On Love, Data and Technologies Rooted in Care

one this is the stony brook university college of arts and sciences preview session i'm amanda mills assistant director of admissions for stony brook and just a few housekeeping notes as we begin you may use the q a feature to ask our speaker any questions and we will answer them at the end of the presentation also note that this session will will be recorded and available on the admissions youtube page later this week today's session titled on love data and technologies rooted in care is going to be presented by stephanie dinkins professor of art at stony brook welcome professor dinkins it's all yours wow thank you amanda it's so great to be here i'm happy to be a part of preview sessions um and hey everyone out there i'm going to um talk to you a little bit about my practice and what we're thinking about here in the art department at stony brook um thinking a lot about you know art in far-reaching technologies and the future doing that in my general efforts as a professor and also as the director of the future history studio which i started this year on campus so let me tell you a little bit about who i am and what i do and i'll show you some images so you can get a sense for that and then if you have any questions after that we can um talk about them so here we go let's give a share screen quickly um all right share sound share screen yeah so as we said my name is stephanie dinkins that's not all that important um i think the things that are important is that i'm an artist and really i'm an artist who started off as a photographer so i'm a photographer who is now looking at artificial intelligence um and other emerging technologies far-reaching technologies that are forming the future and you might wonder like how did a photographer get to ai right how do you become the person who's dealing with ai well for me it's all about this um robot that you see me sitting with so um this is me um the human here and bena48 which is an emotionally endowed robot the the terrace and movement foundation is working to transfer consciousness from a person or a small group of people into this robot so that they can make this thing that can go on in perpetuity and kind of carry on um the thoughts and life and emotions of the person being a rothblat it is based on i first encountered this robot and there we are at a conference together um on youtube and i was really really um floored by the robot itself because it's pretty amazing to sit in front of a robot and as a black woman i hadn't seen that many black women robots um so i was really curious about what this thing was where it came from and why it existed and really who's funding it so as i said before it's the teresa movement foundation who's funding it um and then i asked them if i could meet the robot and clearly i had a chance to meet it and once i met it i wanted to become its friend so i started a project and this is really in a in a lot of ways just a documentary photography project where i had conversations with bena48 and i would record them um and i was trying to become her friend and figure out what that thing was all about and from talking to being a 48th which really means like i would go to vermont and sit in front of this robot and ask it questions sometimes it would answer sometimes it wouldn't sometimes we would be at odds with each other because it wanted to talk about the singularity and transfer of consciousness and i wanted to talk about things like family love and um race and so we were at odds and what it talking to the robot did for me was make me think a lot about what the technological future was going to look like especially for folks of color who are not necessarily the ones who are programming a lot of the far-reaching technologies that we are encountering and will further encounter as we go forward and really what i came to the conclusion of is that we're at the start of an epoch that is completely changing the way we live work love and remember and as the world is constructed through algorithms and big data we have to find ways to ensure that the ai systems in particular that we encounter right so in the ai systems that are all around us from our phones to medical systems that help diagnose us to the the justice system that says who gets to go to jail and for how long in many cases that we can that they understand us and have like real intrinsic self-determined pictures of a myriad of communities so not just one community like the community that's making that and you might think about silicon valley or other kind of bastions of research where people are doing research on these things but they're often homogeneous sets of folks and really what i'm talking about is they're often groups of white men for the most part and the question is how do we start to form our world um so that it just does not reflect their aims but reflects all of our aims and my solution to that my solution or my thought about that um especially through encounters with being beena 48 is a by engaging with technology even though um i'm often told that the technology is something that um is hard and maybe i don't have access to and then trying to change it in whatever way shape or form i can for example in this instance this is me sitting with the real bina rothblatt with veena 48 behind us so the real person being a rothbard is a primary influence on the intelligence of bena48 um and asking her questions about race um that i felt were really left out of the robot or that the robot had a sense of um you know racial ethics um in itself and and ideas of racism that were bad but it didn't have deep experience and it wasn't expressing the things in the ways that i felt like my community really experienced them and i thought that was kind of dangerous right so i got to sit down with uh being a rothbard and interview her um and through those interviews were then added to uh the robot so that there was a more nuanced story of the way that bena48 and bina rothblatt could express ideas of um race and what it means to to walk through the world as a black woman right and so that project really set me off on this long-term um exploration of these technologies this was a first for me started in 2014 and i've been doing work around this ever since and in fact the next project after that was called not the only one and this is my project where i tried to make a voice interactive artificial intelligence um kind of like being a being a 48 but without the robotic body um that tells the story of the multi-generational story of an american family and in fact what it's doing is trying to tell the story of my family