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The Innovators & Investors Podcast


1 BMW iVentures: AI, Robotics, and Onshoring Trends with Sam Huang 35:36
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In the latest episode of The Innovators & Investors Podcast, host Kristian Marquez sits down with Sam Huang, Principal at BMW iVentures, for a candid conversation to explore the dynamic intersection of venture capital, artificial intelligence, robotics, and manufacturing innovation. Sam shares BMW iVentures’ investment thesis, focusing on Series A and B startups across the US, Europe, and Israel, with a strong emphasis on AI-driven SaaS, automation, and onshoring trends driven by labor shortages and supply chain disruptions. Listeners gain valuable perspectives on the evolving venture diligence process, the importance of product-market fit, and how higher ARR benchmarks reflect both market maturity and macroeconomic factors like rising interest rates. Sam also candidly discusses his unconventional career path—from a Stanford history PhD program to law school and ultimately venture capital—highlighting how diverse experiences enhance investment acumen. The conversation delves into the benefits of corporate venture capital, especially BMW’s hands-on support and networking advantages for portfolio companies. Additionally, Sam reveals how AI is integrated internally at BMW iVentures to optimize workflow and decision-making. This episode is a must-listen for anyone interested in the future of innovation, investment strategy, and the transformative impact of AI and robotics on global industries. Learn more about Sam's work at https://www.bmwiventures.com/ and her involvement with the Asian Tech Collective at https://www.asiantechcollective.com/ Connect with Sam on LinkedIn at https://www.linkedin.com/in/samantha-huang-10375b106/ Think you'd be a great guest on the show? Apply at https://finstratmgmt.com/innovators-investors-podcast/ Want to learn more about Kristian Marquez's work? Check out his website at https://finstratmgmt.com…
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Konten disediakan oleh Data & Society. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Data & Society atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.
Presenting timely conversations about the purpose and power of technology that bridge our interdisciplinary research with broader public conversations about the societal implications of data and automation. For more information, visit datasociety.net.
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Konten disediakan oleh Data & Society. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Data & Society atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.
Presenting timely conversations about the purpose and power of technology that bridge our interdisciplinary research with broader public conversations about the societal implications of data and automation. For more information, visit datasociety.net.
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1 Challenging AI Hype and Tech Industry Power | Book Talk 1:00:10
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Visit datasociety.net for to learn more about this Book Talk 's speakers, access resources and referenced materials, and to purchase copies of The AI Con and Empire of AI . Purchase copies of these books from our Bookshop : The AI Con: How to Fight Big Tech’s Hype and Create the Future We Want by Emily M. Bender and Alex Hanna Empire of AI: Dreams and Nightmares in Sam Altman’s OpenAI by Karen Hao…

1 What is Work Worth? Exploring What Generative AI Means for Workers’ Lives and Labor | Keynote Event 1:00:18
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Recorded on May 6, 2025 at The Greene Space in NYC Featuring Dr. Julián Posada and Aiha Nguyen Resources and recordings are available here: https://datasociety.net/events/what-is-work-worth/

1 [Live] The Cloud is Dead: Living with Legacies of Resource Extraction 59:36
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Books Death Glitch: How Techno-Solutionism Fails Us in This Life and Beyond (Tamara Kneese) The Pacific Circuit: A Globalized Account of the Battle for the Soul of an American City (Alexis Madrigal) Blockchain Chicken Farm: And Other Stories of Tech in China's Countryside (Xiaowei Wang)

1 Resisting Predatory Data | Book Talk 1:02:41
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At the turn of the 20th century, the anti-immigration and eugenics movements used data about marginalized people to fuel racial divisions and political violence under the guise of streamlining society toward the future. Today, as the tech industry champions itself as a global leader of progress and innovation, we are falling into the same trap. On April 10th, Anita Say Chan, author of Predatory Data: Eugenics in Big Tech and Our Fight for an Independent Future (UCP 2025 and open access), joined Émile P. Torres and Timnit Gebru for a discussion of the 21st century eugenics revival in big tech and how to resist it in a conversation moderated by Trustworthy Infrastructures Program Director Maia Woluchem. Predatory Data is the first book to draw this direct line between the datafication and prediction techniques of past eugenicists and today’s often violent and extractive “big data” regimes. Torres and Gebru have also extensively studied the second wave of eugenics, identifying a suite of tech-utopian ideologies they call the TESCREAL bundle . Purchase your own copy of Anita Say Chan’s book Predatory Data: Eugenics in Big Tech and Our Fight for an Independent Future : https://bookshop.org/a/14284/9780520402843 . Learn more about the event at datasociety.net ( https://datasociety.net/events/resisting-predatory-data/ ).…

1 AI Assistant or AI Boss? w/ Data & Society 43:00
