جستجوی استاد راهنمای دانشگاهی

• AI and Law
• Ethics of Artificial Intelligence
• Responsible Data Analysis
• +۶ مورد دیگر

Dr. Francien Dechesne serves as Endowed Professor of 'Data and AI for the Rule of Law' at Tilburg University through a joint appointment between the Tilburg School of Humanities and Digital Sciences (TSHD, lead school) and Tilburg Law School (TLS). Funded by the Ministry of Justice and Security's Research and Data Centre (WODC), her five-year term (2025-2030) is based in TSHD's Intelligent Systems department. Her academic foundation includes: PhD in Mathematical Logic (Tilburg & Eindhoven Universities of Technology, 2005) Research on security protocol verification (Eindhoven, 2005-2009) Research on ethics of information technology (Delft, 2009-2014) Studies in mathematics (intuitionistic) and philosophy (Radboud University Nijmegen) Dechesne's research confronts critical tensions between AI innovation and legal accountability, focusing on responsible data analysis frameworks for justice/security applications. She investigates how algorithmic opacity and biased training data undermine public trust—exemplified by the Child Benefits Affair—and develops governance models for rule-of-law-compliant AI in tax administration, law enforcement, and judicial systems. Her work uniquely bridges technical AI development with legal theory and societal impact assessment. The WODC-funded chair establishes institutional collaboration between Tilburg University and the Ministry of Justice, prioritizing scientifically rigorous approaches to AI implementation in public governance. Dechesne leverages her pre-academic IT management experience and interdisciplinary scholarship to translate theoretical frameworks into actionable policy guidance for Dutch security agencies.

Stefania Milanمشاهده پروفایل

استاد

• Critical Data Studies
• Political participation and technology
• Data activism
• +۵ مورد دیگر

Stefania Milan is Professor of Critical Data Studies at the University of Amsterdam, working at the intersection of political participation, technology, and governance with emphasis on infrastructure and agency. She is affiliated with the Florence School of Transnational Governance at the European University Institute and the Berkman Klein Center for Internet & Society at Harvard University. Her research focuses on critical data studies, data activism, and the politics of digital infrastructure. Milan examines how datafication transforms political participation and civil society engagement, exploring concepts like data activism , cloud protesting , and digital civil disobedience . Her work bridges Science and Technology Studies with Social Movement Studies to understand the evolving relationship between citizens, data, and power. Analysis of Milan's publications reveals consistent engagement with how datafication reshapes political agency, particularly through grassroots data practices. Her research spans theoretical frameworks for understanding data activism, empirical studies of digital protest, and critical examinations of internet architecture and human rights. Key trends include the emergence of alternative epistemologies around data, the politics of visibility in digital spaces, and the tension between data as stakes versus data as repertoires in political struggle. ERC Starting Grant (StG-2014_639379 DATACTIVE) for the DATACTIVE research project Milan leads the DATACTIVE research project and collective, which explores the politics of big data broadly defined, examining massive data collection, privacy, surveillance, social movements, internet activism, and internet infrastructure governance. She has also contributed to several significant research initiatives including the Big Data from the South Initiative, the IN-SIGHT.it project on citizenship and standard-setting in digital networks, and the e-LADDA project on Early Language Development in the Digital Age. The DATACTIVE project, based at the Department of Media Studies at the University of Amsterdam, investigates how civil society engages with datafication through both affirmative practices and resistance tactics. Milan's research collective examines how activists leverage technical properties of social media platforms and develop alternative data practices that challenge dominant data regimes.

Luke Munnمشاهده پروفایل

پژوهشگر ارشد

• Digital Cultures
• Sociocultural Impacts of Technology
• Media Studies
• +۷ مورد دیگر

Luke Munn is a Research Fellow in Digital Cultures & Societies at the University of Queensland. His work investigates the sociocultural impacts of digital cultures, focusing on data infrastructures in Asia, platform labor, and far-right radicalisation. His research has been published in leading journals including Cultural Politics , Big Data & Society , and New Media & Society , with additional commentary featured in The Guardian , Los Angeles Times , and Washington Post . Dr. Munn's research integrates critical media studies, race theory, and cultural analysis to examine algorithmic systems and digital emotional landscapes. His five-book portfolio includes Unmaking the Algorithm (2018), Logic of Feeling (2020), Automation is a Myth (2022), Countering the Cloud (2022 forthcoming), and Technical Territories (2023 forthcoming), addressing critiques of technological determinism, cloud infrastructure politics, and embodied digital experiences through innovative methodological frameworks.

Rainer Mühlhoffمشاهده پروفایل

استاد

• Ethics of Artificial Intelligence
• Data Protection
• Critical Social Theory
• +۷ مورد دیگر

Rainer Mühlhoff is Professor of Ethics of Artificial Intelligence at the University of Osnabrück's Institute of Cognitive Science, with additional affiliation at the Weizenbaum Institute for the Networked Society in Berlin. He leads the Ethics and Critical Theories of Artificial Intelligence research group, focusing on the societal implications of digital technologies through interdisciplinary collaboration between philosophy, media studies, and computer science. His research spans critical analysis of AI's ethical dimensions, including data protection frameworks, predictive privacy violations, and the relationship between algorithmic systems and authoritarian tendencies. Key thematic areas include: Power dynamics in datafication and AI governance Intersectional discrimination in automated decision-making Collective privacy as a structural concern Historical parallels between digital fascism and 20th-century authoritarianism Educational strategies for digital literacy and critical engagement Mühlhoff's recent publications analyze how predictive algorithms enable new forms of population management through insurance discrimination, hiring practices, and immigration control. His work advocates for reimagined regulatory frameworks that address AI's structural power imbalances rather than merely technical fixes. Current research initiatives include the DFG-funded project Predictive Knowledge is Power (2025) examining collective privacy frameworks, and development of school curricula through the Data Ethics Outreach Lab (DEOL) which translates academic research into educational materials for critical digital literacy. Professional activities include regular appearances at major conferences (Chaos Communication Congress, re:publica), media commentary (Deutschlandfunk, ARD), and public engagement through book launches and radio discussions addressing AI's societal impacts.