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00:00:26.240on. Welcome to For the Wild podcast. I'm Ayanna Young. Today on the show, I'll be speaking with
00:00:34.440Kenrick McDowell, who has worked at the intersection of culture and technology for
00:00:39.220over 20 years. Kenrick co-leads the Artist and Machine Intelligence Program at Google,
00:00:45.000where he facilitates collaboration between artificial intelligence researchers,
00:00:49.480artists, and cultural institutions. Kenrick is a regular conference speaker and consultant to
00:00:56.580think tanks and arts organizations, helping groups connect artistic practice and technology
00:01:02.240production with larger traditions of human understanding. Well, Kenrick, I am so grateful
00:01:10.100to be in conversation with you again. It's so wonderful to be able to have dear friends
00:01:14.840on the podcast. I really enjoy these conversations so much. And last September,
00:01:20.960you invited me to the Guggenheim, where you facilitated a dialogue on art and technology
00:01:26.260in the age of the Anthropocene, alongside support from Troy Conrad Therrien, Curator of Architecture
00:01:34.100and Digital Initiatives at the Guggenheim. So this is such a wonderful way to reconnect. And
00:01:40.940thank you so much for joining us on the podcast today. Thank you, Anna. Thanks for inviting me
00:01:47.200to be on. It's been a great experience meeting you and being in a conversation. And the Guggenheim
00:01:54.700event was a really profound shift for the type of conversations I've been able to have in public.
00:02:01.380And so I'm really looking forward to continuing. I want to give the audience a little bit of
00:02:06.640context to our chat at the Guggenheim. And we were in the lobby. And for those of you who know
00:02:13.500the space, it's this incredible rotunda. And so we were all in this circle sitting on the floor.
00:02:20.800It was really deep. And in this space, you asked all of us involved to think about the role that
00:02:27.620technology plays in relating to our habitat and the future, as well as whether or not technology
00:02:33.340can reintroduce slowness and renewal in our relationships.
00:02:41.840The thing that I came to as part of a stream of work that happened early in AMI, where
00:02:49.740we started working with philosophers to bring them in and help us understand what AI really
00:02:53.740was, what we were projecting onto it as a culture, was to understand how much design
00:03:00.960processes have embedded a certain set of beliefs about what a human is and what relationships are
00:03:07.120and so we're doing some research now based on the idea that our current models really need
00:03:13.100refactoring and I think we have some like really strong keywords to to discuss about things that
00:03:17.860could be refactored but I want to kind of start from where we're working which is to say and this
00:03:21.660is partly like my selfish motivation for getting this event together is to like get these ideas out
00:03:25.640to people and see what comes back from our community but to say that when we think about
00:03:29.780design right now we think about software we're thinking about essentially this is the conduit
00:03:35.880which is a an interface to an individual person who has an email address a credit card and a
00:03:43.420shipping address right so there's a certain degree to which we've like internalized this alienated
00:03:48.320model we're not thinking about relationality and one of the things that comes up when you start
00:03:51.640looking at AI and pattern recognition is the ways that patterns can be perceived that maybe not
00:03:57.480weren't intended to be perceived so you know relationality we think is a really important
00:04:02.440aspect of any kind of design paradigm so if we were going to reframe our thinking around design
00:04:08.420we would move through relationality into our interspecies relationships and into ecological
00:04:12.600ways of thinking so given that like we're people that are very much embedded within this urban
00:04:17.900infrastructure it's not really something that we're all going to we're not going to all be
00:04:21.380able to follow the path that you took but we what we can do is work from our own backyards and start
00:04:26.560by looking at the disciplines that we're engaged in and figuring out how we're reproducing
00:04:31.600embedded ideologies that were given to us about consumerism, entitlement, our sort of like alienation
00:04:39.020from each other, from relationships, from our companion species, and from the ecosystems that
00:04:44.200we are living in. So to back up just a little bit before moving on, you know, I see you working in
00:04:49.960a very like interspecies context, right? And you were able to reflect to me how the individual
00:04:55.440species when one collapses all of the others collapse with it that's one really important
00:05:01.080piece of the puzzle and there were some other things that really speak to some of the discourse
00:05:05.760going on in tech right now right like solutionism we were talking about the need to reframe concepts
00:05:11.920of solving saving and idea of a solution and i think this is a space that might be tractable
00:05:20.100for people here is to sort of like figure out how we can use our understanding of our disciplines
00:05:26.960to reframe some of these concepts broadly and in general for the culture at large and i guess what
00:05:32.660i'm arguing for is like people that work with ideas people that work with design really that's
00:05:38.420where that's the tool that we have i really believe we need to come together to discuss
00:05:46.020these questions regardless of our personas as artists, designers, engineers, or ecologists,
00:05:53.660etc. Because we're all thinking about ecological collapse and resilience, and the time is really
00:06:00.500ripe for fostering relationships in these incredibly polarizing spaces. So to begin,
00:06:08.740I'm hoping we can acknowledge the extreme polarities when it comes to common opinions
00:06:14.240on technology and ecology, and perhaps you can share what fed your desire to tend to the
00:06:20.980intersection of these realms. Yeah, first of all, to say I couldn't agree more that now is the time
00:06:26.940for us to be having these conversations about our shared stake in technology and ecology.