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Two years ago, we were told that ‘prompt engineer’ would be a real job — well, it’s not. Is generative AI actually going to replace and transform human labour, or is this just another shallow marketing narrative? In this episode of Computer Says Maybe , host Alix Dunn speaks with Data & Society researchers Aiha Nguyen and Alexandra Mateescu, authors of the primer Generative AI and Labor: Power, Hype, and Value at Work . They discuss how automation is now being used as a threat against workers, and how certain types of labor are being devalued by AI — especially traditionally feminized work like caregiving. Further reading: Generative AI and Labor: Power, Hype, and Value at Work by Aiha Nguyen and Alexandra Mateescu Blood in the Machine by Brain Merchant Aiha Nguyen is the Program Director for the Labor Futures Initiative at Data & Society where she guides research and engagement. She brings a practitioner's perspective to this role having worked for over a decade in community and worker advocacy and organizing. Her research interests lie at the intersection of labor, technology, and urban studies. She is author of The Constant Boss: Work Under Digital Surveillance and co-author of ‘At the Digital Doorstep: How Customers Use Doorbell Cameras to Manage Delivery Workers’, and ‘Generative AI and Labor: Power, Hype and Value at Work’. Alexandra Mateescu is a researcher on the Labor Futures team at the Data & Society Research Institute, where she investigates the impacts of digital surveillance, AI, and algorithmic power within the workplace. As an ethnographer, her past work has led her to explore the role of worker data and its commodification, the intersections of care labor and digital platforms, automation within service industries, and generative AI in creative industries. She is also a 2024-2025 Fellow at the Siegel Family Endowment. Subscribe to our newsletter to get more stuff than just a podcast — we run events and do other work that you will definitely be interested in!…

1 Connective (t)Issues: Stories of Digitality, Infrastructures, and Resistance | Public Panel 1:02:06
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Physical and digital infrastructures have raised tensions around the world, seeding land disputes, climate effects, and disrupting social fabrics. Yet they are also intertwined with myths of progress, transformation, and speculation. To explore these themes, we were joined by Nia Johnson, Ekene Ijeoma, and Lori Regattieri — academics, practitioners, and artists who are each, in their own way, responding to the ways digital infrastructures are transforming the built, natural, and social environments. In a conversation moderated by Trustworthy Infrastructures Program Director Maia Woluchem, we broke down confrontations between technological infrastructures and local communities and discussed how to reshape narratives of process, power, change, and futurity. This public panel is part of Connective (t)Issues, a Data & Society workshop organized by the Trustworthy Infrastructures program in partnership with Duke Science & Society. Learn more about the workshop at datasociety.net . https://datasociety.net/announcements/2024/11/20/connective-tissues/…

1 [Databite No. 161] Red Teaming Generative AI Harm 1:00:09
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What exactly is generative AI (genAI) red-teaming? What strategies and standards should guide its implementation? And how can it protect the public interest? In this conversation, Lama Ahmad, Camille François, Tarleton Gillespie, Briana Vecchione, and Borhane Blili-Hamelin examined red-teaming’s place in the evolving landscape of genAI evaluation and governance. Our discussion drew on a new report by Data & Society (D&S) and AI Risk and Vulnerability Alliance (ARVA), a nonprofit that aims to empower communities to recognize, diagnose, and manage harmful flaws in AI. The report, Red-Teaming in the Public Interest, investigates how red-teaming methods are being adapted to confront uncertainty about flaws in systems and to encourage public engagement with the evaluation and oversight of genAI systems. Red-teaming offers a flexible approach to uncovering a wide range of problems with genAI models. It also offers new opportunities for incorporating diverse communities into AI governance practices. Ultimately, we hope this report and discussion present a vision of red-teaming as an area of public interest sociotechnical experimentation. Download the report and learn more about the speakers and references at datasociety.net. -- 00:00 Opening 00:12 Welcome and Framing 04:48 Panel Introductions 09:34 Discussion Overview 10:23 Lama Ahmad on The Value of Human Red-Teaming 17:37 Tarleton Gillespie on Labor and Content Moderation Antecedents 25:03 Briana Vecchione on Participation & Accountability 28:25 Camille François on Global Policy and Open-source Infrastructure 35:09 Questions and Answers 56:39 Final Takeaways…
Do you ever wonder how semiconductors (AKA chips) — the things that make up the fine tapestry of modern life — get made? And why does so much chip production bottleneck in Taiwan? Luckily, this is a podcast for nerds like you. Alix was joined this week by Brian Chen from Data & Society, who systematically explains the process of advanced chip manufacture, how its thoroughly entangled in US economic policy, and how Taiwan’s place as the main artery for chips is the product of deep colonial infrastructures. Brian J. Chen is the policy director of Data & Society, leading the organization’s work to shape tech policy. With a background in movement lawyering and legislative and regulatory advocacy, he has worked extensively on issues of economic justice, political economy, and tech governance. Previously, Brian led campaigns to strengthen the labor and employment rights of digital platform workers and other workers in precarious industries. Before that, he led programs to promote democratic accountability in policing, including community oversight over the adoption and use of police technologies. ** Subscribe to our newsletter to get more stuff than just a podcast — we run events and do other work that you will definitely be interested in!**…

1 Living in the Shadow of AI and Data (Code Dependent by Madhumita Murgia) | Network Book Forum 1:02:08
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On November 14, in a conversation moderated by Data & Society Senior Researcher Ranjit Singh, Madhumita Murgia and Armin Samii discussed Murgia’s new book, Code Dependent: Living in the Shadow of AI . Together, they explored living with data by describing their journeys into understanding it, reporting on it, and resisting it. While Murgia’s journalistic journey began with tracing the flow of her personal data sold by data brokers, Samii used his expertise as a computer scientist to build UberCheats, an algorithm auditing tool that extracts GPS coordinates from UberEats receipts to calculate the difference between the actual miles a courier traveled and those Uber claimed they did. In Code Dependent , Samii’s story is the focus of a chapter on how data-driven systems come to play the role of the boss. Purchase a copy of Code Dependent: https://bookshop.org/a/14284/9781250867391 Learn more at datasociety.net ( https://datasociety.net )…