so what this really is is a chatbot that's been informed by the data um and oral histories from my particular family and really it's three generations of women in the family who have informed this thing um and then it it goes out into the public er you know through exhibitions and tries to communicate i will say that it's not something that's very fluid i've i've managed to make this very wonky um object um that is a sculpture that will talk to you but isn't very um communicative in certain ways and is very communicative in other ways um and uh let me explain that this the whole thing is based on these oral histories first and then i'll come back to something right so we just interviewed each other um uh the three generations of three women we talked to each other we interviewed each other and i use that as the data for my chatbot the problem with doing that is that really we don't have enough data to um make a really robust example of a chatbot but i kind of insist that we stay with our limited data because um a lot of the systems that i was asked to build on top of right so when you make this kind of chatbot what you're usually doing is you have a set of algorithms that you work with or an algorithmic system that you work with and it's informed by data but you need a lot of it right if you think about something like google or amazon and the kind of data that they use or have at their disposal it's it's time that's all of our data coming in and being used and most of the time or a lot of the time for such chat bots people will use things like the reddit data set which i did not want to base my family history on or even something called the cornell movie data set which is a dialogic right data set so you have a data set that has a lot of q a of people answering questions um that i didn't want to base my family data on either because the history of american movies is not very supportive of black life and being blackness in this country right so to base your family's history atop that felt really wrong to me so i always come to this point where i'm trying to build this thing and i'm using information that doesn't quite suit the the task at hand and so instead of just building on what's available which many many people do and actually the data sets that i just um mentioned are data sets that many researchers will use or grab and or people making projects we'll use and grab and just base their projects on them and keep going and i i find that difficult right because i'm trying to think of how we really preserve what it means to be a kind of black family that was striving and has very particular ethos and have that ethos come in and not be kind of crafted by general language right and and i really think of this as oral history as the data as it's an act of social resistance and preservation of the family so i'm being really careful about how i use and disseminate data um and where it goes for instance not the only one is based on a closed system so that um you know we don't go on the internet because that would do something again the only way place it does touch other things is when people talk to it that data is incorporated to the project because it goes in and gets trained back through but through not the only one which you can see comes in this form of this ernie thing um with three faces on it i'm trying to think about what do machine learning or ai systems created by and for a community look like what are the perils of systems created uh for but not by a community right so you know if google makes a system that we are all working on and a general use system that's fine but what happens when you use very particular data that is representative of those that you love um and want to care for how does it change the equation and then how can oral history and small data help break the mold of big data collection and we all know like that every time we use our phones or every time we answer a questionnaire in particular um that data is being collected and used in different ways sometimes to sell us things um sometimes for much more nefarious purposes but how do we like start to think about um a how to impact that big data so that it is more nuanced um and can be empowering processes for for communities and when i see communities i'm usually thinking from the the perspective of my particular community but really this i think applies to any community that isn't a part of the hegemonic norm right how do we preserve those small things about who and what we are and what connects us and what makes us somewhat different um how do we how do we preserve those things in a system how do we keep keep that a part of of the cultural memory of who and what we are as a human family right um and so i've been talking about small data and this is is like having data that's meaningful that's that's organized by community that's accessible understandable which is a whole other question and actionable um how do we get our systems to understand the value of small data and use it as opposed to gobbling up all the data and homogenizing us i think of it as homogenizing us into lowest common denominator definitions of humanity um so this is just me whoops let's go back to that hold on let's go back um this is me talking to not the only one a little bit let's see if she'll play now um go why oh i keep doing that sorry people why do you exist the way the way to what i'm gonna be a little bit of a little bit of a lot of things good for you why do you exist i am about broad engagement and attracting people to the ai space who might not be there otherwise i am trying to model different ways of creating ai i encourage people who think that they are not a part of the technological future to get involved so in that clip you hear me talking to not the only one and two kinds of answers one that is something that not the only one that the chatbot comes up with on its own that's the way it's kind of a nonsensical answer to a question although you could argue that it's not exactly nonsensical and i feel that like the the algorithm is kind of taking all the information it has um really percolating it and then coming up with the best answer it possibly can and then the second answer which is a prepared answer so you ask a very particular question why do you exist it has a preformed answer and i find that the least compelling bit of research here because you know we could do this and make this thing very straightforward where people would ask it specific questions it would give answers that people would kind of be satisfied with but that's not um about a kind of growth and feeling the ethos of a family it's more about