00:06:33.860There may have been a time when the impact of technology wasn't felt globally, but that's not
00:06:40.900the case anymore and the same goes for the ecological crisis this is these are things that
00:06:46.740bring all of us together because we can't draw clear lines of ownership or responsibility for
00:06:57.340you know we can draw we can draw lines of ownership and responsibility but they ultimately
00:07:01.720include all of us the situation that we're in ultimately includes all of us and so it's really
00:07:06.420important for us to be having this conversation and these conversations around these things that
00:07:11.320belong to all of us the question of how i came to be interested in this i came into public speaking
00:07:21.120and conversation largely through my role as a facilitator of collaboration between artists and
00:07:25.940ai researchers and being at the intersection of culture and ai research it quickly became clear
00:07:35.180how many complex ethical moral social factors come into play in the creation of technology
00:07:45.100and in the deployment of technology and the use of technology so being involved in research it
00:07:50.900became it became clear that there was a responsibility to bring voices into the
00:07:56.500research process that could raise those concerns because the production of technology has largely
00:08:03.360been done by people who are trained in technology and it's it can be a very narrow educational lens
00:08:09.460if it's if there isn't some effort put in to broaden it so we started bringing artists and
00:08:17.000philosophers in not just to produce their own projects but to consult our strategy teams and
00:08:23.420to help us think on a deeper level about the assumptions that we bring to the production of
00:08:28.380technology and to researching technology. So we've done workshops with philosophers around
00:08:34.060ontology that led us to expand our definition of a user and to question our assumptions about
00:08:43.700why we might only think about humans as users. And in that process, it became really clear that
00:08:53.000we could start unpacking issues that were coming from other directions involving ecology through
00:09:01.540the discourse of technology production and through understanding the assumptions that
00:09:07.260we've brought to it because those assumptions of human centricity are not only in the realm
00:09:14.000of technology they exist everywhere and so if we wanted to have a true philosophical investigation
00:09:20.280of our practice as makers of technology, we have to unpack concepts that have been given to most
00:09:28.880of the people in our community from other places, not just from technology training. So that became
00:09:36.840a platform for exploring ways of understanding who the users of technology were, ways of
00:09:46.940understanding our assumptions about human centricity and supremacy and ultimately
00:09:52.720inevitably force us to think about ecology well thank you for that introduction and i'd like to
00:10:03.900give the listeners a bit more context to our conversation last september and to ground the
00:10:10.520conversation for the listeners i'd like to discuss the origins of human centered design
00:10:15.240especially as it relates to computing and machine learning so i'm wondering if you could
00:10:21.120sort of summarize the trajectory of human-centered design and speak to the initial necessity of a
00:10:28.380somewhat counter-cultural hyper focus on human potential as well as how human-centered design
00:10:35.860inherently limits relationability and interspecies connection yeah human-centered design originated
00:10:45.220in the 70s as a response to engineered systems that didn't account for usability, for accessibility,
00:10:55.420or for basically allowing humans to feel comfortable while using these devices.
00:11:03.960So the notion of prioritizing human users in a machine context was really important for
00:11:12.420making technologies accessible to people with different abilities, to making them easy to use,
00:11:20.060to making them safe. But now we're in a context where human-centered design is predominant. And
00:11:26.620so user experience design, for example, often makes use of human-centered methods of research
00:11:32.760and trying to understand what our intuitive reactions are to things, how to make things
00:11:37.760more accessible to all potential users. At the same time that human-centered design
00:11:43.940has become the predominant paradigm, we also have the reframing of our geological era as
00:11:50.040the Anthropocene. And there's really, if you look at it from a very basic linguistic point of view,
00:11:54.320these things have something in common, right? Which is that the human is at the center.
00:11:57.500As we start to introduce machine learning and artificial intelligence technologies into
00:12:04.100these technological systems, we find that they have a capacity for recognizing patterns of
00:12:12.100behavior, for recognizing patterns across systems. And as we start to consider possibilities for
00:12:21.120using them spatially, for example, within architecture, we have to think about the
00:12:26.000users human users in a relational context meaning if a pattern recognizing machine learning system
00:12:35.500that tries to understand what it observes sees people interacting it will inevitably
00:12:40.780understand their relationality because it's inherent in the situation or maybe not inevitably
00:12:46.820but ideally it will understand their relationality because we've entered our current design paradigm
00:12:53.720the human-centered design paradigm, really from an individualistic entry point, which comes from
00:12:58.880a consumer model. But the systems that we live in are not individualistic, they're relational.
