autonomously creative intelligence

All posts tagged autonomously creative intelligence

As you already know, we went to the second Juvet A.I. Retreat, back in September. If you want to hear several of us talk about what we got up to at the then you’re in luck because here are several conversations conducted by Ben Byford of the Machine Ethics Podcast.

I am deeply grateful to Ben Byford for asking me to sit down and talk about this with him. I talk a great deal, and am surprisingly able to (cogently?) get on almost all of my bullshit—technology and magic and the occult, nonhuman personhood, the sham of gender and race and other social constructions of expected lived categories, the invisible architecture of bias, neurodiversity, and philosophy of mind—in a rather short window of time.So that’s definitely something… Continue Reading

Kirsten and I spent the week between the 17th and the 21st of September with 18 other utterly amazing people having Chatham House Rule-governed conversations about the Future of Artificial Intelligence.

We were in Norway, in the Juvet Landscape Hotel, which is where they filmed a lot of the movie Ex Machina, and it is even more gorgeous in person. None of the rooms shown in the film share a single building space. It’s astounding as a place of both striking architectural sensibility and also natural integration as they built every structure in the winter to allow the dormancy cycles of the plants and animals to dictate when and where they could build, rather than cutting anything down.

And on our first full day here, Two Ravens flew directly over my and Kirsten’s heads.

Yes.

[Image of a rainbow rising over a bend in a river across a patchy overcast sky, with the river going between two outcropping boulders, trees in the foreground and on either bank and stretching off into the distance, and absolutely enormous mountains in the background]

I am extraordinarily grateful to Andy Budd and the other members of the Clear Left team for organizing this, and to Cennydd Bowles for opening the space for me to be able to attend, and being so forcefully enthused about the prospect of my attending that he came to me with a full set of strategies in hand to get me to this place. That kind of having someone in your corner means the world for a whole host of personal reasons, but also more general psychological and socially important ones, as well.

I am a fortunate person. I am a person who has friends and resources and a bloody-minded stubbornness that means that when I determine to do something, it will more likely than not get fucking done, for good or ill.

I am a person who has been given opportunities to be in places many people will never get to see, and have conversations with people who are often considered legends in their fields, and start projects that could very well alter the shape of the world on a massive scale.

Yeah, that’s a bit of a grandiose statement, but you’re here reading this, and so you know where I’ve been and what I’ve done.

I am a person who tries to pay forward what I have been given and to create as many spaces for people to have the opportunities that I have been able to have.

I am not a monetarily wealthy person, measured against my society, but my wealth and fortune are things that strike me still and make me take stock of it all and what it can mean and do, all over again, at least once a week, if not once a day, as I sit in tension with who I am, how the world perceives me, and what amazing and ridiculous things I have had, been given, and created the space to do, because and in violent spite of it all.

So when I and others come together and say we’re going to have to talk about how intersectional oppression and the lived experiences of marginalized peoples affect, effect, and are affected and effected BY the wider techoscientific/sociotechnical/sociopolitical/socioeconomic world and what that means for how we design, build, train, rear, and regard machine minds, then we are going to have to talk about how intersectional oppression and the lived experiences of marginalized peoples affect, effect, and are affected and effected by the wider techoscientific/sociotechnical/sociopolitical/socioeconomic world and what that means for how we design, build, train, rear, and regard machine minds.

So let’s talk about what that means.

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Late last month, I was at Theorizing the Web, in NYC, to moderate Panel B3, “Bot Phenomenology,” in which I was very grateful to moderate a panel of people I was very lucky to be able to bring together. Johnathan Flowers, Emma Stamm, and Robin Zebrowski were my interlocutors in a discussion about the potential nature of nonbiological phenomenology. Machine consciousness. What robots might feel.

I led them through with questions like “What do you take phenomenology to mean?” and “what do you think of the possibility of a machine having a phenomenology of its own?” We discussed different definitions of “language” and “communication” and “body,” and unfortunately didn’t have a conversation about how certain definitions of those terms mean that what would be considered language between cats would be a cat communicating via signalling to humans.

