Prof. Dr. Oliver Müller is a Professor at the Department of Philosophy, University of Freiburg, and serves as Vice Dean of the Faculty of Philosophy. His academic journey includes a doctorate from Humboldt University Berlin (2005) and a habilitation in Philosophy (2012). Müller leads research on Philosophical Anthropology, Philosophy of Technology, and Ethics, with a focus on human-machine interactions and Anthropocene ethics. He supervises doctoral and postdoctoral researchers across projects like livMatS and BrainLinks-BrainTools. Research interests span neuroethics, transhumanism, and socio-technological systems, emphasizing ethical frameworks for emerging technologies. Publications explore AI ethics, drone warfare, and phenomenological embodiment, reflecting interdisciplinary engagement with neuroscience and environmental philosophy. Honors include the MTZ Bioethics Award and Heisenberg Fellowship. Müller directs participatory discourse initiatives bridging art and science, fostering public engagement with technological ethics. His work advances critical dialogues on human enhancement and ecological responsibility in the digital age.
Stefano Rossi is a Full Professor of Finance at Bocconi University's Department of Finance, serving as Chair of the Department. He holds affiliations with the Centre for Economic Policy Research (CEPR) and the European Corporate Governance Institute (ECGI), and serves on editorial boards for journals including Journal of Law, Finance, and Accounting and European Financial Management . His research focuses on corporate governance, bankruptcy, debt financing, sovereign borrowing, and quantitative trading, with publications in top journals such as The Journal of Finance and Journal of Monetary Economics . He has received international recognition, including awards for his work on ownership evolution. Prior to Bocconi, he taught at institutions including the Stockholm School of Economics and Cornell University. He earned his BA/MSc from Bocconi and a PhD in Finance from London Business School. Prof. Rossi's research explores intersections between corporate finance and public policy, with recent work analyzing credit cycles, municipal bankruptcy law, and liquidity shocks in insurance markets. His articles frequently address systemic financial risks and institutional frameworks governing corporate and sovereign debt. Awards include the ECGI Best Paper Prize for his collaborative research on ownership dynamics. Teaching spans corporate finance, valuation, and financial markets at undergraduate, graduate, and executive levels. He has developed courses at Bocconi's undergraduate, MBA, and PhD programs, emphasizing practical applications of theoretical finance models. His comprehensive curriculum includes mergers & acquisitions and private equity strategies. Key contributions include studies on shareholder voting mechanisms, sovereign default dynamics, and the impact of tax policies on corporate behavior. His work often bridges academic rigor with real-world policy implications, influencing both academic discourse and regulatory practices.
Marc-Antoine Dilhac serves as Associate Professor in the Department of Philosophy at the University of Montreal's Faculty of Arts and Sciences, where he also directs governance and international collaboration initiatives. He holds leadership roles as Scientific Director of Algora Lab and leads the Ethics and Politics research axis at the Centre de recherche en éthique (CRÉ). His academic affiliations extend to the Centre d'études et de recherches internationales (CÉRIUM) and the Canada Research Chair in Public Ethics and Political Theory (2014-2019). Education: PhD in Philosophy and Political Science, University of Paris I: Panthéon-Sorbonne (2009) Master 2 in Philosophy and Political Science, University of Paris I: Panthéon-Sorbonne (2003) Agrégation in Philosophy, University of Paris I: Panthéon-Sorbonne (2002) Dilhac's research spans ethics, political philosophy, and AI governance, with particular focus on democratic tolerance, multiculturalism, and the ethical implications of artificial intelligence. His work bridges theoretical political philosophy with practical applications in AI policy development, sustainable finance, and democratic institutions. He has contributed significantly to UNESCO's Recommendation on the Ethics of Artificial Intelligence and leads initiatives examining AI's impact on French-speaking culture and democratic values. His recent publications reveal a clear trajectory from foundational work on tolerance and justice theory toward contemporary AI ethics challenges. The thematic evolution shows increasing engagement with practical governance frameworks, particularly in finance and education sectors, while maintaining strong philosophical grounding in democratic theory and institutional design. Key Awards and Recognition: Canada Research Chair in Public Ethics and Political Theory (2014-2019) Banting Postdoctoral Fellowship (2011) Contributor to UNESCO's Recommendation on AI Ethics (2021) Dilhac has supervised over 15 graduate students across philosophy, political science, and interdisciplinary AI ethics programs. His research is supported by multiple grants from FRQSC, FRQNT, SSHRC, and MITACS, totaling over $2 million CAD. Current projects include the Generative AI Ethics Framework for Educational Technology (2024-2025) and the Sustainable Finance AI Tools project examining ESG/DEI disclosure analysis. He co-founded and leads the CORDÉ research group on corruption and democracy, and directs Algora Lab's work on AI governance. His upcoming February 2025 panel at Université Laval will address AI and Francophone cultural perspectives ahead of the Paris AI Action Summit.
