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cairocode
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MSP_POD_NLP

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good words as it went a lot that you-
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now one thing that i don't have up here is if you search for t-dress on-
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being used to gain amazon results and
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amazon is remarkable at its ability to take recommender systems and parse the data in-
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amazon has recently, excuse me-
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so as amazon's platform gets more crowded and its marketplace launched through-
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fake spot and review meta are two of them that-
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once you get into one of these groups...
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so that's how that works-
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search for it. again, what you need to know about cancer is that the government has been keeping the cure secret from you and-
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have to go and pay money to buy the thing, to leave the review. so.
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and here's again, an example of collaborative filtering where the anti-vaccine movement used to be kind of ultra lefty-
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counter isis. counter isis
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the way that a lot of these, more-
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but none of them serve up that one with 19,000-
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i guess this is a question that follows on some of the things that jonathan was asking. the conspiracy matrix, where it's not only-
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part of the question is how do you think that the recommendation system is recognizing that cross conspiracy? is that patterns of pur-
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but it's one of the things that we really keep coming back to them on is like, we need better third party researcher, relationships like-
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about improving the research relationship. and then they came out with their announcement two weeks ago with ssrc. i think then it becomes, they need to-
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four chan reading the coordination, or they're not infiltrating discord channels or doing any of the things that other types of-
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is, i think steam reco... yeah, they recognized they had a problem and that was what kind of got them there...
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and so we're trying to think more in terms of how do we deal with ideas of manipulated narratives and manipulative behavior.
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the problem is it a lot of the regulation's really bad and i say that as someone who has been discussing what is a bot.
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and things like that. and-
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fsta and csta and some of the other bills that are...
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to not manipulate that information.
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or at least has been a field of cyber law.
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who is this lessig person?
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[inaudible 00:09:05] town hall. it's important to show up even if you don't understand the tech...
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becomes the baseline. we all begin to expect what we are told or how we're told the technology-
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and to participate in the choices or at least to weigh in on the kinds of underlying values that each of these
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by how difficult it would be to, for collective action problems. for all sorts of different reasons.
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are so vital, that it's important for the regulation to be both internal and external-
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technologies that we think can let us share stuff really easily, but-
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why don't you start with that.
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and i think what troubles me-
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we only seem to appreciate the danger, and i'm talking about policymakers.
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can you sign away all of these rights without just because you clicked, even though-
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think about how you do that
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it's also a talk about ethics and digital technology, but i often-
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everyone. i'm ben greene, i'm a fellow here at berkman and a phd student in the computer science department, and i-
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thought it just meant a lot of people doing cool. soc-
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technical field where they're former interested in mathematical and engineering analysis. but with...
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was particularly disturbing for me as i entered the field, was to see the actual dismissal of non-technical voices-
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being an actual scientist. and i had several conversations with faculty members in the department where they told me that the work that i wanted to do that was socially and policy minded-
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wasn't worth doing. and i think that this is an incredibly dangerous and irresponsible perspective for a field like computer science to have-
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because increasingly the tools of computer science are being used to make some of the most important decisions in society today.
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my own research focuses on the use of data science and machine learning algorithms within local governments-
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tools, as in believing them to just be a neutral source for good, without fully understanding the context that they're entering into. and-
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context that they're trying to be applied to an-
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and algorithms that make decisions about people without the researchers behind those algorithms, having fully grappled with the human impacts of their tools.
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computer science are still grappling with the social and political aspects of their-
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students today in particular recognize intuitively and from experience that computer science is far more than a technical field and has...
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implications. so i've had many conversations with undergrads and grad students who are eagerly looking for opportunities to use their technical tools for good-
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i talked to many of those students who are in this room right now and i've created-
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and even two years ago, i couldn't have imagined wrangling a group of maybe more than five to go read a paper that wasn't for a class and sit in a room and talk-
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actually from the students today who really understand the need for a broader perspectives within the field of computer science. so-
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... how computer scientists can work with people across many diverse academic and non-academic perspective to actually ensure we have a more positive future of technology.
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the tech industry today.
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to those contracts, end up producing products that actually cause a lot of harm and building services for government services that don't work for the people.
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the most teams don't think about these problems as deeply and we can learn so much from having groups like this that get together often on product teams across companies to think about how we-
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social data, the kinds of things that we're looking at in both industry and academe.
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we need more than ethical principles or codes.
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muses are goddesses in greek mythology. and my point here isn't to say that we're transcending humanity to become goddesses-
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... years ago. and these functions revealed the context of the time, which we can compare against ours and see what we're missing.
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three gymnasia. so each gymnasia represents one school of philosophy and that kind of gym is totally different from the kind we go to today. back then-
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two thumbs and an index finger, and the user really is two thumbs and an index finger-
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so the 20th century is a century defined by advertising, by mass consumerism, by the rise of pr as an industry, by the commodification of everyday life-
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... body parts, and is certainly not finger gestures, conditioned by devices-
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so, human computer interaction mostly studies this individual interaction between one person and their tool and-
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being together also means that there are many domains of knowledge that are in conversation and as we-
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as humanity makes progress, and as we accumulate knowledge, instead of storing each domain of knowledge in a drawer-
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... understands statistics and coding and things in a practical manner, but we also need to more deep-
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going backwards. okay, there we are-
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and willingness to learn and sort of listen to one another's expertise languages.
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in the foot and now we need to go about figuring out what we're going to do.
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this was clearly an unsafe production ecosystem.
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... need to say. boaz is a founder ceo of boku, a company that has driven open source integration at fortune 500 com-
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... a nonprofit, whose early focus was building open source software to drive media access in the pre-youtube days.
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today, they support individuals, communities, and ecosystems that make the media accessible. throughout the early two thousands, dean and boaz are both-
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... selves. the move from personal computing to the cloud has exasperated the lack of control with more and more processing and data storage happening-
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what we learn is that the disproportionate impacts of technology will always fall on underrepresented communities when we don't actively work to include them.
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... might we actually do this on a more systematic way? how do we improve?
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... inclusive. are the folk in the rooms in programming and coding and computer science and engineering and open source communities.
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so critical race theory holds many tenants.
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valuing that all of us up here are experts because-
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we have lived through-
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... in an american society. it's every day it's as you-
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one, instead of hoping that programmers might want to take critical-
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everything up on there is technical. there ain't one course that talks about people
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okay. there's not one course that talks about people.
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now as i close, i do believe-
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a higher folk, if you're a manager, you can actually have once again, look for folk that actually been trained in critical race theory-
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so with your epa example, there are a lot of companies in the space, and so something like the energy star rating is a signal for consumers where it actually-
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the technical turn to sued the crap out of them.
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both in the industry and in academia, the more technical community seems to sort of fall into a more privileged place in terms of the status it's given in things-
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... fields, whether a professor or a product manager, or something like that, to bring in those outside voices and sort of demonstrate through their practice and their lead-
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do we also need to talk about what is not solved just by putting people in the same room because-
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we haven't even tried that yet.
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... pick. it took me four years to figure out that there were already a lot of academics answering the questions that i was interested in-
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