00:13:04.740So when we start to think about human-centered design in a relational way, if we think deeply
00:13:10.960about that, we will inevitably realize that our relations are not just between humans.
00:13:16.420And this is where questions around ecology come in and questions around types of intelligence,
00:13:23.320non-human intelligence that animals and plants have as machines gain some abilities that remind
00:13:31.580us of human intelligence we can start to recognize that intelligence might not just be a human trait
00:13:36.840and in fact it exists all around us so as these systems that learn start to try to understand us
00:13:47.280to model the inherent relationality of the users that have been current up until now
00:13:56.220framed as individuals there's a necessary expansion of the human center that really
00:14:05.240comes from the nascent abilities of machine learning it doesn't i'm not saying that this
00:14:10.340is an inevitable outcome this is something that we have a chance to shape now but the
00:14:16.120convergence of this emerging capability within technology and the ecological and extinction
00:14:23.820crisis as framed by the Anthropocene term really brings to the forefront the notion that the human
00:14:31.380at the center is a limiting concept from which to be designing.
00:14:36.980whoo preach that kenrick that's so i definitely agree with that and it's gosh every time i speak
00:14:48.340with you i feel like i'm transported into a whole other world that my mind is usually not
00:14:54.860hanging out in and so yeah i feel like i'm hanging on every word really trying to
00:15:02.180get into this other way of understanding. It's so deep. And I'm remembering the sentiments you
00:15:13.000shared as you opened up our dialogue at the Guggenheim, which in my mind is a call to
00:15:18.460de-anthropocentrized design. So I'm wondering if you can share what you see the implications are
00:15:27.140of continuing narratives of anthropocentrism when it comes to machine learning, technology,
00:15:33.160and design, both within the field itself and in context to the extinction crisis?
00:15:40.120Yeah, the anthropocentric narrative within design of technology, software, and of machine learning
00:15:50.620really has a root in consumerist worldview. So if you take your phone,
00:15:57.140And you look at what does your phone believe that you are?
00:16:01.600It sees you as a series of taps on the screen.
00:16:05.640And for most of the software on there, it sees you as an email address, a shipping address, and a credit card.
00:16:13.600And that individual, the assumptions about that individual, the assumptions about what a human is, that a human is that individual, and that that is what the definition of an individual is.
00:16:22.300those assumptions are really deeply baked into so much of our culture that it's really hard to
00:16:28.660escape them when thinking about potentially more complex systems like machine learning.
00:16:34.240So when we propose that we might expand the human center of design thinking, we confront not just
00:16:46.120the problem of thinking of ourselves as the center of the world, which we've inherited through
00:16:50.500various traditions, but also thinking of the human center as an individual center, as a consumer
00:16:57.500center. We have to really undo multiple layers of thinking to get there. And one of the challenges
00:17:03.360that surfaces these multiple layers of thinking is when thinking about a design paradigm that
00:17:09.480would include non-humans, plants, animals, elements, ecosystems, it's very hard for us to imagine
00:17:17.200because none of those entities have credit cards
00:17:21.220or bank accounts and they can't pay for things.
00:17:24.560And this is one of the fundamental challenges
00:17:27.580is how do we, if we want to expand the human,
00:17:30.920we have to expand the human beyond our consumptive ability
00:17:35.440and our existence within the economic system.
00:17:38.800Even thinking about humans relationally
00:20:49.520I've been in my own world struggling with this concept of quantifying and in the non-profit
00:21:04.440industrial complex in the world of the non-profit there's a lot of desire or even
00:21:12.480requirements to quantify impact and it's really challenging when something like impact or
00:21:20.440relationships or the natural world is kind of confined or conformed in a quantifiable model
00:21:31.780so much seems to be lost and i don't think the things that are lost
00:21:37.740you know my first reaction is they'll never be able to be quantified in a type of
00:21:42.940human created system because it's something beyond that and that unquantifiable
00:21:50.180whatever it is energy relationship plant whatever it is it's it's like that's that's magic that's
00:21:59.740something that in a way i feel like we shouldn't even seek to fully understand because we never
00:22:04.860will. But then I also am hearing what you're saying and, and wondering, is this something
00:22:11.160that we even want to try to integrate into these systems? And I definitely do not have the answer,
00:22:18.480but it's a really, yeah, it's a good mental gymnastics workout. And I feel like in order
00:22:28.100to design differently, I'm gleaning that there are two areas that we really want to attune
00:22:34.100ourselves to if we want to negate our anthropocentric tendencies. One being that design
00:22:41.260needs to take place in recognition of relationships, identifying that all users as
00:22:47.460relational beings. And then the other being that we must broaden our understanding of intelligence,
00:22:53.740or maybe perhaps abolish our metrics of it altogether. So within the realm of design and
00:22:59.760technology. Can you speak to these tightly tethered connections between creation,
00:23:05.660relationship, and intelligence? What you're saying about relationship, I think this is
00:23:11.980really the key to understanding, for example, what you're talking about with the unquantifiability
00:23:18.220of certain aspects of being, basically. If we open ourselves up to learning from cultures that
00:23:25.620have a more balanced relationship with nature, I think we'll find that the idea of quantification
00:23:33.780or the idea of understanding is mitigated through a type of relation. So a relation of humility
00:23:42.480in the face of nature, and also a relation of openness to not just the unknowability,
00:23:50.000but the novelty of nature so whether through ritual or narrative worldviews there are precedents
00:24:00.120for relating to nature in a way that allows it to be as infinite as it really is having said that
00:24:08.400There is this deep drive within our culture to understand through metrics.
00:24:17.220And I guess my hope is that we can build a relational way of understanding measuring that allows us to stay open to the infinite novelty of nature and open in a humble way to the unquantifiability of it.
00:24:41.200meaning we won't try to produce a totalizing rational system that erases the mystery,
00:24:48.860but actually we can still use those systems in some productive way
00:24:52.720while knowing that we are working with a model without making our models total.
00:24:57.560And the ability to do that really, I think, has a lot to do with
00:25:01.420how we include other models in our thinking, right?
00:25:06.920So if we're building up this kind of total, perfect, quantified, rational understanding, it's often for the purpose of a single point of view. And I think the first step, relationally, is to open up to other points of view, to begin thinking.
00:25:23.760You know, for example, I've done some work with the philosopher Yukui, who's got a very productive framework for thinking through technology, which he calls cosmotechnics, and builds on the idea that technologies embed their cosmology in them as they're propagated.
00:25:41.780He's looking at it from an East-West perspective and looking at the way that Western technologies are entering China and proposing ways that China might embed its own mythos or ethos or belief into the production of technology there.
00:25:57.560But the same could be applied on a north-south axis on multiple axes.
00:26:01.480And when we start to diversify the points of view around modeling, then we can start to see that each of those models has different priorities and that one of them isn't the perfect one.
00:26:14.820So there may be an ability to enrich our modeling while understanding its limitations. I think that's really the core of a lot of this is understanding limitation and accepting limitation and accepting that our own limitations provide an experience. By accepting our own limitations, we can have an experience that goes beyond those limitations, but we can't believe that our models are going to be perfect.
00:26:44.820there's this question that has come up for me gosh i don't even know how to really put into
00:26:55.100words but it's interesting as humans how we're constantly searching for something and i and
00:27:02.960maybe also as as modern humans this search is so much outside of ourselves and our community
00:27:10.180and our relationship to the land and yeah just trying to understand things in this rational
00:27:17.900reductionist way to maybe feel comforted thinking that we know something or you know I'm just trying
00:27:26.300to I like feeling this existential question come up around even just the desire to try to fit these
00:27:35.780complex ways of being into models? And what is that going to get us? Where are we trying to even
00:27:42.040go once we think we understand something in a way that we can categorize and quantify and so on and
00:27:49.180so forth? And while I really want to embrace this call for a relational model, part of me is torn
00:27:57.700in that I question whether or not these holistic models improve well-being for our benefit or
00:28:04.680ultimately just aid in the selling and consuming of services and products, something that you
00:28:10.000mentioned a bit before, and whether or not that distinction even needs to be made.
00:28:15.780So yeah, I guess what this gnaws at is this larger question I have around whether or not an
00:28:23.340ecosystem-centered field of AI or machine learning is compatible with capital, or will the field of
00:28:31.320technology ultimately prioritize the creation of systems that generate a profit? I totally agree
00:28:37.600with the existential question that you're pointing to. I think, you know, partly there's a few things
00:28:44.380that I think we're seeking in trying to like understand or map. One of them is a sort of
00:28:50.800existential security or control. And one of the lessons I've learned over and over is that you
00:28:56.100don't have control and you can't have control and i think this is really on a on a deeper level
00:29:03.660beyond the questions of how to implement anything in technology or whether we should this is the
00:29:07.920this is the question is how to be in relationship with life and the earth in a way without needing
00:29:16.800to be in control without needing to know what's going on necessarily really how do we actually
00:29:21.460just be and that deep anxiety that many people feel around that is expressed exactly as you've
00:29:29.660been describing it. I think another thing that we're looking for and trying to maybe reproduce
00:29:36.760through technology is embedding within a social context and embedding within a terrestrial context
00:29:45.080and those things if they're not present we won't be able to produce something meaningful or helpful
00:29:50.420with technology if we're erasing those things or not, or if those needs are not met. So I share
00:29:57.320your concern. I share the experience of that tension of, you know, we can build a more holistic
00:30:04.500model. We can think through these questions in a more ecological way, but if we are unable to
00:30:14.260be without controlling or knowing or resting in the mental model that we've created if we can't
00:30:22.780just be we'll produce that anxiety again through our technologies and if we don't have social webs
00:30:29.860if we don't have relationships terrestrially if we don't exist in a web of life then we will
00:30:39.060also reproduce all of those same problems and in many ways these provocations or these proposals
00:30:46.640you know i work in strategy and in many ways i work at the edge of what strategy can do so these
00:30:54.140proposals are radical in the sense that they you know that the team that i'm working with is very
00:31:00.000interested in proposing radical alternatives that challenge deep assumptions and one of the
00:31:07.060lessons of working in strategy is that the majority of what you do is probably not going
00:31:12.580to be realized. So speaking about these things or putting this out, there is a way to surface
00:31:21.280the complexity and to stay with the trouble rather than maybe an actually putting forward
00:31:27.420these radical proposals might show us the limitations of what we're able to produce
00:31:32.700within the currently existing system and working in strategy you have to come to terms with the
00:31:39.320fact that a lot of what you propose or do will not be realized so these are ways of breaking
00:31:47.140apart our thinking that that they may not be perfect solutions i want to shift this conversation
00:31:53.680to discuss the culture wherein tech is cultivated and how this impacts design and perhaps we can do
00:32:01.920this as a precursor to discussing the need to slow down, which is something we've talked about
00:32:07.940a lot in our personal conversations. And I'm thinking a lot about how the culture of the
00:32:14.260machine learning and technological advancement has been cultivated in a space that has and
00:32:20.740continues to really repress the sacred in all of its embodiment. And as well as how the culture
00:32:27.840of tech today is hyper-focused on efficiency, so much so that it denies us the luxury and the beauty
00:32:34.840of waiting, patience, slowness, and honestly even boredom. So perhaps you can share what you think
00:32:43.620this means for bridging ecology and technology in terms of surrendering the quarterly model based
00:32:51.480on immediate gratification and reviving something slower and more long-term and where do you find
00:32:59.720the practice of slowing down? Well you pointed directly to it at the end of the question by
00:33:04.900talking about the quarterly model. A lot of times the scenarios that say engineers or designers find
00:33:10.920themselves in are ones where they're in competition with each other to perform and the way that that's
00:33:17.220understood as through metrics. And the easiest metrics to point to are the ones that speed
00:33:23.400things up or make things more efficient. But when we think about what even just the Anthropocene
00:33:29.740framing is presenting to us, it's a picture of humanity existing at a certain timescale or our
00:33:35.680actions existing in a certain timescale. And the confrontation with that almost unimaginable
00:33:43.480length of time that so many of these materials that we've produced will have the timescale at
00:33:49.780which our actions are living now really challenges the quarterly model it's almost too hard to think
00:33:57.580so our strategy team has been thinking about what framework could we use to start to think about
00:34:03.740different temporal scales and so you know i'm really answering not from the personal side but
00:34:08.300from the professional side like how do we actually address short-term thinking and we have a
00:34:14.360framework where we kind of make a grid with at the top spatial scales with the human at one point but
00:34:21.540the ecosystem at another point the microorganism at another and then temporal scales with the human
00:34:27.020lifespan maybe in the middle and geologic time at one end and the life cycle of a bacterium or
00:34:34.640something at another end and we've been producing these workshops where we help people use this
00:34:42.300framework to challenge the way that they're thinking about design but again the quarterly
00:34:48.220model is a profit one it's based on quarterly reports economic reports and what i've seen
00:34:55.680working in the cultural sector is that even cultural projects need much more time than a
00:35:00.640corporation will allow so you need a couple years to see a project really through and just the
00:35:06.060introduction of that notion that like we actually are building something bigger here has been
00:35:11.580productive but it's something that you have to kind of concentrate your effort on doing and
00:35:17.640i've seen even within our team like as we've started to think this way we've shifted a little
00:35:22.660bit our focus on a day-to-day level of how to work meaning let's allocate more time for deeper work
00:35:29.380and less time for shorter meetings etc and so there are lots of small ways to do that as well
00:35:36.780as strategic ways for thinking what is the impact of this product that we're working on in not just
00:35:44.300a quarter or a year but 10 years or its full life cycle including the materials that it's made from
00:35:50.440and i'm working with a colleague on some metric systems now that where we're attempting to
00:35:55.920introduce those in a systematic way into a kind of prospective product analysis i have had to
00:36:03.460reprioritize and really focus on which aspects of work my own work personally creatively
00:36:13.700professionally like how all of those things which aspects are really rewarding me in a sustainable
00:36:19.240way because there's a lot of needs to be met and working at the intersection of these different
00:36:24.520spaces there's a lot of opportunity to be present but ultimately as an individual I need a deeper
00:36:32.140sustaining resource and so getting deeper into my own practices that provide that for me has been
00:36:38.000a way to slow down and to to learn to see opportunities against a longer time scale
00:36:45.500just within my own personal lifespan or even within like a five to ten year personal time
00:36:51.760cycle, but also like that does build up to understanding where your energetic investment
00:36:57.180is and how that might, how you might begin to think intergenerationally as a starting
00:37:03.080point for moving beyond your own time span.
00:38:09.980and i think the slowing down in design and and how you were saying that a lot of the strategy
00:38:24.340that is created doesn't always get implemented and part of me thinks good even in my own projects
00:38:30.620i'm always grateful when i spend a lot of time strategizing and researching and development and
00:38:37.560don't always take the physical steps to actually realize it because not everything needs or should
00:38:44.000be realized at this time because everything takes resources. And I think it's part of this
00:38:49.280instant gratification, consumptive, stranglehold, addiction, whatever we want to call it to
00:38:57.500think of something and then implement it almost immediately. And that is really dangerous in so
00:39:05.280many different ways, whether we think the project we're creating is benign or not. And yeah, I
00:39:11.280appreciate that slowness in thinking things through and thinking about future generations,
00:39:18.040because I think that definitely is something we've lost in this dominant Western model that
00:39:24.540it's all about now. And it's all about what we can see directly in front of us. And that
00:39:31.140has been really detrimental. And I have been thinking about, along with slowness, how we can
00:39:42.440turn to play and design. And I feel like one of the greatest interventions might be restoring
00:39:50.360playfulness into practice. And so I'm wondering, what does this look like to you in terms of
00:39:57.080creating technologies that embody care? And even perhaps, yeah, how can technologies even embody
00:40:03.100care? That's a really good question. When you think about care, and I think play as well,
00:40:09.660there is an inherent relation in there, right? Like when we care, we care for an other and we
00:40:15.520care for ourselves as well, but often it's for an other. And maybe the key to starting to understand
00:40:23.820And technology in that way is to see it as something that has the potential for shaping relations, right?
00:40:31.660I mean, we've lived through this era of social media so far and relations have been shaped in a certain direction through design priorities that emphasize visibility and exposure and likes and impressions and stuff like that.
00:40:47.200But there is a relational element to that. And could we bring care into something that has this inherent relational structure built into it? I think whatever it is that, however that happens, care happens relationally. So it's going to need to exist there.
00:41:03.340i can see like within architecture opportunities to consider care and relation of the users of
00:41:14.100architecture this is a space where environments can be hostile they can be easy to use they can
00:41:19.340provide for our needs they can be full of care and this is one area where the where you know i've been
00:41:25.900working with academics and architecture for a while and this seems to be an area where there
00:41:31.940could be some interesting engagement with technology or that there will inevitably be
00:41:36.340an engagement with technology so the question becomes then how do we make that a good one
00:41:40.660might do just on a very basic level like spatially the challenge of architecture when it comes to
00:41:46.660computing is that the user isn't the individual that you kind of see through the phone camera
00:41:51.660it's a group of people and that implies these elements like care being present and these
00:41:58.940elements of sociality one of the things that keeps coming to mind is some research i saw recently
00:42:04.040pointing to the need for social embedding and for networks of care in absorbing climate change
00:42:15.460understanding so you know i can see opportunities at the intersection of architecture design creation
00:42:25.580of technologies that would take into account sociality and help provide frameworks for
00:42:31.580coexisting with other people that could help mitigate some of these some of the information
00:42:37.460that we're having to understand some of the understanding we're having to absorb help us
00:42:40.840deal with the current context and i haven't spoken much about play which is something that's
00:42:46.520in your question i mean that's really how i came into this space of working with ai was
00:42:51.920by working with artists and seeing their playful relations with AI. I mean, there's also critical
00:43:01.140relations. There's also poetic relations within artistic use of AI, but what really is obvious
00:43:08.700when you bring an artist into the research setting or the corporate setting is that
00:43:14.180their impulse is playful in comparison to the type of normal motivations of research. There's
00:43:21.280some play involved in it sure but in general their artists come in and say well couldn't we do this
00:43:25.920and then people are like well why would we do that and they're like well just because you know
00:43:29.380that's what i want to do that seems like that's what's interesting here that would be a fun thing
00:43:34.180to do that would be a weird thing to do that would be a beautiful thing to do and those
00:43:37.700modes of operating and those those motivations are are are not very present in a lot of technology
00:43:46.420production so you know having artists come in to show us the fact that we're not doing those things
00:43:51.300has actually been very helpful it's like play challenges efficiency and i appreciate that
00:44:01.220in some ways just to kind of shake us out of the forward motionness of work and yeah thank you for
00:44:13.960speaking to that. And also in preparing for this interview, I came across an instance where you
00:44:19.580explained your responsibility to the sector of work and that it's both careless and a privilege
00:44:26.600to back away from this realm altogether. And so often we hear conversations where it's proclaimed
