All posts tagged ai

There’s increasing reportage about IBM using Watson to correlate medical data. We’ve talked before about the potential hazards of this:

Do you know someone actually had the temerity to ask [something like] “What Does Google Having Access to Medical Records Mean For Patient Privacy?” [Here] Like…what the fuck do you think it means? Nothing good, you idiot!

Disclosures and knowledges can still make certain populations intensely vulnerable to both predation and to social pressures and judgements, and until that isn’t the case, anymore, we need to be very careful about the work we do to try to bring those patients’ records into a sphere where they’ll be accessed and scrutinized by people who don’t have to take an oath to hold that information in confidence. ‘

We are more and more often at the intersection of our biological humanity and our technological augmentation, and the integration of our mediated outboard memories only further complicates the matter. As it stands, we don’t quite yet know how to deal with the question posed by Motherboard, some time ago (“Is Harm to a Prosthetic Limb Property Damage or Personal Injury?”), but as we build on implantable technologies, advanced prostheses, and offloaded memories and augmented capacities we’re going to have to start blurring the line between our bodies, our minds, and our concept of our selves. That is, we’ll have to start intentionally blurring it, because the vast majority of us already blur it, without consciously realising that we do. At least, those without prostheses don’t realise it.

Dr Ashley Shew, out of Virginia Tech,  works at the intersection of philosophy, tech, and disability. I first encountered her work, at the 2016 IEEE Ethics Conference in Vancouver, where she presented her paper “Up-Standing, Norms, Technology, and Disability,” a discussion of how ableism, expectations, and language use marginalise disabled bodies. Dr Shew is, herself, disabled, having had her left leg removed due to cancer, and she gave her talk not on the raised dias, but at floor-level, directly in front of the projector. Her reason? “I don’t walk up stairs without hand rails, or stand on raised platforms without guards.”

Dr Shew notes that users of wheelchairs consider those to be fairly integral extensions and interventions. Wheelchair users, she notes, consider their chairs to be a part of them, and the kinds of lawsuits engaged when, for instance, airlines damage their chairs, which happens a great deal.  While we tend to think of the advents of technology allowing for the seamless integration of our technology and bodies, the fact is that well-designed mechanical prostheses, today, are capable becoming integrated into the personal morphic sphere of a person, the longer they use it. And this can extended sensing can be transferred from one device to another. Shew mentions a friend of hers:

She’s an amputee who no longer uses a prosthetic leg, but she uses forearm crutches and a wheelchair. (She has a hemipelvectomy, so prosthetics are a real pain for her to get a good fit and there aren’t a lot of options.) She talks about how people have these different perceptions of devices. When she uses her chair people treat her differently than when she uses her crutches, but the determination of which she uses has more to do with the activities she expects for the day, rather than her physical wellbeing.

But people tend to think she’s recovering from something when she moves from chair to sticks.

She has been an [amputee] for 18 years.

She has/is as recovered as she can get.

In her talk at IEEE, Shew discussed the fact that a large number of paraplegics and other wheelchair users do not want exoskeletons, and those fancy stair-climbing wheelchairs aren’t covered by health insurance. They’re classed as vehicles. She said that when she brought this up in the class she taught, one of the engineers left the room looking visibly distressed. He came back later and said that he’d gone home to talk to his brother with spina bifida, who was the whole reason he was working on exoskeletons. He asked his brother, “Do you even want this?” And the brother said, basically, “It’s cool that you’re into it but… No.” So, Shew asks, why are these technologies being developed? Transhumanists and the military. Framing this discussion as “helping our vets” makes it a noble cause, without drawing too much attention to the fact that they’ll be using them on the battlefield as well.

All of this comes back down and around to the idea of biases ingrained into social institutions. Our expectations of what a “normal functioning body” is gets imposed from the collective society, as a whole, a placed as restrictions and demands on the bodies of those whom we deem to be “malfunctioning.” As Shew says, “There’s such a pressure to get the prosthesis as if that solves all the problems of maintenance and body and infrastructure. And the pressure is for very expensive tech at that.”

So we are going to have to accept—in a rare instance where Robert Nozick is proven right about how property and personhood relate—that the answer is “You are damaging both property and person, because this person’s property is their person.” But this is true for reasons Nozick probably would not think to consider, and those same reasons put us on weirdly tricky grounds. There’s a lot, in Nozick, of the notion of property as equivalent to life and liberty, in the pursuance of rights, but those ideas don’t play out, here, in the same way as they do in conservative and libertarian ideologies.  Where those views would say that the pursuit of property is intimately tied to our worth as persons, in the realm of prosthetics our property is literally simultaneously our bodies, and if we don’t make that distinction, then, as Kirsten notes, we can fall into “money is speech” territory, very quickly, and we do not want that.

