\u201cArtificial Intelligence\u201d (AI) today centers on the technological affordances of data-centric machine learning. While talk of making AI ethical, democratic, human-centered, and inclusive abounds, it suffers from lack of interdisciplinary collaboration and public understanding.\u00a0<\/i><\/p>\n
At the heart of AI\u2019s social impact is the determinative power of data: the leading technologies derive their \u201cintelligence\u201d from mining huge troves of data (often the product of unconsented surveillance) through opaque and resource-intensive computation.<\/i><\/p>\n
Our Data Ontologies workshop invites you to join a network of cross-disciplinary scholars including leading thinkers on data and its relationship to knowledge, world-building, and the nature of being.\u00a0<\/i><\/p>\n
Please\u00a0join the discussion, or if the time doesn\u2019t work for you, watch the recordings of our workshop meetings and join us on Critical AI\u2019s blog for asynchronous conversations.<\/p>\n
<\/a>* * * * * * * * * * * * * * * * * * * * * * * * * * * * * *<\/p>\n <\/p>\n Meeting 1: MARKET ONTOLOGIES:\u00a0<\/b>a facilitated discussion of recent articles on the possibility of general artificial intelligence through reinforcement learning and the moral effects of market-mediated data analysis. <\/p>\n <\/a>Meeting 2: SUBMARINE ONTOLOGIES\/ONTOLOGIES OF JUDGMENT:\u00a0<\/strong>a facilitated discussion of\u00a0The Promise of Artificial Intelligence: Reckoning and Judgment\u00a0<\/em><\/a><\/a>by\u00a0philosopher and information scientist\u00a0Brian Cantwell Smith.<\/a><\/a> <\/p>\n Meeting 3: THE EVERYTHING IN THE WHOLE WIDE WORLD BENCHMARK:\u00a0<\/b>a talk and discussion with\u00a0Emily M. Bender<\/a>\u00a0(Howard and Frances Nostrand Endowed Professor of Linguistics, U. of Washington) sharing research prepared in collaboration with Inioluwa Deborah Raji, Amandalynne Paullada, Emily Denton, and Alex Hanna. <\/p>\n <\/a>Meeting 4: INDIGENOUS ONTOLOGIES:\u00a0<\/strong>an interview with the creators of an indigenous artworks installation, the\u00a0Tracker Data Project.<\/em>\u00a0Genevieve Bell<\/a><\/a>\u00a0(School of Cybernetics, ANU) interviews\u00a0Adam Goodes<\/a><\/a>,\u00a0Angie Abdilla<\/a><\/a>, and\u00a0Baden Pailthorpe<\/a><\/a> <\/p>\n <\/a>Meeting 5: DATAFIED ONTOLOGIES:\u00a0<\/strong>a facilitated discussion of recent articles on the onto-epistemological dimensions of human data assemblages and the\u00a0 \u201cghost workers\u201d behind the curtain. <\/p>\n <\/a>Meeting 6: THE ONTOLOGICAL LIMITS OF CODE:\u00a0<\/strong>a facilitated discussion of recent publications on algorithmic ethics and the notion of interpretable models. <\/p>\n Meeting 7: ADVENTURES IN SCRAPISM<\/strong>:\u00a0a discussion with\u00a0Tega Brain<\/a>\u00a0and\u00a0Sam Lavigne<\/a>, Brooklyn-based artists\u00a0who create online experiences from massive datasets. Their recent collaborative work explores, in their words, \u201cthe artistic potential of web scraping, the commodification of everything, and the digital traces we leave behind.