It was a really great conversation and the Live Stream video for this is here, and linked below (for now, but it may go away at some point, to be replaced by a static youtube link; when I know that that’s happened, I will update links and embeds, here).

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[Direct link to Mp3]

My second talk for the SRI International Technology and Consciousness Workshop Series was about how nonwestern philosophies like Buddhism, Hinduism, and Daoism can help mitigate various kinds of bias in machine minds and increase compassion by allowing programmers and designers to think from within a non-zero-sum matrix of win conditions for all living beings, meaning engaging multiple tokens and types of minds, outside of the assumed human “default” of straight, white, cis, ablebodied, neurotypical male. I don’t have a transcript, yet, and I’ll update it when I make one. But for now, here are my slides and some thoughts.

A Discussion on Daoism and Machine Consciousness (Slides as PDF)

(The translations of the Daoist texts referenced in the presentation are available online: The Burton Watson translation of the Chuang Tzu and the Robert G. Hendricks translation of the Tao Te Ching.)

A zero-sum system is one in which there are finite resources, but more than that, it is one in which what one side gains, another loses. So by “A non-zero-sum matrix of win conditions” I mean a combination of all of our needs and wants and resources in such a way that everyone wins. Basically, we’re talking here about trying to figure out how to program a machine consciousness that’s a master of wu-wei and limitless compassion, or metta.

The whole week was about phenomenology and religion and magic and AI and it helped me think through some problems, like how even the framing of exercises like asking Buddhist monks to talk about the Trolley Problem will miss so much that the results are meaningless. That is, the trolley problem cases tend to assume from the outset that someone on the tracks has to die, and so they don’t take into account that an entire other mode of reasoning about sacrifice and death and “acceptable losses” would have someone throw themselves under the wheels or jam their body into the gears to try to stop it before it got that far. Again: There are entire categories of nonwestern reasoning that don’t accept zero-sum thought as anything but lazy, and which search for ways by which everyone can win, so we’ll need to learn to program for contradiction not just as a tolerated state but as an underlying component. These systems assume infinitude and non-zero-sum matrices where every being involved can win.

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Last week, Artsy.net’s Izabella Scott wrote this piece about how and why the aesthetic of witchcraft is making a comeback in the art world, which is pretty pleasantly timed as not only are we all eagerly awaiting Kim Boekbinder’s NOISEWITCH, but I also just sat down with Rose Eveleth for the Flash Forward Podcast to talk for her season 2 finale.

You see, Rose did something a little different this time. Instead of writing up a potential future and then talking to a bunch of amazing people about it, like she usually does, this episode’s future was written by an algorithm. Rose trained an algorithm called Torch not only on the text of all of the futures from both Flash Forward seasons, but also the full scripts of both the War of the Worlds and the 1979 Hitchhiker’s Guide to the Galaxy radio plays. What’s unsurprising, then, is that part of what the algorithm wanted to talk about was space travel and Mars. What is genuinely surprising, however, is that what it also wanted to talk about was Witches.

Because so far as either Rose or I could remember, witches aren’t mentioned anywhere in any of those texts.

ANYWAY, the finale episode is called “The Witch Who Came From Mars,” and the ensuing exegeses by several very interesting people and me of the Bradbury-esque results of this experiment are kind of amazing. No one took exactly the same thing from the text, and the more we heard of each other, the more we started to weave threads together into a meta-narrative.

Episode 20: The Witch Who Came From Mars

It’s really worth your time, and if you subscribe to Rose’s Patreon, then not only will you get immediate access to the full transcript of that show, but also to the full interview she did with PBS Idea Channel’s Mike Rugnetta. They talk a great deal about whether we will ever deign to refer to the aesthetic creations of artificial intelligences as “Art.”

And if you subscribe to my Patreon, then you’ll get access to the full conversation between Rose and me, appended to this week’s newsletter, “Bad Month for Hiveminds.” Rose and I talk about the nature of magick and technology, the overlaps and intersections of intention and control, and what exactly it is we might mean by “behanding,” the term that shows up throughout the AI’s piece.

And just because I don’t give a specific shoutout to Thoth and Raven doesn’t mean I forgot them. Very much didn’t forget about Raven.