1 Data & Society at 10: Foreseeable Futures 1:28:51
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When Data & Society was founded ten years ago, it was rooted in the insight that data-centric technologies have broad and often unseen impacts on society — and that to better understand those impacts and realize technologies that reflect our highest values, we need interdisciplinary, empirical research. Today, the urgency of that vision is palpable: How societies choose to design and govern technology will determine our collective future. On September 26, we celebrated our first decade with our incredible network of alumni, friends, and supporters. Along with reflections from Data & Society Executive Director Janet Haven, Board President Charlton McIlwain, and Founder danah boyd, the program included a panel discussion and lightning talks. 00:00 Opening 00:10 Welcome | Charlton McIlwain, Board President 08:23 Creating a Field | danah boyd, Founder 19:37 Lightning Talk: Xiaowei R. Wang 27:02 Lightning Talk: Ranjit Singh 33:09 Lightning Talk: Zara Rahman 38:42 Lightning Talk: Michelle Miller 46:00 Acting on What We Know | Alondra Nelson, John Palfrey, Felicia Wong (moderator: Suresh Venkatasubramanian) 1:13:47 Creating Our Future | Janet Haven, Executive Director 1:25:42 Closing | Charlton McIlwain, Board President…

1 [Databite 160] Black Maternal Health is in Crisis. Can Technology Help? 58:43
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In the United States, Black maternal health is in steep decline. Despite increased awareness and better data about the depths of racial health disparities, outcomes for Black birthing people remain poor. At the same time, a revolution in healthcare technologies is underway, and as they provide care at the frontlines of a crisis, birth workers are figuring out how to make digital health technologies work for them and their patients. In " Establishing Vigilant Care: Data Infrastructures and the Black Birthing Experience ," Joan Mukogosi explores how digital health technologies can produce new forms of harm for Black birthing people — by exposing Black patients to carceral systems, creating information silos that impede interoperability, and failing to meet privacy standards. By paying close attention to how clinical contexts and their associated digital technologies impact how care is delivered, this research offers a glimpse into possibilities for improved cohesion between digital health technologies and birth work. Learn more about Data & Society at datasociety.net .…

1 [Podcast] The Formalization of Social Precarities 1:21:13
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The Formalization of Social Precarities podcast explores platformization from the point of view of precarious gig workers in the Majority World. This conversation was moderated by Aiha Nguyen and Murali Shanmugavelan featuring the voices of Ambika Tandon, Ludmilla Costhek Abílio, and Ananya Raihan. You will also be hearing the experience of two platform workers interviewed for this project: Fatema Begum from Bangladesh and Nicolas Sauza from Brazil. Their voices are narrated in English by Data & Society staff members Iretiolu Akinrinade and Rigoberto Lara Guzmán, respectively. This podcast was edited by Sam Grant.…

1 [Databite 159] Doing the Work: Therapeutic Labor, Teletherapy, and the Platformization of Mental Health Care 1:00:52
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Data & Society’s report, Doing the Work: Therapeutic Labor, Teletherapy, and the Platformization of Mental Health Care, written by Livia Garofalo, explores how these new arrangements of therapeutic labor are affecting how therapists provide care and make a living in the US. By focusing on the experiences of providers who practice teletherapy and work for digital platforms, our research examines the fundamental tensions that emerge when a profession rooted in clinical expertise, licensing, and training standards meets the dynamics of platformization, productivity incentives, and algorithmic management. In this conversation, we reflected on how technology is changing the conditions of how therapists do their work, on the consequences for the present and future of therapeutic labor, and on how this might be changing our understanding of therapy itself.…

1 [Databite 158] Adaptation | Generative AI's Labor Impacts 59:19
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Generative AI has seeped into many corners of our lives, and threatens to upend the economy as we know it, from education to the film industry. How do workers’ encounters with it differ from their experiences with other systems of automation? How are they similar, and how might this help us understand the shape and stakes of this latest technology? In this three-part Databite series, Data & Society’s Labor Futures program brings together creators, platform workers, call center workers, coders, therapists, and performers for conversations with technologists, researchers, journalists, and economists to complicate the story of generative AI. By centering workers’ experiences and interrogating the relationship between generative AI and underexplored issues of hierarchy, recognition, and adaptation in labor, these interdisciplinary conversations will uncover how new technological systems are impacting worker agency and power. Learn more about the speakers, series, and references at datasociety.net.…

1 What's Trust Got To Do With It? | 'Trust Issues' Workshop Public Panel 1:03:05
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This public keynote was part of Trust Issues , a Data & Society workshop organized by the Trustworthy Infrastructures program. That team includes Sareeta Amrute, Livia Garofalo, Robyn Caplan, Joan Mukogosi, Tiara Roxanne, and Kadija Ferryman.
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1 Data In/Visibility (Queer Data Studies) | Network Book Forum 1:00:58
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Purchase your own copy of Queer Data Studies here: https://bookshop.org/a/14284/9780295751979 .