\u201d <\/p>\n * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *<\/p>\n Meeting 1: STOCHASTIC PARROTS:<\/b>\u00a0a comprehensive discussion of the social and technological dimensions of large language models (LLMS). Meeting 2: DATA JOURNALISM:\u00a0<\/b>a talk and discussion with\u00a0Meredith Broussard<\/a>,\u00a0Research Director at the NYU Alliance for Public Interest Technology and author of the award-winning book,\u00a0Artificial Unintelligence: How Computers Misunderstand the World\u00a0<\/i><\/a>(MIT, 2018). Professor Broussard will be introduced by\u00a0Caitlin Petre<\/a>\u00a0(Journalism and Media Studies, Rutgers). Meeting 3: BIG DATA:\u00a0<\/strong>a workshop discussion about two recent publications of importance to data curation and its discontents. Meeting 4: DATA RELATIONALITIES:\u00a0<\/strong>a talk and discussion with\u00a0Salom\u00e9 Viljoen<\/a>\u00a0(Columbia Law) on her pioneering work on the relationality of data. Professor Viljoen will be introduced by\u00a0Michele Gilman<\/a>\u00a0(Venable Professor of Law, University of Baltimore). Meeting 5: DATA JUSTICE:<\/strong>\u00a0an interview and open discussion with\u00a0Sasha Costanza-Chock<\/a>\u00a0(Director of Research & Design,\u00a0Algorithmic Justice League<\/a>) including\u00a0Kate Henne<\/a>\u00a0(School of Regulation and Global Governance, ANU),\u00a0Sabelo Mhlambi<\/a>\u00a0(Berkman-Klein Center for Internet & Society), and\u00a0Anand Sarwate<\/a>\u00a0(Electrical & Computer Engineering, Rutgers). Meeting 6: IMAGE DATASETS:<\/strong>\u00a0a special event on AI & the Arts with\u00a0Katrina Sluis<\/a>\u00a0(Photography and Media Arts, ANU) and\u00a0Nicolas\u00a0Malev\u00e9<\/a>\u00a0(Visual Artist and Researcher, CSNI). Both will be introduced by\u00a0Baden Pailthorpe<\/a>\u00a0(School of Art & Design, ANU). Save the Date!\u00a0<\/b>Emily M. Bender<\/a>\u00a0will be joining us on March 24, 2022 as our workshop continues on the related theme, Data Ontologies.<\/p>\n SUGGESTED FURTHER READINGS<\/strong><\/p>\n For Meeting 1, 10\/7\/21, STOCHASTIC PARROTS For Meeting 2, 10\/14\/21, DATA JOURNALISM For Meeting 3, 10\/28\/21, BIG DATA For Meeting 4, 11\/11\/21, DATA RELATIONALITIES For Meeting 6, 12\/16\/21, IMAGE DATASETS * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *<\/p>\n <\/p>\n March 26, 2021, 12 pm EST<\/strong><\/p>\n Mimi Onuoha<\/strong>\u00a0is a Nigerian-American artist creating work about a world made to fit the form of data. By foregrounding absence and removal, her multimedia practice uses print, code, installation and video to make sense of the power dynamics that result in disenfranchised communities\u2019 different relationships to systems that are digital, cultural, historical, and ecological. Onuoha has spoken and exhibited internationally and has been in in residence at Studio XX (Canada), Data & Society Research Institute (USA), the Royal College of Art (UK), Eyebeam Center for Arts & Technology (USA), and Arthouse Foundation (Nigeria, upcoming). She lives and works in Brooklyn.<\/p>\n <\/p>\n March 5, 2021, 12 pm EST<\/strong><\/p>\n An interdisciplinary conversation with three leading AI specialists<\/em><\/p>\n \u201cDecolonizing Computing: An Aesthetic and Demonic Energy\u201d<\/p>\n Dwaipayan Banerjee<\/strong>\u00a0is an Associate Professor of Science, Technology, and Society (STS) at MIT. He earned his doctorate in cultural anthropology at NYU and has been a Mellon Postdoctoral Fellow at Dartmouth College. He also holds an M. Phil and an MA in sociology from the Delhi School of Economics. His research is guided by a central theme: how do various kinds of social inequity shape medical, scientific and technological practices? In turn, how do scientific and medical practice ease or sharpen such inequities? In doing so, Banerjee\u2019s ongoing research pushes science and technology studies into the global south. He develops postcolonial and subaltern orientations in the scholarship on science, medicine and technology.