Bryan H. Choi is an Associate Professor of Law at the University of Colorado Law School , where he bridges law and computer science to address software and AI safety. His work on software liability has influenced national cybersecurity strategy discussions. As an Adviser for the ALI Principles Project on Civil Liability for Artificial Intelligence , he shapes legal frameworks for emerging technologies. Education : JD and AB in Computer Science from Harvard University; clerkships with U.S. Court of Appeals judges Leonard I. Garth and William C. Bryson. Roles : Former joint appointment at Ohio State University Law School and Computer Science Department; Faculty Fellow at UPenn's CTIC; Director of Law and Media at Yale's ISP. Research Focus : Choi's scholarship examines software liability , AI accountability , and privacy law through interdisciplinary lenses. He critiques institutional approaches to software safety and advocates for empirical legal frameworks over participation-based models. Recent Articles address AI malpractice , NIST software standards , and forensic tool validation , reflecting trends in AI regulation and cyber-physical system liability . His 2021 NSF grant funded technical-legal methods for safety-critical systems. Awards & Grants : National Science Foundation (NSF) Grant (2021) Adviser, ALI Principles Project on Civil Liability for Artificial Intelligence Community Engagement : Active in Law and Computer Science communities , serving on committees for the ACM Symposium , Cybersecurity Law and Policy Scholars Conference , and co-organizing the AAAI Bridge Program on AI and Law .
Benjamin Mako Hill is an Associate Professor in the University of Washington Department of Communication and an Adjunct Associate Professor in Human-Centered Design & Engineering , the Paul G. Allen School of Computer Science & Engineering , and the Information School at UW. He is a Faculty Associate at the Berkman Klein Center for Internet and Society at Harvard University and a Fellow at the Center for Information Technology Policy at Princeton University during the 2023–2024 academic year. Educational Background : PhD in an interdepartmental program at Massachusetts Institute of Technology (MIT) , involving the MIT Sloan School of Management and the MIT Media Lab , advised by Eric von Hippel, Yochai Benkler, Tom Malone, and Mitch Resnick. MS in Media Arts and Sciences from MIT. B.A. in Technological and Legal History from Hampshire College . Research Interests span peer production, online communities, collective action, cooperation, learning, and computer-mediated communication. His work explores how communication and information technologies shape social outcomes in collaborative environments like Wikipedia and Linux, focusing on governance, moderation, anonymity, and educational platforms such as Scratch. Article Trends : His publications analyze peer production dynamics, privacy in open collaboration, and computational thinking in youth. Topics include underproduction in open source software, algorithmic fairness, taboo knowledge production, and legitimate peripheral participation in online communities. Methodologies combine big data, quasi-experimental, and comparative analyses. Scientific Awards : Dordick Award for Best Dissertation (2013). CHI '22 Best Paper Honorable Mention (2022). CSCW '18 Best Paper Honorable Mention (2018). CHI '17 Best Paper Honorable Mention (2017). CSCW '13 Best Paper Award (2013). CHI '11 Best Paper Honorable Mention (2011). Advising and Grants : He co-founded the Community Data Science Collective and collaborates with researchers like Aaron Shaw. Grants include multiple National Science Foundation awards for studies on digital knowledge commons, anonymous participation, and collaborative success, as well as a Sloan Foundation grant for modeling underproduction in peer production. Labs and Teams : He leads the Community Data Science Collective , an interdisciplinary research group studying online communities, and contributes to open-source projects like Debian and Ubuntu . He actively edits Wikimedia projects and participates in the Cascadia Wikimedians User Group .
Prof. Martin Messner is a University Professor at the University of Innsbruck, leading the Controlling Institute within the Department of Organization and Learning. His work focuses on management accounting, performance measurement, and the intersection of accounting practices with organizational behavior. He holds editorial leadership roles, including Editor-in-Chief of Accounting, Organizations and Society (2021–present) and previously served on the Management Accounting Research editorial board (2015–2019). Prior to his current position, he was an Assistant Professor at HEC Paris (2006–2011). Research Interests: His research explores performance measurement systems, ethics in management control, and the evolving roles of accounting in organizational narratives and governance. He investigates topics like algorithmic decision-making, narrative reporting, and entrepreneurial governance structures. Professional Activities: Member of the European Accounting Association’s Publications Committee Co-organizer of the MASOP Workshops (2008–2023) His publications span academic journals and edited volumes, addressing themes such as zero-based budgeting, data scientist identities, and the ethical implications of control systems. He actively bridges theoretical and practical accounting issues through interdisciplinary collaboration.