Also speaking of Patreon and witches and whatnot, current $1+ patrons have access to the full first round of interview questions I did with Eliza Gauger about Problem Glyphs. So you can get in on that, there, if you so desire. Eliza is getting back to me with their answers to the follow-up questions, and then I’ll go about finishing up the formatting and publishing the full article. But if you subscribe now, you’ll know what all the fuss is about well before anybody else.

And, as always, there are other ways to provide material support, if longterm subscription isn’t your thing.

Until Next Time.


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Here’s the direct link to my paper ‘The Metaphysical Cyborg‘ from Laval Virtual 2013. Here’s the abstract:

“In this brief essay, we discuss the nature of the kinds of conceptual changes which will be necessary to bridge the divide between humanity and machine intelligences. From cultural shifts to biotechnological integration, the project of accepting robotic agents into our lives has not been an easy one, and more changes will be required before the majority of human societies are willing and able to allow for the reality of truly robust machine intelligences operating within our daily lives. Here we discuss a number of the questions, hurdles, challenges, and potential pitfalls to this project, including examples from popular media which will allow us to better grasp the effects of these concepts in the general populace.”

The link will only work from this page or the CV page, so if you find yourself inclined to spread this around, use this link. Hope you enjoy it.

In case you were unaware, last Tuesday, June 21, Reuters put out an article about an EU draft plan regarding the designation of so-called robots and artificial intelligences as “Electronic Persons.” Some of you’d think I’d be all about this. You’d be wrong. The way the Reuters article frames it makes it look like the EU has literally no idea what they’re doing, here, and are creating a situation that is going to have repercussions they have nowhere near planned for.

Now, I will say that looking at the actual Draft, it reads like something with which I’d be more likely to be on board. Reuters did no favours whatsoever for the level of nuance in this proposal. But that being said, this focus of this draft proposal seems to be entirely on liability and holding someone—anyone—responsible for any harm done by a robot. That, combined with the idea of certain activities such as care-giving being “fundamentally human,” indicates to me that this panel still widely misses many of the implications of creating a new category for nonbiological persons, under “Personhood.”

The writers of this draft very clearly lay out the proposed scheme for liability, damages, and responsibilities—what I like to think of of as the “Hey… Can we Punish Robots?” portion of the plan—but merely use the phrase “certain rights” to indicate what, if any, obligations humans will have. In short, they do very little to discuss what the “certain rights” indicated by that oft-deployed phrase will actually be.

So what are the enumerated rights of electronic persons? We know what their responsibilities are, but what are our responsibilities to them? Once we have have the ability to make self-aware machine consciousnesses, are we then morally obliged to make them to a particular set of specifications, and capabilities? How else will they understand what’s required of them? How else would they be able to provide consent? Are we now legally obliged to provide all autonomous generated intelligences with as full an approximation of consciousness and free will as we can manage? And what if we don’t? Will we be considered to be harming them? What if we break one? What if one breaks in the course of its duties? Does it get workman’s comp? Does its owner?

And hold up, “owner?!” You see we’re back to owning people, again, right? Like, you get that?

And don’t start in with that “Corporations are people, my friend” nonsense, Mitt. We only recognise corporations as people as a tax dodge. We don’t take seriously their decision-making capabilities or their autonomy, and we certainly don’t wrestle with the legal and ethical implications of how radically different their kind of mind is, compared to primates or even cetaceans. Because, let’s be honest: If Corporations really are people, then not only is it wrong to own them, but also what counts as Consciousness needs to be revisited, at every level of human action and civilisation.

Let’s look again at the fact that people are obviously still deeply concerned about the idea of supposedly “exclusively human” realms of operation, even as we still don’t have anything like a clear idea about what qualities we consider to be the ones that make us “human.” Be it cooking or poetry, humans are extremely quick to lock down when they feel that their special capabilities are being encroached upon. Take that “poetry” link, for example. I very much disagree with Robert Siegel’s assessment that there was no coherent meaning in the computer-generated sonnets. Multiple folks pulled the same associative connections from the imagery. That might be humans projecting onto the authors, but still: that’s basically what we do with Human poets. “Authorial Intent” is a multilevel con, one to which I fully subscribe and From which I wouldn’t exclude AI.