<\/p>\n Optional Reading: \u201cThe Aesthetics of Decolonization<\/a>\u201c<\/em><\/p>\n Lily Hu<\/a>, Applied Mathematics and Philosophy, Harvard; Berkman Klein Center for Internet & Society<\/p>\n \u201cWhat is \u2018objective\u2019 and what is \u2018political\u2019 about data and algorithms?\u201d<\/p>\n Debate about whether predictions issued by data-based algorithm systems come out of a process that is \u201cobjective\u201d or \u201cpolitical\u201d set forth a dichotomy between the empirical and the normative that is false. I will focus, instead, on how theoretical, empirical, and political considerations interact in the creation and use of such systems.<\/em><\/p>\n Lily Hu<\/strong>\u00a0is a PhD candidate in Applied Mathematics and Philosophy at Harvard University. She works in philosophy of (social) science and political and social philosophy. Her current project is on causal inference methodology in the social sciences and focuses on how various statistical frameworks treat and measure the \u201ccausal effect\u201d of social categories such as race, and ultimately, how such methods are seen to back normative claims about racial discrimination and inequalities broadly. Previously, she has worked on topics in machine learning theory and algorithmic fairness.<\/p>\n Optional Reading:\u00a0\u201cWhat is \u2018Race\u2019 in Algorithmic Discrimination on the Basis of Race?<\/a>\u201c<\/em><\/p>\n \u201cNew Paradigms of Justice: How Knowledge Curators can Respond to the Information Crisis\u201d<\/p>\n Data discrimination is a real social problem, exacerbated by the monopoly status and private interests of a small number of internet companies. This talk offers provocations for imagining and creating new paradigms of justice in the technology sector, helmed by information professionals like librarians, museum curators and knowledge managers.<\/em><\/p>\n Safiya Noble<\/strong>\u00a0is an Associate Professor at UCLA in the Departments of Information Studies and African American Studies. She is the author of a best-selling book on racist and sexist algorithmic bias in commercial search engines, entitled Algorithms of Oppression: How Search Engines Reinforce Racism (NYU Press). Dr. Noble is the co-editor of two edited volumes: The Intersectional Internet: Race, Sex, Culture and Class Online and Emotions, Technology & Design. She currently serves as an Associate Editor for the Journal of Critical Library and Information Studies, and is the co-editor of the Commentary & Criticism section of the Journal of Feminist Media Studies. She is a member of several academic journal and advisory boards, including Taboo: The Journal of Culture and Education.<\/p>\n Optional Reading: \u201cSearching for People and Communities<\/a><\/strong>\u201c<\/em><\/p>\n <\/p>\n February 26, 2021, 12 pm EST<\/strong><\/p>\n Sabelo Mhlambi<\/a>\u00a0<\/strong>in a Keynote Conversation with\u00a0Alex Guerrero<\/strong>\u00a0(Philosophy, Rutgers)<\/a>\u00a0and\u00a0Matthew Stone<\/strong>\u00a0(Computer Science, Rutgers)<\/a><\/p>\n Sabelo Mhlambi<\/strong>\u00a0is a computer scientist and researcher whose work focuses on the ethical implications of technology in the developing world, particularly in Sub-Saharan Africa, along with the creation of tools to make Artificial Intelligence more accessible and inclusive to underrepresented communities. His research centers on examining the risks and opportunities of AI in the developing world, and in the use of indigenous ethical models as a framework for creating a more humane and equitable internet. His current technical projects include the creation of Natural Language Processing models for African languages, alternative design of web-platforms for decentralizing data and an open-source library for offline networks.