00:44:33.140that we don't need this. We don't need any of what technology or artificial intelligence has
00:44:39.140to offer us, and why even bother with it? And perhaps there is a great deal of truth to that,
00:44:45.300but that doesn't change the fact that we have it, that society has given birth to this age,
00:44:52.100to machine learning, that we're just as dependent upon these intelligence systems
00:44:57.700as we are to fossil fuels. So I'd love to ask you to speak to your own journey when it comes
00:45:05.320to grappling with the responsibility that we have to the likes of artificial intelligence
00:45:10.720yeah it's funny to think about like when you ask about like my own journey I guess I'll just share
00:45:17.480this story it's a little personal but I remember I had come from New York and driven out west I'd
00:45:25.040given away everything I owned and moved into a van with my partner and driven out west and this was
00:45:30.880about 2011 and ended up after settling in a few different places in seattle and i was
00:45:37.680sitting outside of a place where i was working which was a you know i was going through this
00:45:44.200thing where i was like really questioning like money at all you know like what how does it even
00:45:49.660exist like what why and through circumstance ended up having to get a job at a place that
00:45:57.000lent money to jp morgan so fate was really kind of like giving me these like polar experiences and
00:46:03.760i was outside of that place i was smoking some tobacco and contemplating like all the things
00:46:11.940i had done in my life and feeling like i had kind of washed ashore and like run aground and feeling
00:46:16.580really kind of without agency and i really questioned what i cared about and i really
00:46:24.680cared about changing the system that I was in and I had been making an active effort to drop out of
00:46:30.780it as much as I could and it wasn't successful and so at that point I decided to I had been a
00:46:36.780freelance software engineer for about 17 years probably at that point and I decided to go get
00:46:42.280a job in product design because I felt rather than becoming an activist in a conventional sense I
00:46:49.660didn't really have any capacity to do that in specific but i could go into design and i had
00:46:58.480a pretty high degree of agency in that because of the work i had been doing so that was the point
00:47:04.520for me where i sort of i guess took responsibility for the career that i created or really committed
00:47:14.080to being an agent of change within that system was after a sort of half-hearted maybe attempt
00:47:21.440to pull myself out of it and realizing that like there was no outside to my experience as a
00:47:28.120participant in capitalism as much as I would have liked there to be like I was really just reducing
00:47:34.280my agency within it and so that was how I personally came to that but I agree it's a
00:47:42.000a little bit of a chicken and an egg scenario where you're like should we be fixing this should
00:47:47.540we be stopping it and there is power in computation there is the ability to do more
00:47:56.840and so the question of like what it is that we do with it is really important and in many ways
00:48:02.540goes unasked or gets masked by the nascent ideology or the latent ideology of silicon
00:48:09.080valley which has roots in the counterculture which has roots in the human potential movement
00:48:12.980and often kind of presents its utopian face you know i think in the last few years we understand
00:48:18.560how flimsy that is but for decades it was a the silicon valley ideology was able to sort of surf
00:48:25.820on its countercultural credentials that somehow imbued it with a at least a humanistic good so
00:48:33.200yeah there's a lot to take responsibility for as a participant within that and I guess maybe one
00:48:40.360question it's important to ask ourselves is am I a victim in this situation am I subjected to these
00:48:47.020things and where is my agency in how I interact with them you know when it comes to like social
00:48:53.520media for example it's something I've like largely quit using you know I do use Twitter to keep up
00:48:59.760with news and things like that. But I, I found that as I pull out of it more and more, my own
00:49:06.180engagement was, was what was producing the ability for me to be manipulated by it. And there's
00:49:11.500obviously reasons to use those tools. And I think an important skill for us all to develop is to
00:49:18.480understand like when manipulation is happening and to learn how to not participate in our own
00:49:23.440manipulation i was snapping for you in my mind with that i'm such an important point to understand
00:49:33.820how we are feeding our own manipulation or feeding into the things that we feel victimized by
00:49:41.700and i do think there are things that are by systemic design and we are in a sense
00:49:49.960controlled by it outside of ourselves and then i also know that we are the ones who also keep the
00:49:57.680machine churning because we keep buying into it in multiple different ways and so balancing those
00:50:05.520two sides of knowing that there is systematic oppression happening and also knowing that we
00:50:11.760all have responsibility especially as modern for those of us who are in the dominant culture
00:50:17.700are feeding into this system that we also want to take down simultaneously. And it's so
00:50:22.860challenging, especially I know for a lot of activists out there who,
00:50:29.280and I know for myself too, I do live a modern life and I do have an iPhone and I do have social
00:50:35.540media. And sometimes I feel so thrashed by it. And there's a lot of guilt, a lot of frustration,
00:50:42.720but also a lot of convenience and a lot of things that I have become so accustomed to having.