Because our goal is to be looking at quality of life, here—talking about the thing that allows a person to feel however they define “comfortable,” in the world. That is, the thing(s) that lets a person intersect with the world in the ways that they desire. And so, in damaging the property, you damage the person. This is all the more true if that person is entirely made of what we are used to thinking of as property.

And all of this is before we think about the fact implantable and bone-bonded tech will need maintenance. It will wear down and glitch out, and you will need to be able to access it, when it does.  This means that the range of ability for those with implantables? Sometimes it’s less than that of folks with more “traditional” prostheses. But because they’re inside, or more easily made to look like the “original” limb,  we observers are so much more likely to forget that there are crucial differences at play in the ownership and operation of these bodies.

There’s long been a fear that, the closer we get to being able to easily and cheaply modify humans, we’ll be more likely to think of humanity as “perfectable.” That the myth of progress—some idealized endpoint—will be so seductive as to become completely irresistible. We’ve seen this before, in the eugenics movement, and it’s reared its head in the transhumanist and H+ communities of the 20th and 21st centuries, as well. But there is the possibility that instead of demanding that there be some kind of universally-applicable “baseline,” we intently focused, instead, on recognizing the fact that just as different humans have different biochemical and metabolic needs, process, capabilities, preferences, and desires, different beings and entities which might be considered persons are drastically different than we, but no less persons?

Because human beings are different. Is there a general framework, a loosely-defined line around which we draw a conglomeration of traits, within which lives all that we mark out as “human”—a kind of species-wide butter zone? Of course. That’s what makes us a fucking species. But the kind of essentialist language and thinking towards which we tend, after that, is reductionist and dangerous. Our language choices matter, because connotative weight alters what people think and in what context, and, again, we have a habit of moving rapidly from talking about a generalized framework of humanness to talking about “The Right Kind Of Bodies,” and the “Right Kind Of Lifestyle.”

And so, again, again, again, we must address problems such as normalized expectations of “health” and “Ability.” Trying to give everyone access to what they might consider their “best” selves is a brilliant goal, sure, whatever, but by even forwarding the project, we run the risk of colouring an expectation of both what that “best” is and what we think it “Ought To” look like.

Some people need more protein, some people need less choline, some people need higher levels of phosphates, some people have echolocation, some can live to be 125, and every human population has different intestinal bacterial colonies from every other. When we combine all these variables, we will not necessarily find that each and every human being has the same molecular and atomic distribution in the same PPM/B ranges, nor will we necessarily find that our mixing and matching will ensure that everyone gets to be the best combination of everything. It would be fantastic if we could, but everything we’ve ever learned about our species says that “healthy human” is a constantly shifting target, and not a static one.

We are still at a place where the general public reacts with visceral aversion to technological advances and especially anything like an immediated technologically-augmented humanity, and this is at least in part because we still skirt the line of eugenics language, to this day. Because we talk about naturally occurring bio-physiological Facts as though they were in any way indicative of value, without our input. Because we’re still terrible at ethics, continually screwing up at 100mph, then looking back and going, “Oh. Should’ve factored that in. Oops.”

But let’s be clear, here: I am not a doctor. I’m not a physiologist or a molecular biologist. I could be wrong about how all of these things come together in the human body, and maybe there will be something more than a baseline, some set of all species-wide factors which, in the right configuration, say “Healthy Human.” But what I am is someone with a fairly detailed understanding of how language and perception affect people’s acceptance of possibilities, their reaction to new (or hauntingly-familiar-but-repackaged) ideas, and their long-term societal expectations and valuations of normalcy.

And so I’m not saying that we shouldn’t augment humanity, via either mediated or immediated means. I’m not saying that IBM’s Watson and Google’s DeepMind shouldn’t be tasked with the searching patient records and correlating data. But I’m also not saying that either of these is an unequivocal good. I’m saying that it’s actually shocking how much correlative capability is indicated by the achievements of both IBM and Google. I’m saying that we need to change the way we talk about and think about what it is we’re doing. We need to ask ourselves questions about informed patient consent, and the notions of opting into the use of data; about the assumptions we’re making in regards to the nature of what makes us humans, and the dangers of rampant, unconscious scientistic speciesism. Then, we can start to ask new questions about how to use these new tools we’ve developed.