<\/p>\n Optional Reading: \u201cFrom Rationality to Relationality: Ubuntu as an Ethical and Human Rights Framework for Artificial Intelligence Governance<\/a>\u201d<\/em><\/p>\n <\/p>\n February 19, 2021, 11 am EST<\/strong><\/p>\n An interdisciplinary conversation with three leading AI specialists<\/em><\/p>\n \u201cPoverty Lawgorithms: The Economic Injustices of Automated Decision-Making\u201d<\/p>\n As a result of automated decision-making systems, low-income people can find themselves excluded from mainstream opportunities, such as jobs, education, and housing; targeted for predatory services and products; and surveilled by systems in their neighborhoods, workplaces, and schools. These dynamics impede people\u2019s economic security and potential for social mobility, and yet the law provides scant recourse. Thus, we must consider how to challenge opaque and unfair algorithmic systems as part of an economic justice agenda.<\/em><\/p>\n Michele Gilman<\/strong>\u00a0is the Venable Professor of Law at the University of Baltimore School of Law. Professor Gilman teaches in the Civil Advocacy Clinic, where she supervises students representing low-income individuals in a wide range of litigation and law reform matters. She also teaches evidence and federal administrative law. Professor Gilman writes extensively about privacy, poverty, and social welfare issues, and her articles have appeared in journals including the\u00a0California Law Review<\/em>, the\u00a0Vanderbilt Law Review<\/em>, and the\u00a0Washington University Law Review<\/em>. In 2019-2020, she was a Faculty Fellow at Data & Society, where she researched the intersection of privacy law, data-centric technologies, and low-income communities.<\/p>\n Optional Reading: \u201cPoverty Lawgorithms<\/a>\u201c<\/em><\/p>\n <\/p>\n \u201cMisdirected Dreams? Trusting in AI: the hopes, the needs, and the challenges.\u201d<\/p>\n Technology is edging ever closer to interfacing with the human or even brazenly replacing the human function. As we seek dreams of automation through artificial intelligence, the question centers on whether we are engaged in a process of deep techno-utopian distraction, or we are in fact on the right path to addressing our critical global needs. What are the challenges? How will we ensure a sustainable future?<\/i><\/p>\n Katina Michael<\/strong>\u00a0is a professor at Arizona State University, holding a joint appointment in the School for the Future of Innovation in Society and School of Computing, Informatics and Decisions Systems Engineering. She is also the director of the Society Policy Engineering Collective (SPEC) and the Founding Editor-in-Chief of the IEEE Transactions on Technology and Society. Katina is a senior member of the IEEE and a Public Interest Technology advocate who studies the social implications of technology.<\/p>\n Optional Reading:\u00a0\u201cBig Data: New Opportunities and New Challenges\u201d<\/a><\/em><\/p>\n <\/p>\n <\/p>\nFebruary \u2013 May 2021\u00a0Data Ontologies\u00a0<\/em>Events + March 4 Book Event:<\/h3>\n
\nTh Feb. 10, 5:30 PM EST (Feb. 11, 9:30 AM AEDT)<\/b>
\nCo-facilitators:\u00a0Lauren M. E. Goodlad<\/a>\u00a0(English\/Critical AI, Rutgers) and\u00a0Caroline E. Schuster<\/a>\u00a0(Anthropology\/Centre for Latin American Studies, ANU).
\nPrimary Readings: Silver, Singh et al. \u201cReward is Enough<\/a>\u201d &\u00a0 Fourcade and Healy, \u201cSeeing Like a Market<\/a>\u201d<\/b>
\nCheck out the\u00a0video<\/a>\u00a0and\u00a0Lee Vinsel\u2019s<\/a>\u00a0blog<\/a>\u00a0of this event!