Dylan Hadfield-Menell is an Assistant Professor in the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology, holding the Bonnie and Marty (1964) Tenenbaum Career Development Professorship. His research focuses on AI alignment and human-AI interaction within MIT's School of Engineering. His research interests center on agent alignment problems in AI systems, particularly examining uncertainty in objective optimization for human-robot teams and societal oversight of machine learning systems. Key areas include the principal-agent alignment problem , assistance games frameworks , and robust preference learning that accounts for hidden contextual factors in reinforcement learning from human feedback. His recent publications reveal strong trends toward multi-agent cooperation , formal contract mechanisms for resolving social dilemmas, and advanced evaluation methodologies for AI safety. The research spans theoretical frameworks like open-universe assistance games while addressing practical challenges in language model alignment and cultural bias assessment. Scientific awards include: AI2050 Early Career Fellowship from Schmidt Futures Berkeley Fellowship NSF Graduate Research Fellowship C.V. Ramamoorthy Distinguished Research Award His work bridges theoretical computer science with real-world AI governance challenges, as demonstrated through MIT's participation in AI policy white papers. Current research directions include developing frameworks for transparent AI systems and addressing fundamental limitations in aligning recommender systems with human values through interdisciplinary synthesis.
Motahhare Eslami is an Assistant Professor at Carnegie Mellon University’s School of Computer Science, Human-Computer Interaction Institute. Her research bridges human-computer interaction, social computing, and AI ethics. Education : PhD in Computer Science from University of Illinois at Urbana-Champaign, advised by Karrie Karahalios Research Focus : Dr. Eslami investigates algorithmic opacity and user behavior in socio-technical systems, developing frameworks to enhance transparency and stakeholder participation in AI governance. Her work addresses: Algorithmic bias mitigation through participatory audits Ethical implications of generative AI and smart assistants Inclusion of marginalized communities in AI design Transparency mechanisms for opaque algorithms Civic technology and public sector AI Recent Article Trends : Her publications analyze algorithmic harms through lenses of: Medical imaging and data generation Labor market equity and low-wage employment Youth perspectives on AI ethics Content creator experiences with demonetization Explainability in black-box AI systems Scientific Recognition : Best Paper at AAAI HCOMP (2025) Google Academic Research Award (2024) Microsoft AI & Society Fellowship (2024) 100 Brilliant Women in AI Ethics (2023) Teaching Innovation Award at CMU (2023) Advising & Collaborations : Mentors PhD students Shixian Xie, Wesley Deng, Seyun Kim, and former post-doc Jaemarie Solyst. Collaborates with NSF AI Institute for Collaborative Assistance (2022–2027), Amazon, Google, and Microsoft on responsible AI initiatives.
Prof. Dr. Madalina Busuioc is a Full Professor of Public Governance at the Department of Political Science and Public Administration, Vrije Universiteit Amsterdam. She serves as Director of the Graduate School of Social Sciences and co-Director of the R&I Lab on Artificial Intelligence and Digital Governance. Her ERC-funded research explores public accountability in the AI era, with a focus on algorithmic governance and cognitive biases in administrative decision-making. She holds a PhD cum laude from Utrecht University (2010). Her research interests center on public power dynamics, algorithmic governance, and institutional accountability. Notable contributions include work on AI's impact on citizen-state interactions, reputational authority in bureaucracy, and regulatory oversight mechanisms. Her book European Agencies: Law and Practices of Accountability (Oxford UP) and peer-reviewed articles in Public Administration Review , Journal of Public Administration Research and Theory , and Governance highlight her scholarly impact. Teaching contributions include designing the MSc Public Administration: Artificial Intelligence and Governance program, which integrates technical and governance perspectives. Awards include the Haldane Prize (2016) and Fernand Braudel Fellowship (2021). She advises on AI policy through ancillary roles like membership in the Meijers Commission on international law. Her research projects address AI ethics, algorithmic accountability, and regulatory innovation. Recent work explores behavioral dimensions of human-AI collaboration in public services and the societal implications of AI adoption in administrative systems.
Antonio A. Casilli is a Professor of Sociology at Télécom Paris (Institut Polytechnique de Paris) and a researcher at the Interdisciplinary Institute of Innovation (i3) . He is an associate member of LACI-IIAC (formerly the Edgar Morin Center) at EHESS and serves as a Faculty Fellow at the Nexa Center for Internet and Society (Polytechnic University of Turin) since 2018. Research Focus: Digital labor, platform economy, AI ethics, and the social implications of technology Awards: Prix Étoiles de la SCAM, Prix Meilleur Documentaire de l'Année (Bangkok), selected as Nature Journal Top Science Pick His work analyzes how digital platforms reshape labor dynamics, privacy norms, and social inequalities. Recent studies explore global AI data work, including fieldwork in Latin America, Africa, and Europe. He advocates for ethical frameworks recognizing human labor behind automation. Media Engagement: Regular contributor to France Culture , Le Monde , Wired , and Rue89 . Authored En attendant les robots (2019) and Schiavi del clic (2020), investigating hidden digital labor structures.
