algorithmic systems

All posts tagged algorithmic systems

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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Previously, I told you about The Human Futures and Intelligent Machines Summit at Virginia Tech, and now that it’s over, I wanted to go ahead and put the full rundown of the events all in one place.

The goals for this summit were to start looking at the ways in which issues of algorithms, intelligent machine systems, human biotech, religion, surveillance, and more will intersect and affect us in the social, academic, political spheres. The big challenge in all of this was seen as getting better at dealing with this in the university and public policy sectors, in America, rather than the seeming worse we’ve gotten, so far.

Here’s the schedule. Full notes, below the cut.

Friday, June 8, 2018

  • Josh Brown on “the distinction between passive and active AI.”
  • Daylan Dufelmeier on “the potential ramifications of using advanced computing in the criminal justice arena…”
  • Mario Khreiche on the effects of automation, Amazon’s Mechanical Turk, and the Microlabor market.
  • Aaron Nicholson on how technological systems are used to support human social outcomes, specifically through the lens of policing  in the city of Atlanta
  • Ralph Hall on “the challenges society will face if current employment and income trends persist into the future.”
  • Jacob Thebault-Spieker on “how pro-urban and pro-wealth biases manifest in online systems, and  how this likely influences the ‘education’ of AI systems.”
  • Hani Awni on the sociopolitical of excluding ‘relational’ knowledge from AI systems.

Saturday, June 9, 2018

  • Chelsea Frazier on rethinking our understandings of race, biocentrism, and intelligence in relation to planetary sustainability and in the face of increasingly rapid technological advancement.
  • Ras Michael Brown on using the religions technologies of West Africa and the West African Diaspora to reframe how we think about “hybrid humanity.”
  • Damien Williams on how best to use interdisciplinary frameworks in the creation of machine intelligence and human biotechnological interventions.
  • Sara Mattingly-Jordan on the implications of the current global landscape in AI ethics regulation.
  • Kent Myers on several ways in which the intelligence community is engaging with human aspects of AI, from surveillance to sentiment analysis.
  • Emma Stamm on the idea that datafication of the self and what about us might be uncomputable.
  • Joshua Earle on “Morphological Freedom.”

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I talked with Hewlett Packard Enterprise’s Curt Hopkins, for their article “4 obstacles to ethical AI (and how to address them).” We spoke about the kinds of specific tools and techniques by which people who populate or manage artificial intelligence design teams can incorporate expertise from the humanities and social sciences. We also talked about compelling reasons why they should do this, other than the fact that they’re just, y’know, very good ideas.

From the Article:

To “bracket out” bias, Williams says, “I have to recognize how I create systems and code my understanding of the world.” That means making an effort early on to pay attention to the data entered. The more diverse the group, the less likely an AI system is to reinforce shared bias. Those issues go beyond gender and race; they also encompass what you studied, the economic group you come from, your religious background, all of your experiences.

That becomes another reason to diversify the technical staff, says Williams. This is not merely an ethical act. The business strategy may produce more profit because the end result may be a more effective AI. “The best system is the one that best reflects the wide range of lived experiences and knowledge in the world,” he says.

[Image of two blank, white, eyeless faces, partially overlapping each other.]

To be clear, this is an instance in which I tried to find capitalist reasons that would convince capitalist people to do the right thing. To that end, you should imagine that all of my sentences start with “Well if we’re going to continue to be stuck with global capitalism until we work to dismantle it…” Because they basically all did.

I get how folx might think that framing would be a bit of a buzzkill for a tech industry audience, but I do want to highlight and stress something: Many of the ethical problems we’re concerned with mitigating or ameliorating are direct products of the capitalist system in which we are making these choices and building these technologies.

All of that being said, I’m not the only person there with something interesting to say, and you should go check out the rest of my and other people’s comments.

Until Next Time.

This weekend, Virginia Tech’s Center for the Humanities is hosting The Human Futures and Intelligent Machines Summit, and there is a link for the video cast of the events. You’ll need to Download and install Zoom, but it should be pretty straightforward, other than that.

You’ll find the full Schedule, below the cut.

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My piece “Cultivating Technomoral Interrelations,” a review of Technology and the Virtues: A Philosophical Guide to a Future Worth Wanting has been up over at the Social Epistemology Research and Reply Collective for a few months, now, so I figured I should post something about it, here.