\nSPECIAL BOOK EVENT<\/b>:\u00a0Speculative Communities: Living with Uncertainty in a Financialized World<\/a>:\u00a0<\/em><\/strong>a book talk\u00a0with
\nAris Komporozos-Athanasiou\u00a0<\/a>(Sociology, University College London)
\nFri. March 4, 12:00PM EST<\/b>
\nModerator\/Introducer:\u00a0Jamie Pietruska<\/a>\u00a0(History, Rutgers)
\nRespondent:\u00a0Justin Joque<\/a>\u00a0(Visualization Librarian, U. Michigan)
\nPrimary Reading: Komporozos-Athanasiou,\u00a0\u201cIntroduction\u201d<\/a>\u00a0to\u00a0Speculative Communities<\/i>
\nOptional Readings: Komporozos-Athanasiou,\u00a0\u201cSpeculating on Chaos in Financialized Capitalism\u201d\u00a0<\/a>&\u00a0\u201cWinning in the Real Fake\u201d<\/a>
\nCheck out the\u00a0video<\/a>\u00a0and\u00a0Jamie Pietruska\u2019s<\/a>\u00a0blog\u00a0<\/a>of this event!<\/p>\n
\nTh March 10, 5:30PM EST (March 11, 9:30AM AEDT)<\/strong>
\nCo-facilitators:\u00a0Katherine Bode<\/a><\/a>\u00a0(Data-Rich Literary History, ANU),\u00a0Christopher Newfield<\/a><\/a>\u00a0(Director of Research, ISRF), and\u00a0Mark S.D. Sammons<\/a><\/a>, PhD (NLP Researcher and former Research Assistant Professor, University of Illinois, Urbana)
\nPrimary Readings: \u201cIntroduction<\/a><\/a>\u201d and Chapters\u00a03<\/a><\/a>,\u00a05<\/a><\/a>,\u00a06<\/a><\/a>,\u00a09<\/a><\/a>,\u00a010<\/a><\/a>, and\u00a013<\/a><\/a>\u00a0from Smith\u2019s\u00a0The Promise of Artificial Intelligence: Reckoning and Judgment<\/em>
\nCheck out the\u00a0video<\/a>\u00a0and\u00a0Christopher Newfield\u2019s review of Cantwell Smith\u2019s\u00a0The Promise of Artificial Intelligence.<\/em><\/a><\/p>\n
\nTh March 24, 5:30PM EST (March 25, 8:30AM AEDT)<\/b>
\nModerator\/Introducer:\u00a0Matthew Stone<\/a>\u00a0(Computer Science, Rutgers)
\nPrimary Readings: Raji, Bender, Paullada, Denton, and Hanna \u201cAI and the\u00a0<\/a>Everything in the Whole Wide World Benchmark<\/a>\u201d
\nOptional Reading: Paullada, Raji, Bender, Denton, and Hanna \u201cData and its (Dis)contents: A Survey of Dataset Development and Use in Machine Learning Research<\/a>\u201c
\nCheck out the\u00a0video<\/a>\u00a0and\u00a0Meredith Martin<\/a>\u2018s\u00a0blog<\/a>\u00a0for this event!<\/p>\n
\nTh April 21, 5:30PM EDT (April 22, 7:30AM AEST)<\/strong>
\nPanel: Adam Goodes (Go Foundation), Angie Abdilla (Art, Architecture, and Design, UNSW), Baden Pailthorpe (School of Art & Design, ANU)
\nView in Advance:\u00a0Tracker Data Project Teaser Video<\/a><\/a>
\nOptional Readings: Goodes, Abdilla, and Palithorpe \u201cNgapulara Ngarngarnyi Wirra (Our Family Tree)<\/a><\/a>\u201d & Powles and Walsh \u201cHas the Monitoring of Professional Athletes\u2019 Intimate Information Gone too Far?<\/a><\/a>\u201d
\nCheck out the\u00a0video<\/a>\u00a0and\u00a0Kirsty Anantharajah<\/a><\/a>\u2019s\u00a0blog<\/a>\u00a0for this event!<\/p>\n