Julia Ticona is an Assistant Professor at the Annenberg School for Communication and holds a secondary appointment in Sociology at the University of Pennsylvania. Her research examines how digital communication technologies shape precarious work, focusing on mobile phones, algorithmic platforms, and data-driven management systems affecting low-wage workers. She explores identity construction, inequality, and labor dynamics in the gig economy, including a book under contract with Oxford University Press titled *The Digital Hustle: Precarity Beyond Platforms*. Dr. Ticona earned her Ph.D. in Sociology from the University of Virginia (2016), an M.A. from the same institution (2011), and a B.A. from Wellesley College (2009). She has held postdoctoral roles at Data & Society Research Institute and is currently a Faculty Affiliate there and an Associate Fellow at the Institute for Advanced Studies in Culture. Her work appears in journals like *New Media & Society* and outlets such as *Wired* and *Slate*. Her research interests include digital labor platforms, algorithmic management, carework regulation, and the intersection of technology with inequality. She has contributed to legal advocacy, including an amicus brief for the U.S. Supreme Court case *Carpenter v. U.S.*. Her courses address digital inequalities, labor in the digital economy, and qualitative research methods. Her publications analyze topics like visibility regimes in domestic work platforms, contested governance on carework platforms, and strategies for coping with insecure digital labor. Her recent work critiques data colonialism and explores how technological systems exacerbate socioeconomic divides. Leveraging qualitative methods, Ticona’s scholarship bridges sociological theory with empirical studies of digital labor. She collaborates across disciplines to address systemic inequities perpetuated by technology, emphasizing worker agency and institutional accountability in platform economies.
Dr. Emilio Ferrara is a Professor of Computer Science & Communication at the University of Southern California, holding appointments in the Viterbi School of Engineering, Annenberg School for Communication and Journalism, and Keck School of Medicine. He serves as Associate Director of Applied Data Science at USC, Research Team Leader at the USC Information Sciences Institute, and Principal Investigator at the USC/ISI Machine Intelligence and Data Science (MINDS) group. His educational background includes a PhD in Machine Learning and BSc & MSc in Computer Science. Ferrara's research focuses on the intersection of artificial intelligence and computational social science, specifically using AI to model and predict human behavior in techno-social systems. His work spans social networks, machine learning, and network science with applications to understanding communication dynamics in digital environments. Ferrara has published over 150 articles in prestigious venues including Proceedings of the National Academy of Sciences, Communications of the ACM, and Physical Review Letters. His research has been widely featured in major news outlets and examines topics ranging from social media manipulation to AI ethics and online behavior. His scientific achievements have been recognized with numerous awards: 2019 Viterbi Scientific Award 2018 DARPA Director's Fellowship 2016 DARPA Young Faculty Award 2016 Complex Systems Society Junior Scientific Award 2015 IBM Watson Big Data Influencer Ferrara's research is supported by major funding agencies including DARPA, IARPA, Air Force, and Office of Naval Research. He leads the HUMANS LAB (Humans & Machines + Networks & Social Systems) which has trained numerous PhD students who have gone on to successful careers in academia and industry. His work on social bots, election integrity, and AI ethics continues to shape understanding of digital social dynamics.
Peter Druschel is a Professor and founding Director of the Max Planck Institute for Software Systems (MPI-SWS) in Saarbrücken, Germany. He holds adjunct professorships at Saarland University and the University of Maryland. His research focuses on distributed systems, operating systems, and privacy-preserving technologies. He earned his Ph.D. from the University of Arizona in 1994 and has held roles at Rice University since 1994, including Professor of Computer Science (2002–2005). Education: Ph.D. in Computer Science, University of Arizona (1994) Research Interests: Distributed systems, operating systems, network security, accountable computing, and privacy technologies. Current projects include privacy compliance in data systems (Thoth), secure communication (EbN), and privacy-aware image capture (I-Pic). Awards: SIGOPS Mark Weiser Award (2008) NSF CAREER Award (1995) Member of Academia Europaea and German Academy of Sciences Leopoldina Grants & Leadership: Leads the ERC Synergy Project imPACT, chairs the Max Planck Society’s Chemistry, Physics, and Technology Section, and collaborates with institutions like Cornell and Google. Advises on policy issues related to technology and privacy. Labs/Teams: Distributed Systems Group at MPI-SWS, collaborations with Microsoft Research and MIT. Current team includes students and postdocs working on privacy, security, and distributed systems.
Ge Tiffany Wang is an incoming Assistant Professor at the University of Illinois Urbana-Champaign, Department of Computer Science (starting Aug 2025), with research focusing on Human-Computer Interaction , