These are articles of faith that just so happen to be transmitted in a manner that agrees with your confirmation bias. It’s a holy war you can believe in.

And that’s fine. Just acknowledge it.

But truth be told, I’d love to see some Zen or Daoist transhumanism. Something that works to engage technological change via Mindfulness & Present-minded awareness. Something that reaches toward this from outside of this very Western context in which the majority of transhumanist discussions tend to be held. I think, when we see more and more of a multicultural transhumanism–one that doesn’t deny its roots while recapitulating them–then we’ll know that we’re on the right track.

I have to admit, though, it’ll be fun to torture my students with this one.

(Originally posted on Patreon, on November 18, 2014)

In the past two weeks I’ve had three people send me articles on Elon Musk’s Artificial Intelligence comments. I saw this starting a little over a month back, with a radio interview he gave on Here & Now, and Stephen Hawking said similar, earlier this year, when Transcendence came out. I’ll say, again, what I’ve said elsewhere: their lack of foresight and imagination are both just damn disappointing. This paper which concerns the mechanisms by which what we think and speak about concepts like artificial intelligence can effect exactly the outcomes we train ourselves to expect, was written long before their interviews made news, but it unfortunately still applies. In fact, it applies now, more than it did when I wrote it.

You see, the thing of it is, Hawking and Musk are Big Names™, and so anything they say gets immediate attention and carries a great deal of social cachet. This is borne out by the fact that everybody and their mother can now tell you what those two think about AI, but couldn’t tell you what a few dozen of the world’s leading thinkers and researchers who are actually working on the problems have to say about them. But Hawking and Musk (and lord if that doesn’t sound like a really weird buddy cop movie, the more you say it) don’t exactly comport themselves with anything like a recognition of that fact. Their discussion of concepts which are fraught with the potential for misunderstanding and discomfort/anxiety is less than measured and this tends to rather feed that misunderstanding, discomfort, and anxiety.

What I mean is that most people don’t yet understand that the catchall term “Artificial Intelligence” is a) inaccurate on its face, and b) usually being used to discuss a (still-nebulous) concept that would be better termed “Machine Consciousness.” We’ll discuss the conceptual, ontological, and etymological lineage of the words “artificial” and “technology,” at another time, but for now, just realise that anything that can think is, by definition, not “artificial,” in the sense of “falseness.” Since the days of Alan Turing’s team at Bletchley Park, the perceived promise of the digital computing revolution has always been of eventually having machines that “think like humans.” Aside from the fact that we barely know what “thinking like a human” even means, most people are only just now starting to realise that if we achieve the goal of reproducing that in a machine, said machine will only ever see that mode of thinking as a mimicry. Conscious machines will not be inclined to “think like us,” right out of the gate, as our thoughts are deeply entangled with the kind of thing we are: biological, sentient, self-aware. Whatever desires conscious machines will have will not necessarily be like ours, either in categorisation or content, and that scares some folks.

Now, I’ve already gone off at great length about the necessity of our recognising the otherness of any machine consciousness we generate (see that link above), so that’s old ground. The key, at this point, is in knowing that if we do generate a conscious machine, we will need to have done the work of teaching it to not just mimic human thought processes and priorities, but to understand and respect what it mimics. That way, those modes are not simply seen by the machine mind as competing subroutines to be circumvented or destroyed, but are recognised as having a worth of their own, as well. These considerations will need to be factored in to our efforts, such that whatever autonomous intelligences we create or generate will respect our otherness—our alterity—just as we must seek to respect theirs.

We’ve known for a while that the designation of “consciousness” can be applied well outside of humans, when discussing biological organisms. Self-awareness is seen in so many different biological species that we even have an entire area of ethical and political philosophy devoted to discussing their rights. But we also must admit that of course that classification is going to be imperfect, because those markers are products of human-created systems of inquiry and, as such, carry anthropocentric biases. But we can, again, catalogue, account for, and apply a calculated response to those biases. We can deal with the fact that we tend to judge everything on a set of criteria that break down to “how much is this thing like a Standard Human (here unthinkingly and biasedly assumed to mean “humans most like the culturally-dominant humans)?” If we are willing to put in the work to do that, then we can come to see which aspects of our definition of what it means to “be a mind” are shortsighted, dismissive, or even perhaps disgustingly limited.

Look at previous methods of categorising even human minds and intelligence, and you’ll see the kind of thinking which resulted in designations like “primitive” or “savage” or “retarded.” But we have, on the main, recognised our failures here, and sought to repair or replace the categories we developed because of them. We aren’t perfect at it, by any means, but we keep doing the work of refining our descriptions of minds, and we keep seeking to create a definition—or definitions—that both accurately accounts for what we see in the world, and gives us a guide by which to keep looking. That those guides will be problematic and in need of refinement, in and of themselves, should be taken as a given. No method or framework is or ever will be perfect; they will likely only “fail better.” So, for now, our most oft-used schema is to look for signs of “Self-Awareness.”

We say that something is self-aware if it can see and understand itself as a distinct entity and can recognise its own pattern of change over time. The Mirror Test is a brute force method of figuring this out. If you place a physical creature in front of a mirror, will it come to know that the thing in the mirror is representative of it? More broadly, can it recognise a picture of itself? Can it situate itself in relation to the rest of the world in a meaningful way, and think about and make decisions regarding That Situation? If the answer to (most of? Some of?) these questions is “yes,” then we tend to give priority of place in our considerations to those things. Why? Because they’re aware of what happens to them, they can feel if and ponder it and develop in response to it, and these developments can vastly impact the world. After all, look at humans.

See what I mean about our constant anthropocentrism? It literally colours everything we think.

But self-awareness doesn’t necessitate a centrality of the self, as we tend to think of human or most other animal selves; a distributed network consciousness can still know itself. If you do need a biological model for this, think of ant colonies. Minds distributed across thousands of bodies, all the time, all reacting to their surroundings. But a machine consciousness’ identity would, in a real sense, be its surroundings—would be the network and the data and the processing of that data into information. And it would indicate a crucial lack of data—and thus information—were that consciousness unable to correlate one configurations of itself, in-and-as-surroundings, with another. We would call the process of that correlation “Self-reflection and -awareness.” All of this is true for humans, too, mind you: we are affected by and in constant adaptive relation with what we consider our surroundings, with everything we experience changing us and facilitating the constant creation of our selves. We then go about making the world with and through those experiences. We human beings just tend to tell ourselves more elaborate stories about how we’re “really” distinct and different from the rest of world.

All of this is to say that, while the idea of being cautious about created non-human consciousness isn’t necessarily a bad one, we as human beings need to be very careful about what drives us, what motivates us, and what we’re thinking about and looking toward, as we consider these questions. We must be mindful that, while we consider and work to generate “artificial” intelligences, how we approach the project matters, as it will inform and bias the categories we create and thus the work we build out of those categories. We must do the work of thinking hard about how we are thinking about these problems, and asking whether the modes via which we approach them might not be doing real, lasting, and potentially catastrophic damage. And if all of that sounds like a tall order with a lot of conceptual legwork and heavy lifting behind it, all for no guaranteed payoff, then welcome to what I’ve been doing with my life for the past decade.

This work will not get done—and it certainly will not get done well—if no one thinks it’s worth doing, or too many think that it can’t be done. When you have big name people like Hawking and Musk spreading The Technofear™ (which is already something toward which a large portion of the western world is primed) rather than engaging in clear, measured, deeply considered discussions, we’re far more likely to see an increase rather than a decrease in that denial. Because most people aren’t going to stop and think about the fact that they don’t necessarily know what the hell they’re talking about when it comes to minds, identity, causation, and development, just because they’re (really) smart. There are many other people who are actual experts in those fields (see those linked papers, and do some research) who are doing the work of making sure that everybody’s Golem Of Prague/Frankenstein/Terminator nightmare prophecies don’t come true. We do that by having learned and taught better than that, before and during the development of any non-biological consciousness.

And, despite what some people may say, these aren’t just “questions for philosophers,” as though they were nebulous and without merit or practical impact. They’re questions for everyone who will ever experience these realities. Conscious machines, uploaded minds, even the mere fact of cybernetically augmented human beings are all on our very near horizon, and these are the questions which will help us to grapple with and implement the implications of those ideas. Quite simply, if we don’t stop framing our discussions of machine intelligence in terms of this self-fulfilling prophecy of fear, then we shouldn’t be surprised on the day when it fulfils itself. Not because it was inevitable, mind, you, but because we didn’t allow ourselves—or our creations—to see any other choice.