With this new perspective, we can begin to imagine what would happen if we took Watson and DeepDream’s ability to put data into context—to turn around, in seconds, millions upon millions (billions? Trillions?) of permutations and combinations. And then we can ask them to work on tailoring genome-specific health solutions and individualized dietary plans. What if we asked these systems to catalogue literally everything we currently knew about every kind of disease presentation, in every ethnic and regional population, and the differentials for various types of people with different histories, risk factors, current statuses? We already have nanite delivery systems, so what if we used Google and IBM’s increasingly ridiculous complexity to figure out how to have those nanobots deliver a payload of perfectly-crafted medical remedies?

But this is fraught territory. If we step wrong, here, we are not simply going to miss an opportunity to develop new cures and devise interesting gadgets. No; to go astray, on this path, is to begin to see categories of people that “shouldn’t” be “allowed” to reproduce, or “to suffer.” A misapprehension of what we’re about, and why, is far fewer steps away from forced sterilization and medical murder than any of us would like to countenance. And so we need to move very carefully, indeed, always being aware of our biases, and remembering to ask those affected by our decisions what they need and what it’s like to be them. And remembering, when they provide us with their input, to believe them.

I spoke with Klint Finley over at WIRED about Amazon, Facebook, Google, IBM, and Microsoft’s new joint ethics and oversight venture, which they’ve dubbed the “Partnership on Artificial Intelligence to Benefit People and Society.” They held a joint press briefing, today, in which Yann LeCun, Facebook’s director of AI, and Mustafa Suleyman, the head of applied AI at DeepMind discussed what it was that this new group would be doing out in the world. From the Article:

Creating a dialogue beyond the rather small world of AI researchers, LeCun says, will be crucial. We’ve already seen a chat bot spout racist phrases it learned on Twitter, an AI beauty contest decide that black people are less attractive than white people and a system that rates the risk of someone committing a crime that appears to be biased against black people. If a more diverse set of eyes are looking at AI before it reaches the public, the thinking goes, these kinds of thing can be avoided.

The rub is that, even if this group can agree on a set of ethical principles–something that will be hard to do in a large group with many stakeholders—it won’t really have a way to ensure those ideals are put into practice. Although one of the organization’s tenets is “Opposing development and use of AI technologies that would violate international conventions or human rights,” Mustafa Suleyman, the head of applied AI at DeepMind, says that enforcement is not the objective of the organization.

This isn’t the first time I’ve talked to Klint about the intricate interplay of machine intelligence, ethics, and algorithmic bias; we discussed it earlier just this year, for WIRED’s AI Issue. It’s interesting to see the amount of attention this topic’s drawn in just a few short months, and while I’m trepidatious about the potential implementations, as I note in the piece, I’m really fairly glad that more people are more and more willing to have this discussion, at all.

To see my comments and read the rest of the article, click through, here: “Tech Giants Team Up to Keep AI From Getting Out of Hand”

Episode 10: Rude Bot Rises

So. The Flash Forward Podcast is one of the best around. Every week, host Rose Eveleth takes on another potential future, from the near and imminent to the distant and highly implausible. It’s been featured on a bunch of Best Podcast lists and Rose even did a segment for NPR’s Planet Money team about the 2016 US Presidential Election.

All of this is by way of saying I was honoured and a little flabbergasted (I love that word) when Rose asked me to speak with her for her episode about Machine Consciousness:

Okay, you asked for it, and I finally did it. Today’s episode is about conscious artificial intelligence. Which is a HUGE topic! So we only took a small bite out of all the things we could possibly talk about.

We started with some definitions. Because not everybody even defines artificial intelligence the same way, and there are a ton of different definitions of consciousness. In fact, one of the people we talked to for the episode, Damien Williams, doesn’t even like the term artificial intelligence. He says it’s demeaning to the possible future consciousnesses that we might be inventing.

But before we talk about consciousnesses, I wanted to start the episode with a story about a very not-conscious robot. Charles Isbell, a computer scientist at Georgia Tech, first walks us through a few definitions of artificial intelligence. But then he tells us the story of cobot, a chatbot he helped invent in the 1990’s.

You’ll have to click though and read or listen for the rest from Rose, Ted Chiang, Charles Isbell, and me. If you subscribe to Rose’s Patreon, you can even get a transcript of the whole show.

No spoilers, but I will say that I wasn’t necessarily intending to go Dark with the idea of machine minds securing energy sources. More like asking, “What advances in, say, solar power transmission would be precipitated by machine minds?”

But the darker option is there. And especially so if we do that thing the AGI in the opening sketch says it fears.

But again, you’ll have to go there to get what I mean.

And, as always, if you want to help support what we do around here, you can subscribe to the AFWTA Patreon just by clicking this button right here:

Until Next Time.

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$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, 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.

Continue Reading

“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.