\nTh April 28, 5:30PM EDT (April 29, 7:30AM AEST)<\/strong>
\nCo-facilitators:\u00a0Gavin J.D. Smith<\/a><\/a>\u00a0(Sociology, ANU) and\u00a0Lori Moon<\/a><\/a>\u00a0(PhD. and NLP Researcher, Elemental Cognition, NYC)
\nPrimary Readings: Lupton,\u00a0\u201cHow do Data Come To Matter?Living and Becoming with Personal Data\u201d<\/a><\/a>\u00a0and\u00a0\u201cIntroduction\u201d<\/a><\/a>,\u00a0Ch. 1<\/a><\/a>\u00a0and\u00a0Ch. 3<\/a><\/a>\u00a0from Gray and Suri\u2019s\u00a0Ghost Work: How to Stop Silicon Valley from Building a New Global Underclass<\/em>
\nCheck out the\u00a0video<\/a><\/a>\u00a0and\u00a0Serap Firat\u2019s<\/a>\u00a0blog<\/a>\u00a0for this event!<\/p>\n
\nTh. May 5, 5:30PM EDT (May 6, 7:30AM AEST)<\/strong>
\nCo-facilitators:\u00a0Paola Ricaurte Quijano<\/a><\/a>\u00a0(Media & Digital Culture,\u00a0Tecnol\u00f3gico de Monterrey) and\u00a0Sean Silver<\/a><\/a>\u00a0(English, Rutgers)
\nPrimary Readings:\u00a0Ch. 2<\/a><\/a>\u00a0from Amoore\u2019s\u00a0Cloud Ethics: Algorithms and the Attributes of Ourselves and Others\u00a0<\/em>and\u00a0Lipton\u2019s\u00a0\u201cThe Mythos of Model Interpretability<\/a>\u201c
\nOptional Readings: \u201cIntroduction<\/a><\/a>\u201d and\u00a0Ch. 4<\/a><\/a>\u00a0from\u00a0Cloud Ethics\u00a0<\/em>
\nSuggested Further Reading: Mackenzie & Munster,\u00a0\u201cPlatform Seeing: Image Ensembles and Their Invisualities\u201d<\/a><\/a>
\nCheck out the\u00a0video<\/a>\u00a0and\u00a0Mark Aakhus<\/a><\/a>\u2019s\u00a0blog<\/a>\u00a0for this event!<\/a><\/p>\n
\nTh. May 12, 5:30PM EDT (May 13, 7:30am AEST)<\/strong>
\nGuest Speakers:\u00a0Sam Lavigne<\/a>\u00a0(Design, UT Austin) and\u00a0Tega Brain<\/a>\u00a0(Technology, Culture, & Society, NYU)
\nModerator:\u00a0Atif Akin<\/a>\u00a0(Art & Design, Rutgers)
\nRegister here for the discussion at 5:30PM EST.<\/a>
\nRegister here for the workshop discussion to follow.\u00a0<\/a>
\nCheck out the\u00a0video<\/a>\u00a0and\u00a0Atif Akin\u2019s blog<\/a>\u00a0for this event!<\/p>\nOctober \u2013 December 2021\u00a0Ethics of Data Curation<\/em>\u00a0Events:<\/h3>\n
\nTh Oct. 7, 5:30 PM EST (Oct. 8, 8:30 AM AEDT)
\n<\/b>Co-facilitators:\u00a0Katherine Bode\u00a0<\/a>(Data-Rich Literary History, ANU) and\u00a0Matthew Stone<\/a>\u00a0(Computer Science, Rutgers)
\nPrimary Reading: Emily M. Bender, Timnit Gebru et al.\u00a0\u201cOn the Dangers of Stochastic Parrots: Can Language Models Be Too Big?<\/a>\ud83e\udd9c\u201d<\/a>
\nCheck out the\u00a0video<\/a>\u00a0and Lauren Goodlad\u2019s\u00a0blog<\/a>\u00a0of this event!<\/p>\n
\nTh Oct. 14, 5:30 PM EST (Oct. 15, 8:30 AM AEDT)
\n<\/b>Readings:\u00a0Chapter 4<\/a>\u00a0and\u00a0Chapter 6<\/a>\u00a0of\u00a0Artificial Unintelligence: How Computers Misunderstand the World<\/em>\u00a0(MIT, 2018).