just regurgitating information and and the projects and actually all of my projects are about um questioning systems and seeing what they're what's possible for them for example for me the best thing that not the only one has ever said is um take it to the would be and this is something it came up with on its own um in answer to a question that i had asked it and i love it because in that answer i hear echoes of my grandmother and the way she would use kind of metaphors to get you to think about things instead of telling you something straight forward um and so i know that this thing is starting to pick up somewhat of the the ethos and ideas of the family even if it is kind of in hard to decipher ways um and what this project is really about is the statement that i found from amiri baraka um from 1970 and so pointing to that is also pointing to these cycles of us kind of waking up to trying to shape our world in certain ways um and and seeing what's possible so amiri baraka wrote machines as norbert weiner said are an extension of their inventor creators that's not simple once you think machines the entire technology of the west is just that the technology of the west nothing has to look or function the way it does that's the really important part for me the west man's freedom unsigned unscientifically got at the expense of the rest of the world's people has allowed him to expand his mind spread his sensibility wherever ever it could go and so shape the world and its powerful artifact engines so my question that that comes out of that is well how do we each kind of look at these technologies that for a lot of us seem out of our purview right and then influence them and shape the world in ways that we feel that will be supportive of us and this is where i start to think about what data and love have to do with each other right how do we um really start to mold the systems to care for the communities we care for and i would argue that caring molding to care for the communities we care for helps to paint a broader bigger picture so that the systems care um in better more nuanced more informed ways for all of us right okay so let's see i'm going to skip a little bit this is not the only one in an upcoming um iteration where she becomes a very representational model um and actually you know i'm excited about this because i want to see how people will respond to this thing in a form that that is something they know versus a weird sculpture and i will say that when people see the sculpture they're very generous and great and full of grace for the thing and patient with the thing so i wonder what will happen when she is uh an object that looks like a human we're gonna go here and i'm gonna talk to you a little bit about other people who are trying to shape right and form things so that they care for the communities they care for so this is a art project by an artist called pretty dark and it's an open source afro hair library and so pretty dark is trying to get all these different forms of black hair um for people made so that people who are making 3d projects have hair that feel um good and intrinsic and usable um for black characters and this is important because it's really hard to find black hair and in fact that image of not the only one i just showed you we spent um months and months and months trying to develop the hair that felt good um um to black viewers right that felt good to us that it does things that we know so she's making this repository that people can contribute to so that there's a library so that there is not this dearth anymore um this is alice shepard um who is also known as wheelchair dancer the person in the wheelchair on the bottom um they were trying to make a um some vr um pieces for you know well motion capture for for vr or ar um and what was really interesting was she was working with people who had work were disabled and as they put the motion caps or suits and what in the in the software the software always tried to fix their bodies right so the software tried to make their bodies more normal and the you know that's a whole community that we have these technologies that we work with that don't understand something of difference a large population of difference and the question is how do we start to make it so that these technologies love all of us right across consist constituencies across communities enough to capture us how we are where we are not what we should be in in some optimized version right and so people who are working with systems and trying to capture things that are outside of the norm or that are often ignored because they're not the prevalent form or format and this is larger name mcmillan who is an artist who is um archiving data um movement data right so she's archiving black movement and again creating an archive or a repository of movements that are very particular and saving them and and using them in projects so that you can go forward and this is the kind of work that a lot of people are starting to do where they're trying to preserve um the the ways that their communities work within the world um so that they can be better represented in these spaces that are virtual and as we know we're getting towards more and more virtual spaces um where uh you know a lot of our lives like we've heard of the metavate metaverse web 3.0 where we're starting to think about what it is to live excuse me to live in a virtual environment right and so um my answer to this this question of like how do we how do we start to mold the world into something that recognizes us and that's a big us right uh no matter who we are i feel like we have nuances that we want to preserve or maybe cultural specificities that we want to preserve so i started this project called binary calculations are inadequate to assess us that's a title and it's an art project it's really a website and a phone app that are trying to well let's let's read it right that asks how we can make our technological systems and these are systems that control our governments our relationships our institutions more caring right that are becoming more and more ubiquitous around them so if they are around us right don't we want them to um instead of being punitive instead of just watching us care for us making sure that they have a space and understand what it means to support um and get things done from a stance of love and care rather than um what we can take away how we can be punitive how we can catch you do something doing something um and it's based on this idea that much data and wide use so these data sets that people use to kind of build systems is inadequate meaning they don't have