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1 [Databite No. 157] Recognition | Generative AI's Labor Impacts 1:06:13
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Generative AI has seeped into many corners of our lives, and threatens to upend the economy as we know it, from education to the film industry. How do workers’ encounters with it differ from their experiences with other systems of automation? How are they similar, and how might this help us understand the shape and stakes of this latest technology? In this three-part Databite series, Data & Society’s Labor Futures program brings together creators, platform workers, call center workers, coders, therapists, and performers for conversations with technologists, researchers, journalists, and economists to complicate the story of generative AI. By centering workers’ experiences and interrogating the relationship between generative AI and underexplored issues of hierarchy, recognition, and adaptation in labor, these interdisciplinary conversations will uncover how new technological systems are impacting worker agency and power. Learn more about the speakers, series, and references at datasociety.net.…
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1 [Databite No. 156] Hierarchy | Generative AI's Labor Impacts 1:00:25
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About the Series Generative AI has seeped into many corners of our lives, and threatens to upend the economy as we know it, from education to the film industry. How do workers’ encounters with it differ from their experiences with other systems of automation? How are they similar, and how might this help us understand the shape and stakes of this latest technology? In this three-part Databite series, Data & Society’s Labor Futures program brings together creators, platform workers, call center workers, coders, therapists, and performers for conversations with technologists, researchers, journalists, and economists to complicate the story of generative AI. By centering workers’ experiences and interrogating the relationship between generative AI and underexplored issues of hierarchy, recognition, and adaptation in labor, these interdisciplinary conversations will uncover how new technological systems are impacting worker agency and power. Learn more about the speakers, series, and references at datasociety.net.…
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1 Caring for Digital Remains | Tamara Kneese and Tonia Sutherland | Network Book Forum 59:56
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When people die, they leave behind not only physical belongings, but digital ones. While they might have had specific wishes for what happens to their online profiles and accounts after their deaths, preserving these digital remains is complex and requires specialized forms of care. Because digital remains are attached to corporate platforms — which have control over what online legacies look like and how long they continue — people’s digital afterlives are not necessarily the ones they would have chosen for themselves. On November 16, Tamara Kneese and Tonia Sutherland came together for a conversation about their books, which both foreground death as a site for understanding the social values and power dynamics of our contemporary, platform-saturated world. The conversation between these two authors was moderated by Tamara K. Nopper, senior researcher with Data & Society’s Labor Futures program. Together, they explored death as a site of contestation and transformation.…
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On October 30, the White House issued its long-awaited executive order on artificial intelligence. We’re heartened by the order’s focus on some of AI’s most pressing real-world harms, and especially encouraged by its commitment to apply mandatory rights-protecting practices to the federal government’s use of AI, drawing heavily from the Blueprint for an AI Bill of Rights. A key issue now will be implementing the order’s directives, and addressing the need to put money and people quickly into action across the federal government to advance a very ambitious plan on a short timeline. Our November 7 at 11 a.m. ET during a special LinkedIn Live event featured analysis of the AI executive order with Data & Society’s Executive Director Janet Haven, Policy Director Brian Chen and two coauthors of the Blueprint for an AI Bill of Rights: D&S Senior Policy Fellow Sorelle Friedler and Brown University Professor and D&S Board Member Suresh Venkatasubramanian. They offered their impressions of the order, considered the implications of guidance from the Office of Management and Budget, and reflected on what’s next for policy and the field.…
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1 [Databite 155] Democratizing AI: Principles for Meaningful Public Participation 1:00:18
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As AI presents technical and engineering innovations, the systems present fundamental risks to people, their families, and their communities. Public participation in AI will not be easy. But there are foundational lessons to apply from other domains. Author and legal scholar Michele Gilman’s latest policy brief, Democratizing AI: Principles for Meaningful Public Participation, builds on a comprehensive review of evidence from public participation efforts in anti-poverty programs and environmental policy that summarizes evidence-based recommendations for how to better structure public participation processes for AI. To discuss the policy brief, we invited Michele Gilman to be in conversation with Harini Suresh, Assistant Professor of Computer Science at Brown University, and Richard Wingfield, Director of Technology and Human Rights at BSR. This conversation was moderated by D&S Participatory Methods Researcher, Meg Young, and D&S Policy Director, Brian Chen.…
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1 Network Book Forum | Disrupting DC: The Rise of Uber and the Fall of the City | Katie Wells and Kafui Attoh 1:00:19
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As a tech platform and a company, Uber has become emblematic of an economic shift toward precarious, low-wage gig work and declining labor standards, which has unfolded under the guise of innovation. But an overlooked dimension of Uber’s rise is how the company capitalized on deeper tensions at the heart of urban politics. In Disrupting DC: The Rise of Uber and the Fall of the City, authors Katie Wells, Kafui Attoh, and Declan Cullen tell the story of Uber as a political force, revealing how DC became a testing ground and eventual “playbook” for the company’s consolidation of power across the nation and the globe. During our September 21 Network Book Forum, co-authors Katie Wells and Kafui Attoh discussed their book with M.R. Sauter in a conversation moderated by Data & Society researcher Alexandra Mateescu.…
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1 Fellows Capstone Conversation: "Make a Way" | Lindsey Cameron with Sareeta Amrute 31:30