00:50:50.520And sitting in that discomfort is really important for our growth, for those of us who want to
00:50:58.000see through this. And I think the points you made around, yeah, responsibility and manipulation are
00:51:05.760just so at the core of what we need to be considering when we decide to kind of create
00:51:13.200our belief systems around these larger narratives and, and yeah, elements of control. And I think
00:51:21.860we also need to recognize that AI is, to talk more about AI is still being developed and it's
00:51:27.800not fixed. So, and I guess technology in general. So I think we need to recognize that AI
00:51:35.420is still being developed and it's not fixed. So as we near the end of this conversation,
00:51:41.660which I wish could last forever, I would really love to ask you about your work with artists and
00:51:48.040machine intelligence as an interdisciplinary liminal space that is very much committed to
00:51:54.080the exploration of machine intelligence and relationship. And yeah, do you think that
00:52:00.480deepening this relationship addresses the damning narratives put forth around AI and technology
00:52:07.200as a hazard to our health and humanity? And if so, what work needs to be done to ensure that
00:52:13.880the relationships being tended will also address the reality that AI already poses a substantial
00:52:19.420threat to marginalized populations and those who already experience the greatest burdens of
00:52:24.500inequality well artisan machine intelligence has been a site for these interdisciplinary
00:52:32.280conversation it has been a liminal site and it's allowed voices to critique and to be heard and to
00:52:41.420express new possibilities that definitely would not have come about in a traditional research
00:52:46.020context now is that changing things on some level it probably is but it's a cultural program
00:52:55.180and culture art as something that represents or addresses certain things isn't necessarily
00:53:05.480that empowered within the tech world so there's a discursive freedom that we have and there's
00:53:13.620an ability to critique and to generate new ideas, that certainly has an impact. And I can say that
00:53:18.300the leadership in the group that I'm in have really had transformative experiences in conversation
00:53:24.040with artists and philosophers that have changed their approach. And would I like to see more of
00:53:29.320that in every tech context? Absolutely. Do I think that it's enough to right the ship? I don't.
00:53:38.380There's lots of on-the-ground work to be done with representation within tech companies and bringing voices into the process, hiring people that naturally have different experience from the majority of tech creators.
00:53:55.200Those are fundamental things that we can't ignore that will help.
00:53:59.860And I think the questions, there are questions that go much deeper than AI in specific that need to be addressed, but AI will help us surface.
00:54:12.320AI is for many people a mirror of belief, meaning that the cultural image of a powerful mind that doesn't seem to have a body, that has some ability to control our environment in some way, is essentially a god.
00:54:32.580And people have projected all kinds of different things onto AI as a sort of mirror of their own belief.
00:54:41.640And this, I think, is a very powerful function of AI as a rhetorical tool and as a cultural device.
00:54:47.520It also becomes a mask for it to wear.
00:54:51.040And the true making of it is much different than that.
00:54:54.880But when people come to this technological context, when people talk about AI and it brings up these assumptions, that's a good site to intervene or to discuss why those assumptions are there.
00:55:08.840when people imagine as sort of all-powerful singular ai that watches all and has punitive
00:55:16.460abilities and knows everything they're really reflecting a certain construction of what
00:55:22.020deity is and it's really important to understand like why we bring those beliefs to the table
00:55:28.000when we talk about ai because that's what's happening all over for everyone that's making
00:55:33.580it these beliefs these implicit beliefs are being brought to something that can have a lot of
00:55:38.840capacity for receiving projection. So, you know, there's so much to be done, but how we do it and
00:55:46.200from what set of assumptions we're doing it, it's really critically important to surface and to
00:55:51.580understand. And one way of doing that is by being in diverse relationships with people that have
00:55:59.200different views than our own. So different views from their own life experience and different views
00:56:04.740of different assumptions that they bring to this mirror of AI.
00:56:13.560So interesting to think of the belief systems we put on technology, this godlike figure.
00:56:20.280It's really, yeah, I think I had thought about that before, but hearing you say it really
01:04:20.020and it's yeah I just appreciate how much you're able to hold and understand and weave together
01:04:27.720and I feel like you consider so many things that I know I take for granted every day things that I
01:04:36.580just you know technology and things that I just use without really thinking things through or
01:04:43.900what the phone is even thinking of me I mean there's things that you said in this conversation
01:04:47.840I'm like, whoa, I have never even considered that. And so I really appreciate the complexity that you are holding and the integrity in which you do so. And it's been so fun to talk to you again. And if there's anything else that you'd like to say, or if you feel complete, it's been, yeah, it's been a really wonderful, challenging and expansive conversation.
01:05:13.660well thank you hannah so much for the multiple conversations we've had i'm really grateful that
01:05:20.320we became friends and i hope that your listeners responses and feedback can somehow find their way
01:05:30.220to me or i can i can learn through their reactions to what they've heard in this conversation because
01:05:36.800you know, this is all a process and I'm trying to learn through it as well. So I really appreciate
01:05:45.500the space that you've been holding for me to be able to think out loud with you. Thank you.
01:05:56.660Thanks for listening to another episode of For the Wild podcast. I'm production team member
01:06:01.380Carter Lou McElroy, and the music you heard today was from South London Hi-Fi, Bad Snacks,
01:06:06.300and Kenry. I'd like to thank our host and founder Ayanna Young, as well as the rest of our podcast