CDT Tech Talks

In this episode, we explore the vital role public interest technologists play in shaping policy. How do technical experts influence legislation around the internet, cybersecurity, AI, and more? What challenges do they face, and how can we encourage more technologists to engage in public policy? Joining the conversation are Chinmayi Sharma, Associate Professor at Fordham Law School and CDT Non-Resident Fellow, and Nick Doty, CDT’s Senior Technologist. Tune in as we unpack the intersection of technology and policymaking—and why it matters now more than ever.

In today’s episode, we dive into an often overlooked but incredibly important issue: content moderation in non-dominant languages, specifically Maghrebi Arabic dialects. Recently, CDT released a groundbreaking report titled "Moderating Maghrebi Arabic Content on Social Media," which explores the challenges, gaps, and opportunities in ensuring fair and effective moderation of Arabic content on social platforms. To unpack these insights, we’ll be joined by two leading experts in the field: Mona Elswah, a researcher in digital rights and content moderation, and Fellow of the Content Moderation for Languages in the Global South Project at CDT; and Emna Mizouni, a Tunisian digital rights advocate, community leader, and founder-CEO of Digital Citizenship. We’ll discuss the unique hurdles faced by Maghrebi Arabic speakers online, why it's critical for platforms to address these gaps, and what needs to change to make content moderation more inclusive and equitable for all users.

In this episode, we explore the vital topic of bias and equity in AI systems. Joining the conversation are two esteemed guests: Raffi Krikorian, Chief Technology Officer at the Emerson Collective, and Alexandra Givens, President and CEO of the Center for Democracy and Technology. Tune in as we unpack the challenges and opportunities in making AI more equitable for all.In this episode, we explore the vital topic of bias and equity in AI systems. Joining the conversation are two esteemed guests: Raffi Krikorian, Chief Technology Officer at the Emerson Collective, and Alexandra Givens, President and CEO of the Center for Democracy and Technology. Tune in as we unpack the challenges and opportunities in making AI more equitable for all.

More and more people turn to quantified health, achievement, and ability measures, such as fitness apps and economic measures of well-being every single day. As part of this trend, medicalized approaches to human health often describe people in terms of statistics and data, sometimes failing to capture more important details. In particular, the quantified approach falls short in describing the needs and rights of disabled people, as seen in lawsuits and case studies involving algorithmic decision-making about disability benefits. Here to talk about algorithmic decision-making and quantification in disability benefits in the United States and India are Vandana Chaudhry, Associate Professor in the Department of Social Work and Disability Studies at the City University of New York who focuses on disability and digital justice in the Global South, and Lydia X.Z. Brown, activist for disability justice, Director of Public Policy at the National Disability Institute, and CDT’s very own former policy counsel.

It’s a modern day reality that large social media platforms deliver political information to many citizens, making these companies’ policies for removing and blocking speech critical to politics and culture. Emergencies such as the January 6th attack on the U.S. Capitol and the genocide of the Rohingya people in Myanmar can be traced in part to misinformation and hate speech shared online via large social media platforms. The problem of how social media companies should create policies to govern these spaces makes them uniquely quasi-governmental, a role, still developing today.

In recent years, differential privacy has emerged as a promising solution for enhancing privacy protections in data processing systems. However, beneath its seemingly robust framework lie certain assumptions that, if left unquestioned, could inadvertently undermine its efficacy in safeguarding individual privacy. Here to discuss their recent papers on differential privacy is Rachel Cummings, Associate Professor of Industrial Engineering and Operations Research at Columbia University and CDT Non-Resident Fellow and Daniel Susser, Associate Professor for the Department of Information Science at Cornell University and CDT Non-Resident Fellow.

In today's episode, we’ll delve into the exciting realm of Artificial Intelligence, and its transformative impact on education. The recent strides in AI have reignited curiosity about its potential to enhance learning experiences. However, it's essential to recognize that AI encompasses a diverse array of methods, capabilities, and limitations. Join us as we navigate through the nuances often overlooked by researchers, education technology firms, and other developers in the AI landscape. Here to discuss what this means and share insights from his paper, “Unpacking the "Black Box" of AI in Education”, is Nabeel Gillani, CDT Non-Resident Fellow and Assistant Professor of Design and Data Analysis at Northeastern University.