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"I've always loved the term triple threat: someone who can do research, consulting, and teaching together, consulting being engaged with the world. I knew, yes, I want to be a triple threat. That's been my steadiness, or my purpose, that I've held onto for a long time." - Lindsey Cameron “Creating your own terms for how you want to be in the world always has to be done in solidarity with others. That's why I get so much from these conversations and the fellowship.” - Sareeta Amrute Data & Society launched Race and Technology fellowships three years ago to recognize how important questions of race, and analogous concepts like caste, are to studying, developing, and using emerging technologies. This year's fellows, Lindsey Cameron and Christina Harrington, convened interdisciplinary groups to talk through shared analysis and points of difference in their respective fields, devising nuanced ways to engage with the intersections of tech and race. Recorded in April 2023. Learn more at www.datasociety.net . __ Data & Society studies the social implications of data-centric technologies, automation, and AI. Through empirical research and active engagement, our work illuminates the values and decisions that drive these systems — and shows why they must be grounded in equity and human dignity.…
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1 Fellows Capstone Conversation: "What Guides Us" | Christina Harrington with Sareeta Amrute 29:02
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“I always say that my research, even in the academy, has these parallel interests of thinking about how we make the technology itself more equitable, but then also thinking about -- how do we make the methods, whether they be the design methods or the research methods, more equitable and more accessible?” - Christina Harrington Data & Society launched Race and Technology fellowships three years ago to recognize how important questions of race, and analogous concepts like caste, are to studying, developing, and using emerging technologies. This year's fellows, Lindsey Cameron and Christina Harrington, convened interdisciplinary groups to talk through shared analysis and points of difference in their respective fields, devising nuanced ways to engage with the intersections of tech and race. Recorded in May 2023. Learn more at www.datasociety.net . __ Data & Society studies the social implications of data-centric technologies, automation, and AI. Through empirical research and active engagement, our work illuminates the values and decisions that drive these systems — and shows why they must be grounded in equity and human dignity.…
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1 [Databite 154] The Trauma of Caste in Tech: In Conversation with Thenmozhi Soundararajan 1:01:32
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Despite the ban on untouchability 70 years ago, caste, one of the oldest systems of exclusion in the world, is thriving — impacting 1.9 billion people worldwide. And the wreckages of caste are replicated in the US and elsewhere, showing up at work, at school, in housing, and in technology, and forcing countless Dalits to live in fear of being outed. In The Trauma of Caste: A Dalit Feminist Meditation on Survivorship, Healing, and Abolition , Dalit American activist Thenmozhi Soundararajan puts forth a call to awaken and act, not just for readers in South Asia, but around the world. She ties Dalit oppression to fights for liberation among Black, Indigenous, Latinx, femme, and queer communities, examining caste from a feminist, abolitionist, and Dalit Buddhist perspective — and laying bare the grief, rage, and stolen futures enacted by Brahminical social structures. Purchase your copy of The Trauma of Caste : https://bookshop.org/a/14284/9781623177652…
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1 [Databite 153] Essentially Unprotected: Health Data and Surveillance of Essential Workers during the COVID-19 Pandemic 54:13
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Data & Society’s report Essentially Unprotected is based on interviews with 50 people who worked in grocery, warehousing, manufacturing or meat and food processing during the pandemic. The report highlights their experiences and efforts to manage the confusing and often terrifying challenges of the in-person pandemic workplace. In this conversation featuring Angela Stuesse and Irene Tung, Amanda Lenhart and Livia Garofalo examine the social, economic, and regulatory environment that laid the groundwork for serious information gaps surrounding infections. We will explore how technology contributed to the collection of data and worsened workers’ stress and frustration — and, in select cases, facilitated information-sharing that protected workers’ privacy and addressed their fears. Read the report : https://datasociety.net/library/essentially-unprotected/…
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1 Databite No. 152 Cuidado Digital—Reproductive Rights, Abortion, and Digital Networks of Care in Latin America 1:00:59
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With the repeal of Roe v. Wade in the US, the “green wave” — a color associated with the movement for safe and legal abortion that started in Argentina and spread to the rest of the continent — has reached American shores. With it have come debates about bodily autonomy and, in an increasingly datafied landscape, ownership of personal reproductive information. In this conversation, Livia Garofalo, researcher with Data & Society’s Health and Data team, spoke to Eugenia Ferrario, a feminist activist and educator with the abortion care network Socorristas en Red in Argentina, and Rebeca Ramos Duarte, a lawyer in Mexico and director of El Grupo de Información en Reproducción Elegida, about the significance of reproductive freedom and care in the current climate. In both English and Spanish, this conversation centers cuidado (which means “care” in Spanish) as both the means and an end to providing safe abortions, connecting activists, and understanding how the “digital” can facilitate and impede reproductive liberation. This Databite was interpreted by Claudia Alvis and Valeria Lara.…
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1 Databite No. 152 Cuidado Digital—Derechos Reproductivos, Aborto y Redes Digitales de Cuidado en América Latina 1:01:03
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Desde hace mucho tiempo, el activismo en América Latina ha combatido - y en algunos casos ganado - la batalla por la libertad reproductiva. Dada la reciente revocación de Roe vs Wade, la “ola verde”, el color asociado con el movimiento para el aborto legal, seguro y gratuito que originó en Argentina y se ha expandido al resto del continente, ha llegado a los Estados Unidos. La revocación y penalización del derecho a abortar ha reanimado el debate sobre la autonomía, sobre el propio cuerpo y la información reproductiva personal, especialmente en este nuevo panorama de dataficación. En esta conversación, Livia Garofalo, investigadora con el equipo Health + Data de Data & Society, hablará con Eugenia Ferrario, activista feminista de las Socorristas en Red en Argentina y Rebeca Ramos Duarte, abogada y directora de El Grupo de Información en Reproducción Elegida (GIRE) en México para reflexionar sobre la importancia del cuidado y la libertad reproductiva. Ponemos en el centro de este evento el concepto de “cuidado” concebido como ética y práctica de relaciones solidarias y sus manifestaciones digitales. Este Databite fue interpretado por Claudia Alvis y Valeria Lara.…
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1 Databite No. 151 Power and Retail at the Digital Doorstep 1:01:05
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Read the Report: "At the Digital Doorstep"
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1 Databite No. 150 AI in/from the Majority World – Unscripted Conversation 48:12
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A PRIMER ON AI IN/FROM THE MAJORITY WORLD—An Empirical Site and a Standpoint
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1 In Fellowship: 2021-2022 Capstone Conversation 1:29:06
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Recorded on June 3, 2022. Learn more at www.datasociety.net.
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On August 11, 2022 Dan Bouk discussed his latest book, Democracy's Data: The Hidden Stories in the U.S. Census and How to Read Them, with Dr. Alex Hanna, Director of Research at the Distributed AI Research Institute. The conversation was moderated by Data & Society People and Culture Manager, Ronteau Coppin. The census isn’t just a data-collection process; it’s a ritual, and a tool, of American democracy. Behind every neat grid of numbers is a collage of messy, human stories—you just have to know how to read them. In Democracy’s Data, the data historian Dan Bouk examines the 1940 U.S. census, uncovering what those numbers both condense and cleverly abstract: a universe of meaning and uncertainty, of cultural negotiation and political struggle. He introduces us to the men and women employed as census takers, bringing us with them as they go door to door, recording the lives of their neighbors. He takes us into the makeshift halls of the Census Bureau, where hundreds of civil servants, not to mention machines, labored with pencil and paper to divide and conquer the nation’s data. And he uses these little points to paint bigger pictures, such as of the ruling hand of white supremacy, the place of queer people in straight systems, and the struggle of ordinary people to be seen by the state as they see themselves. The 1940 census is a crucial entry in American history, a controversial dataset that enabled the creation of New Deal era social programs, but that also, with the advent of World War Two, would be weaponized against many of the citizens whom it was supposed to serve. In our age of quantification, Democracy’s Data not only teaches us how to read between the lines but gives us a new perspective on the relationship between representation, identity, and governance today.…
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1 Book Forum Series: Experiments of the Mind 58:39
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Join author Emily Martin (Professor Emerita, Department of Anthropology, NYU), panelists Iretiolu Akinrinade (Research Analyst, Data & Society), and Noelle Stout (faculty member, Program in Advanced Teaching and Research, Apple University), and host Emanuel Moss (Join Postdoctoral Scholar, Data & Society, Cornell Tech) for a conversation around Experiments of the Mind: From the Cognitive Psychology Lab to the World of Facebook and Twitter. Experimental cognitive psychology research is a hidden force in our online lives. We engage with it, often unknowingly, whenever we download a health app, complete a Facebook quiz, or rate our latest purchase. How did experimental psychology come to play an outsized role in these developments? Experiments of the Mind considers this question through a look at cognitive psychology laboratories. Emily Martin traces how psychological research methods evolved, escaped the boundaries of the discipline, and infiltrated social media and our digital universe. Martin recounts her participation in psychology labs, and she conveys their activities through the voices of principal investigators, graduate students, and subjects. Despite claims of experimental psychology's focus on isolated individuals, Martin finds that the history of the field--from early German labs to Gestalt psychology--has led to research methods that are, in fact, highly social. She shows how these methods are deployed online: amplified by troves of data and powerful machine learning, an unprecedented model of human psychology is now widespread--one in which statistical measures are paired with algorithms to predict and influence users' behavior. Experiments of the Mind examines how psychology research has shaped us to be perfectly suited for our networked age.…
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Nice White Ladies: The Truth About White Supremacy, Our Role in it, and How We Can Help Dismantle it, by D&S 2018-2019 Fellow Jessie Daniels, and hosted by Principal Researcher & Race and Tech Program Director Sareeta Amrute -- Named a Best Book of 2021 by Kirkus An acclaimed expert illuminates the distinctive role that white women play in perpetuating racism, and how they can work to fight it. In a nation deeply divided by race, the “Karens” of the world are easy to villainize. But in Nice White Ladies, Jessie Daniels addresses the unintended complicity of even well-meaning white women. She reveals how their everyday choices harm communities of color. White mothers, still expected to be the primary parents, too often uncritically choose to send their kids to the “best” schools, collectively leading to a return to segregation. She addresses a feminism that pushes women of color aside, and a wellness industry that insulates white women in a bubble of their own privilege. Daniels then charts a better path forward. She looks to the white women who fight neo-Nazis online and in the streets, and who challenge all-white spaces from workplaces to schools to neighborhoods. In the end, she shows how her fellow white women can work toward true equality for all.…
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1 Conversations on the Datafied State – Part Three: Race, Surveillance, Resistance 1:07:30
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Tamara K. Nopper and Chaz Arnett in conversation with Raúl Carrillo and Alyx Goodwin This panel focuses attention on how datafication processes are related to social control and surveillance, whether policing and the criminal punishment system or credit scoring systems and monitoring the use of cash. State power is expanded through the widening net of surveillance and the use of tools of automated detection and enforcement, which maintains racial and class hierarchies. Our panel also examines how communities and organizations are resisting the datafied state and its particular impact on Black and people of color communities, including efforts to regulate data collection, politically organize against harmful data initiatives, or propose policies that attempt more ethical data processes.…
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1 Conversations on the Datafied State – Part Two: The Automated State 1:00:15