enough images of people of color they don't have enough um you know ways of speaking and using language that rec that can recognize multi a multiplicity of communities how um so they're not competent to really assess or support most on the planet um and what do we do about that my my idea is that we start making our own databases that describe things in more broad nuanced terms and the best way i can describe this is something i call the wedding dress problem right so if you google wedding dress especially here in the west the thing that you are most likely going to come up with is this white wedding dress that we see um on the left or or right right but the the typical white wedding dress um when in fact each of these images is a wedding dress so there's a ghanaian wedding dress and there is a indian red sari wedding dress the question that i have is how do we get our systems or our algorithmic systems to recognize these things equally as a wedding dress right um how do we recognize um all these things instead of saying this one thing is the thing and the others are kind of sub you know sub genres which is not necessarily true um and my solution to that problem as i said is this app so you can go on what the apple apple app store or google play store and dine download bcai this app that will ask questions of you and ask you to donate your data and it will also talk to you about your privacy and what happens when you generally provide data to whoever or when your data is collected whether with your knowledge or not um and right we start with simple things like how do you do well maybe this isn't simple at all how do you define care like what does it mean um to care especially if we're thinking about a society of care how should we think about that how should we define it what would make it work well for most people on the planet um right and so there's there's this app um thinking about our algorithmic ecosystem and how we as citizens can can inform it with better data for example if i am someone um who wears a ghanaian wedding dress i want to provide a definition and what that looks like for a system so that it can then start to recognize that um and as i said it's talking about your privacy as well and we're asking let's see if we can go here asking questions that is like can we create data sets of care and generosity and to my mind creating a data set of care and generosity is creating a system of care um and the way we're getting at this spring particularly is to ask people hey upload an image that illustrates close attention concern or responsibility in any way you see fit so we're asking people take a picture or upload a picture that you have and tell us why it it illustrates this idea of care and when you do that you're labeling an image with a um with ideas that are particular to you and your community right how do you care for black women that's a question for all of us and then what questions should we be asking others donating data so what should we be asking we are just a small team who made this app so we want to know what you think we should be um asking to inform the greater systems that we are all a part of um better and deeper right and here's here here are um the qr codes if you wanted to download the app and a nod to my collaborators um this project was made as you can see with a a team of people um and i have to say that the working in this team was was wonderful because we had all these deep conversations about data and we're all from different communities um and what it means to our community and why whether we want to contribute or not and why and how we think these things can function and i think the project is valuable right there but then once we start to involve others we'll see what grows because over time we're going to take in this data and then we're going to create data sets right for use for researchers one that is for images so that if you want to do something that is image based you can download this hyper nuanced version of an image data set or in one that is uh for languages so that if you want to work with language you have as i have right with not the only one you have a data set that is reflective of many communities in a very particular way versus general language um this is not the only one um i'm sorry this is binary calculations as an installation so we we kind of show the website and then put it in a voting booth because i think in a way this is us kind of voting and registering our votes about the things around us um to craft you know ways of going forward and really all of this makes me think about these ideas of code uh practices craft and ancestral technology and i like to think of it this way because i'm trying to encourage um through my work and through talks people to who aren't necessarily um you know automatically inclined to work in this area to start thinking about why they might and how they might um whether that be coding whether that be um just calling out problems like how do you start to engage this system especially in a world where um many of us are often told that we don't have the mathematical chops to work in this area um we don't have the you know whatever it is that we don't have to to get involved in this how could we get involved because um you know ai um is data is a space that touches us all and so i i think it's also a space of civic engagement that we all have to find our ways to impact otherwise we start or we're living under a system that does not necessarily know enough about us to work with us so in terms of technology as in ancestral technology and craft craft demands care risk taking duration refinement flexibility of process and the conscious application of intelligence and so stands as a crucial counterpoint to instant answer push button living even if it is at times tacit automatic and technology technology infused craft holds out the promise of remaining apart from and gaining perspective on the machine and that's the part i'm really interested in right so a crafter is a craft is something that we can all do right tinkering i often talk in the way of tinkering is something that we can all do as i said up front i'm a photographer i'm not a coder i've been tinkering a lot in code and i spend a lot of time on computers these days trying to to make things that impact these systems but the question is what's your in so if you don't have the math chops to do this could you be interested enough in a project to do it anyway um not the only one is an example of that for me like i was very interested in my family's history and use that project as a way to learn more about the history and then to allow