Consider people’s reactions to the EMI/Emily Howell experiments done by David Cope, best exemplified by this passage from a PopSci.com article:

For instance, one music-lover who listened to Emily Howell’s work praised it without knowing that it had come from a computer program. Half a year later, the same person attended one of Cope’s lectures at the University of California-Santa Cruz on Emily Howell. After listening to a recording of the very same concert he had attended earlier, he told Cope that it was pretty music but lacked “heart or soul or depth.”

We don’t know what it is we really think of as humanness, other than some predetermined vague notion of humanness. If the people in the poetry contest hadn’t been primed to assume that one of them was from a computer, how would they have rated them? What if they were all from a computer, but were told to expect only half? Where are the controls for this experiment in expectation?

I’m not trying to be facetious, here; I’m saying the EU literally has not thought this through. There are implications embedded in all of this, merely by dint of the word “person,” that even the most detailed parts of this proposal are in no way equipped to handle. We’ve talked before about the idea of encoding our bias into our algorithms. I’ve discussed it on Rose Eveleth‘s Flash Forward, in Wired, and when I broke down a few of the IEEE Ethics 2016 presentations (including my own) in “Preying with Trickster Gods ” and “Stealing the Light to Write By.” My version more or less goes as I said it in Wired: ‘What we’re actually doing when we code is describing our world from our particular perspective. Whatever assumptions and biases we have in ourselves are very likely to be replicated in that code.’

More recently, Kate Crawford, whom I met at Magick.Codes 2014, has written extremely well on this in “Artificial Intelligence’s White Guy Problem.” With this line, ‘Sexism, racism and other forms of discrimination are being built into the machine-learning algorithms that underlie the technology behind many “intelligent” systems that shape how we are categorized and advertised to,’ Crawford resonates very clearly with what I’ve said before.

And considering that it’s come out this week that in order to even let us dig into these potentially deeply-biased algorithms, here in the US, the ACLU has had to file a suit against a specific provision of the Computer Fraud and Abuse Act, what is the likelihood that the EU draft proposal committee has considered what will take to identify and correct for biases in these electronic persons? How high is the likelihood that they even recognise that we anthropocentrically bias every system we touch?

Which brings us to this: If I truly believed that the EU actually gave a damn about the rights of nonhuman persons, biological or digital, I would be all for this draft proposal. But they don’t. This is a stunt. Look at the extant world refugee crisis, the fear driving the rise of far right racists who are willing to kill people who disagree with them, and, yes, even the fact that this draft proposal is the kind of bullshit that people feel they have to pull just to get human workers paid living wages. Understand, then, that this whole scenario is a giant clusterfuck of rights vs needs and all pitted against all. We need clear plans to address all of this, not just some slapdash, “hey, if we call them people and make corporations get insurance and pay into social security for their liability cost, then maybe it’ll be a deterrent” garbage.

There is a brief, shining moment in the proposal, right at point 23 under “Education and Employment Forecast,” where they basically say “Since the complete and total automation of things like factory work is a real possibility, maybe we’ll investigate what it would look like if we just said screw it, and tried to institute a Universal Basic Income.” But that is the one moment where there’s even a glimmer of a thought about what kinds of positive changes automation and eventually even machine consciousness could mean, if we get out ahead of it, rather than asking for ways to make sure that no human is ever, ever harmed, and that, if they are harmed—either physically or as regards their dignity—then they’re in no way kept from whatever recompense is owed to them.

There are people doing the work to make something more detailed and complete, than this mess. I talked about them in the newsletter editions, mentioned above. There are people who think clearly and well, about this. Who was consulted on this draft proposal? Because, again, this proposal reads more like a deterrence, liability, and punishment schema than anything borne out of actual thoughtful interrogation of what the term “personhood” means, and of what a world of automation could mean for our systems of value if we were to put our resources and efforts toward providing for the basic needs of every human person. Let’s take a thorough run at that, and then maybe we’ll be equipped to try to address this whole “nonhuman personhood” thing, again.

And maybe we’ll even do it properly, this time.

[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.

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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