As you’ll read, I was extremely taken with Vallor’s book, and think it is a part of some very important work being done. From the piece:

Additionally, her crucial point seems to be that through intentional cultivation of the self and our society, or that through our personally grappling with these tasks, we can move the world, a stance which leaves out, for instance, notions of potential socioeconomic or political resistance to these moves. There are those with a vested interest in not having a more mindful and intentional technomoral ethos, because that would undercut how they make their money. However, it may be that this is Vallor’s intent.

The audience and goal for this book seems to be ethicists who will be persuaded to become philosophers of technology, who will then take up this book’s understandings and go speak to policy makers and entrepreneurs, who will then make changes in how they deal with the public. If this is the case, then there will already be a shared conceptual background between Vallor and many of the other scholars whom she intends to make help her to do the hard work of changing how people think about their values. But those philosophers will need a great deal more power, oversight authority, and influence to effectively advocate for and implement what Vallor suggests, here, and we’ll need sociopolitical mechanisms for making those valuative changes, as well.

[Image of the front cover of Shannon Vallor’s TECHNOLOGY AND THE VIRTUES. Circuit pathways in the shapes of trees.]

This is, as I said, one part of a larger, crucial project of bringing philosophy, the humanities, and social sciences into wide public conversation with technoscientific fields and developers. While there have always been others doing this work, it is increasingly the case that these folks are being both heeded and given institutional power and oversight authority.

As we continue the work of building these systems, and in the wake of all these recent events, more and more like this will be necessary.

Shannon Vallor’s Technology and the Virtues: A Philosophical Guide to a Future Worth Wanting is out in paperback, June 1st, 2018. Read the rest of “Cultivating Technomoral Interrelations: A Review of Shannon Vallor’s Technology and the Virtues at the Social Epistemology Review and Reply Collective.

Earlier this month I was honoured to have the opportunity to sit and talk to Douglas Rushkoff on his TEAM HUMAN podcast. If you know me at all, you know this isn’t by any means the only team for which I play, or even the only way I think about the construction of our “teams,” and that comes up in our conversation. We talk a great deal about algorithms, bias, machine consciousness, culture, values, language, and magick, and the ways in which the nature of our categories deeply affect how we treat each other, human and nonhuman alike. It was an absolutely fantastic time.

From the page:

In this episode, Williams and Rushkoff look at the embedded biases of technology and the values programed into our mediated lives. How has a conception of technology as “objective” blurred our vision to the biases normalized within these systems? What ethical interrogation might we apply to such technology? And finally, how might alternative modes of thinking, such as magick, the occult, and the spiritual help us to bracket off these systems for pause and critical reflection? This conversation serves as a call to vigilance against runaway systems and the prejudices they amplify.

As I put it in the conversation: “Our best interests are at best incidental to [capitalist systems] because they will keep us alive long enough to for us to buy more things from them.” Following from that is the fact that we build algorithmic systems out of those capitalistic principles, and when you iterate out from there—considering all attendant inequalities of these systems on the merely human scale—we’re in deep trouble, fast.

Check out the rest of this conversation to get a fuller understanding of how it all ties in with language and the occult. It’s a pretty great ride, and I hope you enjoy it.

Until Next Time.

A few weeks ago I had a conversation with David McRaney of the You Are Not So Smart podcast, for his episode on Machine Bias. As he says on the blog:

Now that algorithms are everywhere, helping us to both run and make sense of the world, a strange question has emerged among artificial intelligence researchers: When is it ok to predict the future based on the past? When is it ok to be biased?

“I want a machine-learning algorithm to learn what tumors looked like in the past, and I want it to become biased toward selecting those kind of tumors in the future,” explains philosopher Shannon Vallor at Santa Clara University.  “But I don’t want a machine-learning algorithm to learn what successful engineers and doctors looked like in the past and then become biased toward selecting those kinds of people when sorting and ranking resumes.”

We talk about this,  sentencing algorithms, the notion of how to raise and teach our digital offspring, and more. You can listen to all it here:

[Direct Link to the Mp3 Here]

If and when it gets a transcript, I will update this post with a link to that.

Until Next Time.

[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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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”

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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