the algorithm to teach us things about ourselves by the way it processed that information so just finding a way in a little bit more about binary calculations and what it looked like and the important of process is this thing where so what we're looking at here is um an image of something called imagenet imagenet is a very large image data set right so you could go online right now and go to imagenet and if you wanted to do a project that needed images that are tagged and labeled for you in some algorithmic system you could go there and use this data set this data set is is based on another lexical um data set um called wordnet and the thing that i have problems with with things like imagenet is like it's historical perspective so the the little columns that we're looking here are the ways that black people are described in imagenet and we can see here that there are some some deep historical ways of referring to black people that are outdated within the data set um so there are biases built in um and the biases are not necessarily corrected they're just in there um and you know i always think about this because i don't necessarily believe in erasing history completely but in accounting for shifts in the way that we think or waiting things so that you know the first thing you don't come up with are the kind of common derogatory terms is really important to me and by comparison then you see how white person is described um and then you see the last column is asian per like in and it didn't have a really good sense of asianness it just listed a bunch of different kinds of asian and so anything in that data set that is described in in terms of its asianness has to go in terms of its very small subsets and maybe that's a good thing but maybe there should be a kind of overarching space so the question for me is like how do you influence this so it does a better job at categorizing images that contain images of black people right or images of asian people or white people how do we do the best job possible now in this contemporary time of labeling our data so that it serves us so that it loves us right um i'm gonna skip this one today um and i'll say that you know i think that systems are doing better jobs of labeling um but then we come to another point so this for example is an image from a site called unsplash unsplash is a as an image repository like if you needed images of something you're looking for an image you might go to the site and i go to the site particularly because it does a pretty good job of providing a variety of images of black people right so i'm often looking for those kind of images for projects and so you can see on the bottom of the image the image is tagged current events black mom black mom okay great but then that text on top where it says alt text description so this is the way that somebody described this image um and it's like the alt text like if the image didn't show up or if the small categories didn't show up this is what it would say it's a grayscale photo of a man and a woman holding drinking glasses now when you look at this image it's like what like there's a dish this is a clear disjointedness between the side description and what's in the image and the question for me is how does this happen and why does this happen and what does it mean if data sets contain images like this and then start to be used in other people's systems to describe things right and you know what happens in instances like this is like oh when when images are tagged often people are highly higher folks like mechanical turks so people who are paid penny on pennies on the dollar from around the world to kind of label images and in this case the only conclusion i can come to is well somebody in a cultural context that they clearly don't understand what this image what's in this image and what it's about wrote this text um i wonder about their grasp of the english language and i particularly wonder about their understanding of black culture right in uh by the way that they describe this image now if you imagine this kind of image being labeled exponentially over and over again incorrectly or with odd odd descriptions what that does for a system that's trying to work and use this to create kind of clear versions of things right trying to recreate images or or provide a kind of representation of a people through images if they're this poorly if they're this poorly labeled um and if you're interested in such things and want to see what's in data sets that you um encounter you can go to the site and it's actually a google site um but it's called know your data and you can explore what's in a data set or what's in a given data set and it's interesting to go in and see what's what what images are in a data set and then how they're labeled and then you can think about well is this something i might want to use if you're making something or it just gives you a kind of cultural context of what's within the data that is describing us for these much larger algorithmic systems that are all around us um and i'm going to tell you how i got here and then maybe we will leave it there so the way that i got to this inquiry especially for binary calculations was um you know right around the time of george floyd i tried to use something called an image to text gan so an algo an ai system that takes a text that you type into the system so you type in a text i typed in a black woman crying and then it tries to make an image that illustrates um that text and so when i typed in a black woman crying and i did this on a system called runway ml which is available online although it's shifting its focus but you can go and check it out um and it uses a general adversarial network so it's using kind of images and they're kind of fighting back and forth to try to come up with an image that expresses what's in the in the text but this image is kind of a white figure with a black cloak and i started thinking well why can't i get like why isn't the idea of a black woman not available to me um through this system right and the conclusion i've come to is that the data set that it's using doesn't have enough images of black women in it to reconstruct an image of a black woman now this was done maybe two and a half years ago and things have changed a lot and actually there's a system that is much more advanced um but it's still not perfect right um here's another another similar set so i do these as kind of experiments so this one was made on google collab which is another site that you can all go to and play with these algorithmic systems and see how they work and start to form um your ideas about how how code