\nCheck out the\u00a0video<\/a>\u00a0and Rutgers Undergraduate Nidhi Salian\u2019s\u00a0blog<\/a>\u00a0of this event!<\/p>\n
\n<\/strong>Th Oct. 28, 5:30 PM EST (Oct. 29, 8:30 AM AEDT)
\n<\/strong>Co-facilitators:\u00a0Ella Barclay<\/a>\u00a0(Design and Digital Media, ANU) and\u00a0Britt Paris<\/a>\u00a0(Critical Informatics, Rutgers)
\nPrimary Readings:\u00a0Chapter 2<\/a>\u00a0of\u00a0Catherine D\u2019Ignazio<\/a>\u00a0and\u00a0Lauren Klein\u2019s<\/a>\u00a0Data Feminism<\/em>\u00a0and Emily Denton, Alex Hanna, et al.\u2019s\u00a0\u201cOn the Genealogy of Machine Learning Datasets.\u201d<\/a>
\nCheck out the\u00a0video<\/a>\u00a0and\u00a0Ryan Heuser\u2019s<\/a>\u00a0blog<\/a>\u00a0of this event!<\/p>\n
\n<\/strong>Th Nov. 11, 5:30 PM EST (Nov. 12, 9:30 AM AEDT)<\/strong>
\nPrimary Readings:\u00a0\u201cData as Property?\u201d<\/a>\u00a0(2020)
\nCheck out the\u00a0video<\/a>\u00a0and Kayvon Paul\u2019s\u00a0blog<\/a>\u00a0of this event!<\/p>\n
\nTh Dec. 2, 5:30 PM EST (Dec. 3, 9:30 AM AEDT)
\n<\/strong>Primary Readings: From\u00a0Design Justice: Community-Led Practices to Build the Worlds We Need<\/i><\/a>\u00a0(2020):\u00a0Introduction: \u201c#TravelingWhileTrans, Design Justice, and Escape from the Matrix of Domination\u201d<\/a>
\nand\u00a0Ch.2 \u201cDesign Practices: Nothing About Us Without Us\u201d<\/a>
\n<\/strong>Check out the\u00a0video<\/a>\u00a0and\u00a0Jonathan Calzada\u2019s<\/a>\u00a0blog<\/a>\u00a0of this event!<\/p>\n
\nTh Dec. 16, 5:30 PM EST (Dec. 17, 9:30 AM AEDT)
\n<\/strong>Primary Readings: Katrina Sluis\u2019s\u00a0Photography must be Curated! Part 4: Survival of the Fittest Image<\/a>\u00a0<\/em>(2019) and Nicolas Malev\u00e9\u2019s\u00a0On the Dataset\u2019s Ruins<\/a><\/em>\u00a0(2020).
\n<\/strong>Check out the\u00a0video<\/a>\u00a0and ANU graduate Madeleine Hepner\u2019s\u00a0blog<\/a>\u00a0of this event!<\/p>\n
\n<\/strong>Thompson, Greenewald, Lee, Manso:\u00a0\u201cDeep Learning\u2019s Diminishing Returns\u201d<\/a>\u00a0(2021)
\nDodge, Sap, Marasovi\u0107, et al.:\u00a0\u201cDocumenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus\u201d<\/a>\u00a0(2021)
\nAbid, Farooqi, and Zou:\u00a0\u201cPersistent Anti-Muslim Bias in Large Language Models\u201d<\/a>\u00a0(2021)
\nMyers:\u00a0\u201cRooting Out Anti-Muslim Bias in Popular Language Model GTP-3\u201d<\/a>\u00a0(2021)
\nWelble, Glaese, and Uesato:\u00a0\u201cChallenges in Detoxifying Language Models\u201d<\/a>\u00a0(2021)
\n(Watch)\u00a0Emily M. Bender\u2019s keynote at the Alan Turing Institute<\/a>\u00a0(2021)<\/p>\n
\n<\/strong>Chapters 1-3<\/a>\u00a0of\u00a0Artificial Unintelligence: How Computers Misunderstand the World<\/em>\u00a0(MIT, 2018).<\/p>\n
\n<\/strong>Chapter 1<\/a>\u00a0of\u00a0Catherine D\u2019Ignazio<\/a>\u00a0and\u00a0Lauren Klein\u2019s<\/a>\u00a0Data Feminism<\/em><\/p>\n
\n<\/strong>Viljoen:\u00a0\u201cDemocratic Data: A Relational Theory of Data Governance\u201d<\/a>\u00a0(2020)
