autonomous systems

All posts tagged autonomous systems

So with the job of White House Office of Science and Technology Policy director having gone to Dr. Arati Prabhakar back in October, rather than Dr. Alondra Nelson, and the release of the “Blueprint for an AI Bill of Rights” (henceforth “BfaAIBoR” or “blueprint”) a few weeks after that, I am both very interested also pretty worried to see what direction research into “artificial intelligence” is actually going to take from here.

To be clear, my fundamental problem with the “Blueprint for an AI bill of rights” is that while it pays pretty fine lip-service to the ideas of  community-led oversight, transparency, and abolition of and abstaining from developing certain tools, it begins with, and repeats throughout, the idea that sometimes law enforcement, the military, and the intelligence community might need to just… ignore these principles. Additionally, Dr. Prabhakar was director of DARPA for roughly five years, between 2012 and 2015, and considering what I know for a fact got funded within that window? Yeah.

To put a finer point on it, 14 out of 16 uses of the phrase “law enforcement” and 10 out of 11 uses of “national security” in this blueprint are in direct reference to why those entities’ or concept structures’ needs might have to supersede the recommendations of the BfaAIBoR itself. The blueprint also doesn’t mention the depredations of extant military “AI” at all. Instead, it points to the idea that the Department Of Defense (DoD) “has adopted [AI] Ethical Principles, and tenets for Responsible Artificial Intelligence specifically tailored to its [national security and defense] activities.” And so with all of that being the case, there are several current “AI” projects in the pipe which a blueprint like this wouldn’t cover, even if it ever became policy, and frankly that just fundamentally undercuts Much of the real good a project like this could do.

For instance, at present, the DoD’s ethical frames are entirely about transparency, explainability, and some lipservice around equitability and “deliberate steps to minimize unintended bias in Al …” To understand a bit more of what I mean by this, here’s the DoD’s “Responsible Artificial Intelligence Strategy…” pdf (which is not natively searchable and I had to OCR myself, so heads-up); and here’s the Office of National Intelligence’s “ethical principles” for building AI. Note that not once do they consider the moral status of the biases and values they have intentionally baked into their systems.

An "Explainable AI" diagram from DARPA, showing two flowcharts, one on top of the other. The top one is labeled "today" and has the top level condition "task" branching to both a confused looking human user and state called "learned function" which is determined by a previous state labeled "machine learning process" which is determined by a state labeled "training data." "Learned Function" feeds "Decision or Recommendation" to the human user, who has several questions about the model's beaviour, such as "why did you do that?" and "when can i trust you?" The bottom one is labeled "XAI" and has the top level condition "task" branching to both a happy and confident looking human user and state called "explainable model/explanation interface" which is determined by a previous state labeled "new machine learning process" which is determined by a state labeled "training data." "explainable model/explanation interface" feeds choices to the human user, who can feed responses BACK to the system, and who has several confident statements about the model's beaviour, such as "I understand why" and "I know when to trust you."

An “Explainable AI” diagram from DARPA

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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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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”

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.