is put together and that how data is impacting that code and how you might change it like my question is always well how might i change it to get better results for the communities that i'm concerned about and then how do i funnel that back into our general data right but this one i said an african woman i'm an african-american woman smiling this is the image i got back and you can see it's a little better it's closer to the idea of what an african-american woman smiling might look like i'm interested in the time that it um exudes because it for me it exudes this kind of 60s 70s 80s portraiture and then if you look at these images you can see these are some of the images that it's starting to pull to make that that final image this one is the final image and these are some of the images that it was pulling and then smushing together to try to come to that image and you can see the morphology and the way that this works is that um the algorithm takes pulls images from a data set as many as it can and i think i ran a thousand iterations on these and so it goes through a thousand iterations trying to make an image of an african-american woman smiling from the information it hasn't ex at its disposal for argument's sake this is a dark-skinned african-american woman smiling i tried dark-skinned african-american woman because um i tried it dark skinned black woman and it was a worse image than this one and i was trying to give the system a chance to come up with something that seemed viable but this is where it was and this is about a year ago that i made this right so things are changing and this by comparison well these are the background images that it was pulling for this um to make that image you get one image of a kind of black woman in there and then this is a woman smiling so i just tried like a default to see what it would come up with and it comes up with this kind of vaguely pinkish woman um and something that looks womanly as well right but you can tell these systems kind of still make things really gritty in lots of ways but doing the experimentation to try to figure out what um these systems can do what kind of data informs them and then in the long run can i add back data to impact what is coming out of those systems right and that's the suite of images as they get shown in a gallery just so you can see what they do and so the question of what's love got to do with it i think love has everything to do with it in terms of the way we think about how we are who we are and why we're using these technologies right now we seem to use the technologies a lot to correct or streamline or be punitive and i think it's really important that we're starting to think about well how do we use these systems to honor our stories to do things that support um and help us understand each other way more than they um detract from um you know provide definitions that are static and stereotypical like how do we start to move that button and my my solution truly has been thinking now a lot about story um and the idea of stories as our algorithms because stories have been around for millennia we've told them forever um and i think it's more important now than ever to tell our stories um you know and shout them loudly and deeply and help others understand our story so i embarked on this turn of um making projects like secret garden um which is a interactive piece that lives both in uh installation so this is a installation space um where things are projected and people can walk through and they hear stories um of six women um and really they're the stories of women from i imagined a slave girl to a girl in the future that we don't know yet um plus bits of family story woven in there to kind of get at how we stand on each other's shoulders and how we support them and the piece when people what went through it is really about can you listen to my story like for you it's about can you listen to my story can you hear it and really be attentive to it even though it's hard to tell where it's coming from or who it's attached to can you give in to that story hear it and then walk with it really and i'll give you this last bit of secret garden as it lives online if you want to see this you can go to secretgarden.stephaniedinkins.com um and you can cruise this piece on your own because it lives online um and is open for anyone to kind of cruise through and it's literally a garden that you and this is me navigating come into and if you listen carefully you'll start to hear stories and as you hear stories you kind of cruise through and find characters once you get to them you'll hear us very clearly the black families live there too most live near each other on the edge of town just on the right side of the train tracks i grew up in that small remote excerpt as my mother did because this is the place my grandparents settled after their migration north most black families in the areas lived in a place called the flats it was an eight family complex of shotgun apartments they were probably the closest thing to the projects in tauntonville i learned years later it was the only place that would rent to my grandmother and her family if you notice the characterism talking she's just there and it's like i think of it as a kind of benign conversation nothing artificial about that now is there that very well spring is as vast as it is deep and rich with all the accumulated knowledge and experiences emotions and actions that every human being has had since the time before time and so that's all and i will leave it there with the idea that our stories are our algorithms that we think about and the idea of sharing story um as an important part of the process of informing the systems that we live amongst and the idea of calling out those systems when we think we've seen something that is injurious or harmful or not what we expect it to be and and letting folks know that there's a problem um thank you very much and are there any questions thank you so much stephanie that was great um do any of our attendees have a question you can either use the raise your hand feature or the q a feature if you do not want to speak just um let us know we'll give you a few minutes let's see q a i don't see any questions um i was thoroughly engaged so thank you so much for presenting for us this afternoon thank you everyone for joining us today's session will be available on the stony brook admissions youtube page and i will conclude today's event thank you stephanie so much and thank you paula have a great afternoon okay you too thank you all bye-bye bye everybody

2022-04-10 15:06

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