\n(Watch)\u00a0Tech Conversation Series\u2014Democratic data: privacy harms and data governance<\/a>\u00a0(2021)<\/p>\n
\n<\/strong>Fei-Fei Li:\u00a0Where Did ImageNet Come From?<\/a>\u00a0An invited talk given to the public on the 10th<\/sup>\u00a0Anniversary of the Dataset at The Photographers\u2019 Gallery, London (2019)
\nFei-Fei Li:\u00a0Large-scale Image Classification: ImageNet and ObjectBank<\/a>, a Google Tech talk given to computer scientists (2011)
\nExhibiting Imagenet at The Photographers\u2019 Gallery<\/a>\u00a0(2019), includes a link to a 12 hr YouTube feed of ImageNet organised by synset
\nCommissioned texts<\/a>\u00a0by artists and writers relating to Data\/Set\/Match programme at The Photographers\u2019 Gallery (2019-2020) at Unthinking Photography<\/p>\nFebruary \u2013 March 2021 Events:<\/h3>\n
A Conversation with Artist Mimi Onuoha<\/strong><\/h5>\n
\n
\n
![\"codedmatters4.jpg\"](\"https:\/\/images.squarespace-cdn.com\/content\/v1\/5147c437e4b096a97cf3defd\/1598539063742-YS3GGOPX3WM7AOE6CTX0\/ke17ZwdGBToddI8pDm48kLkXF2pIyv_F2eUT9F60jBl7gQa3H78H3Y0txjaiv_0fDoOvxcdMmMKkDsyUqMSsMWxHk725yiiHCCLfrh8O1z4YTzHvnKhyp6Da-NYroOW3ZGjoBKy3azqku80C789l0iyqMbMesKd95J-X4EagrgU9L3Sa3U8cogeb0tjXbfawd0urKshkc5MgdBeJmALQKw\/codedmatters4.jpg?format=750w\")
<\/a><\/dt>\nThinkpiece Panel II<\/strong><\/h5>\n
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![](\"https:\/\/lh3.googleusercontent.com\/SC-zwMCLFjKQovcPIiet7TsAoCXBMDLMNYrknx79Ym1OVwyv1EdpmzHOgQ4-1pvMeK7kp5tlAAerFgQ-Jmo-khduYwqr8yAn9ymrckjqDIHYQYjEDdCESTuTdrnMwM3bqPi0it9p\")
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![\"Lily](\"https:\/\/ruccs.rutgers.edu\/images\/LH_photo.jpg\")
<\/dt>\n<\/dl>\n\n
![](\"https:\/\/lh6.googleusercontent.com\/eD0wxVVTnHgsi7NUulzwjj4NeUXC5aKGHlw8nsAcTy3RVr5iXhtSErOkxmPnEs9NwL4bsNq0AzI6AMBLvAv8ULZMrnJBPjF7tukPwwY0PyCx1Rbl9KI0K-y9Uk3Li0ci4ITdhgUs\")
Keynote Interview on AI Ethics and Global Contexts with Sabelo Mhlambi<\/strong><\/h5>\n
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![](\"https:\/\/lh6.googleusercontent.com\/dn2iiZHnPN4ey13iZZPOU76Wdf9qRArcK7182fHU9-GAb9_QByxAhOfcRcIagCuFD-DXkDa_UNCE2TiMR1M0iwU23EfoS2LxTFKQQmEcT5GFGJh5SQw6oUMIpVK49NcCyrdhnhBB\")
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Thinkpiece Panel I<\/strong><\/h5>\n
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![](\"https:\/\/lh3.googleusercontent.com\/4yspxOLq7eHC6Emuyf9Yg0ga_UKVuH7QnYvzP4K6K4k7ZWdNKC8B86k8UitX6LpzpT16HW4XPaBD-2Mz53jz-u0na2zDcL7dsMH0MxSwPXHA75Hjx-LwERDeH5CoFrxCGqmtaMa4\")
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![](\"https:\/\/lh6.googleusercontent.com\/3iOcLAFk6OPJ6LYrtzMm25L3nyEWBTk_0If1jA9ywRaUFSDZcSXCGcTv5v2zineCB_gwQXtcMmPmRKNRgL2PZHtkOn8mF5JuZgyrctvCzflAfDtoFvlGrI2tLsFXysoYVo1k-cZ_\")
![](\"https:\/\/lh6.googleusercontent.com\/pmJYB_UV6vrm4unSL6qPBIjIcO5Jcsnne1UUTpkrJyiCmuCDW5XMMUJniP8y4gXx1zeR4jxrwsJWfe0S6KACUnAQZCi3gXrG66F0KzG7PxqFpPn9m6YNTUrwuy2RC7SiVB1WOfl3\")