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Ranjit Singh, Researcher at D&S, in conversation with Joanna Redden, Assistant Professor at the Faculty of Information & Media Studies at the University of Western Ontario and the co-director of the Data Justice Lab, and Michele E. Gilman, Venerable Professor of Law and Associate Dean for Faculty Research and Development at the University of Baltimore School of Law and director of the Civil Advocacy Clinic. The automated state is one that seeks to replace human workers with machines. There are three general motivations. One, the desire to leverage computational speed to handle rote and routine work more efficiently. Two, the desire to improve the accuracy, fairness, or consistency of decision-making in light of human fallibility. Three, the desire to depoliticize decision-making (or appear to) by placing it out of reach of human discretion. These motivations, however, raise distinctive concerns about oversight and the ability to seek recourse in the case of errors or bugs in decision-making. What does interacting with systems, interfaces, and datasets require of people interfacing with the Datafied State? What literacies are necessary? What room is there for voice? What does automation look like in practice? Who is rendered invisible when showcasing success in automating state practices? About Data & Society Data & Society is an independent nonprofit research organization. We believe that empirical evidence should directly inform the development and governance of new technology. We study the social implications of data and automation, producing original research to ground informed, evidence-based public debate about emerging technology. About the Series The Datafied State is an emerging research agenda that seeks to explore the relationship between datafication and public administration. It is concerned with the proliferation of data sources, infrastructures, and computational techniques adopted across the public sector. The processes through which governments procure, develop, implement, and legally mandate the use of digital and computational systems are increasingly blurring the boundaries between what is considered public and private. So, how datafied is the state today? How can we find out?…
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1 Conversations on the Datafied State – Part One: What is the Public Interest? 58:37
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Jenna Burrell, Director of Research at Data & Society, in conversation with Anne Washington, Assistant Professor of Data Policy at NYU, and Deirdre Mulligan, Professor in the School of Information at UC Berkeley. Part one in a series of three Conversations on The Datafied State. The role of government is distinct from the private sector. Governments serve the public and prioritize values beyond market fit and return on investment. Governments interface with advocacy groups, unions, and other publics and not just individuals. In their approach to solving problems using computational, data-driven systems, governments have an opportunity to model responsible, accountable, and accessible tech. But what exactly would it mean for that tech to be in “the public interest,” and how are such publics constituted?…
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1 Network Book Forum: Patching Development 1:05:25
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1 Network Book Forum: Digital Black Feminism 1:03:44
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1 Network Book Forum: The Distance Cure 59:40
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1 Databite No. 146: Moving Through Molasses: On Intellectual labor, Productivity, and Belonging 54:50
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Meredith D. Clark, Ph.D. is an assistant professor in the Media Studies department at the University of Virginia. Her professional journalism background informs her primary research on the relationships between Black communities and news media in social media spaces. Her secondary research in critical journalism studies addresses questions of systemic racism in U.S. news media, with a focus on culture and processes in print and digital newsrooms. Her current work contextualizes Black Americans’ use of Twitter to create digital counter-narratives to mainstream news coverage of Black lived experiences as contemporary forms of resistance. Shaka McGlotten is Professor of Media Studies and Anthropology at Purchase College-SUNY, where they also serve as Chair of the Gender Studies and Global Black Studies Programs. Their work stages encounters between Black study, queer theory, media, and art. Their research focuses on networked intimacies and messy computational entanglements as they interface with QTPOC lifeworlds.…
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1 Algorithmic Governance and the State of Impact Assessment in the EU, US, and Canada 1:00:23
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Algorithmic impact assessments have emerged as a centerpiece of the conversation about algorithmic governance. Impact assessments integrate many of the chief tools of algorithmic governance (e.g., auditing, end-to-end governance frameworks, ethics reviews) and speak to the challenges of algorithmic justice, equity, and community redress. Impact assessment (or similar accountability mechanisms) are at the core of recent headlines about procurement practices in Canada, leaked regulatory proposals in the EU, and new efforts to regulate the tech industry in the US. But do impact assessments promise too much? Multiple national and state governments have instituted, or are considering, requirements for impact assessment of algorithmic systems, but there is a surprisingly wide range of structures for these regulations. Sarah Chander leads EDRi's policy work on AI and non-discrimination with respect to digital rights. She is interested in building thoughtful, resilient movements and she looks to make links between the digital and other social justice movements. Sarah has experience in racial and social justice, previously she worked in advocacy at the European Network Against Racism (ENAR), on a wide range of topics including anti-discrimination law and policy, intersectional justice, state racism, racial profiling and police brutality. Comment end Fenwick McKelvey is an Associate Professor in Information and Communication Technology Policy in the Department of Communication Studies at Concordia University. He studies digital politics and policy. He is the author of Internet Daemons: Digital Communications Possessed (University of Minnesota Press, 2018) winner of the 2019 Gertrude J. Robinson Book Award. He is co-author of The Permanent Campaign: New Media, New Politics (Peter Lang, 2012) with Greg Elmer and Ganaele Langlois. Jacob (Jake) Metcalf, PhD, is a researcher at Data & Society, where he is a member of the AI on the Ground Initiative, and works on an NSF-funded multisite project, Pervasive Data Ethics for Computational Research (PERVADE). For this project, he studies how data ethics practices are emerging in environments that have not previously grappled with research ethics, such as industry, IRBs, and civil society organizations. His recent work has focused on the new organizational roles that have developed around AI ethics in tech companies. Brittany Smith is the Policy Director at Data & Society. Prior to joining Data & Society, Brittany worked at DeepMind and Google in policy, ethics and human rights roles. Brittany also currently serves on the Advisory Board of JUST AI, a humanities-led network inviting new ways of thinking about data and AI ethics. Brittany graduated from Northwestern University and the London School of Economics.…
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1 Becoming Data Episode 5: Data & Racial Capitalism 47:04
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In the final episode of our season, “Becoming Data,” scholars Sareeta Amrute and Emiliano Treré join our host, Natalie Kerby, to discuss the concept and lived reality of racial capitalism. The episode explores how data-centric systems perpetuate racial capitalism, and how different communities, particularly in the Global South, have resisted this datafication. Sareeta Amrute (@SareetaAmrute) is an anthropologist, associate professor at the University of Washington, and Director of Research at Data & Society. Emiliano Treré (@EmilianoTrere) is a senior lecturer in Media Ecologies and Social Transformation and co-director of the Data Justice Lab at Cardiff University. "Becoming Data" is co-produced by Data & Society and Public Books.…
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1 Becoming Data Episode 4: Data & Infrastructure 54:19
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Scholars Laura Forlano and Ranjit Singh join our host, Natalie Kerby, to explore the different infrastructures that data interacts with and flows through. Whose values get embedded into the algorithms that increasingly govern our lives? How are these data infrastructures complicating what it means to be human? Ranjit Singh (@datasociety) is a Postdoctoral Scholar at Data & Society. Laura Forlano (@laura4lano) is associate professor at the Institute of Design at Illinois Institute of Technology. "Becoming Data" is co-produced by Data & Society and Public Books.…
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1 For Leaders and Researchers: Bringing Equity into the Remote Workplace 58:37
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Over the past year, Covid-19 has exacerbated suffering across every section of life. Harassment and hostility, work pressure, and the strain of a pandemic, along with trauma from ongoing racism, sexism, and other discrimination, have taken a toll on our mental health. Until now, little research has been done on the impact of Covid-19 on the tech workforce. Project Include surveyed almost 3,000 people and interviewed dozens more about the shift to remote online workplaces. In their latest report, “Remote work since Covid-19 is exacerbating harm: What companies need to know and do”, they take an intersectional lens and data equity-focused approach to understand specifically who has been harmed, how they were harmed, and how to fix it. Speaker Bios One of Silicon Valley's leading advocates for fairness and ethics, Ellen Pao is also a long-time entrepreneur and tech investor. Her landmark gender discrimination case against venture capital firm Kleiner Perkins sparked other women, especially women of color, to fight harassment and discrimination in what’s been called the "Pao Effect.” Currently, Ellen is CEO of nonprofit Project Include, which uses data-based, practical solutions and recommendations to give everyone a fair chance to succeed. At reddit, she was the first major social platform CEO to ban revenge porn, unauthorized nude photos, and cross-platform harassment, with other social media sites quickly following suit. Ellen has written and spoken extensively, including in The New York Times, The Washington Post, TIME, Recode, and WIRED. Her book “Reset” recounts her long-time advocacy of diversity and inclusion and her own experiences with discrimination. Yang Hong works as Shoshin Insights, an in(ter)dependent data and machine learning consultancy with a justice-centered approach for societal issues. She’s worked on the global refugee crisis, hearing aids, data poverty, climate justice, tech equity, and more. As a community builder, she has tended to gardens such as Work On Climate, Activist Teahouse, and South Park Commons. Yang is a creative apprentice to lifelong practices of tea and collective liberation. McKensie Mack (pronouns: they/them) is a trilingual anti-oppression consultant, researcher, facilitator, and the founder & CEO of MMG. MMG is a global social justice organization that specializes in organizational change management through a lens of data equity; helping people transform culture, practices, and policies at the intersection of race, gender, class, disability, and LGBTQ+ identity. Their clients are currently based all over the world in the U.S., the UK, France, South Africa, Nigeria, Germany, Spain, and Peru. McKensie is the former inaugural Executive Director of Art+Feminism, one of the largest gender equity focused projects on Wikipedia.…
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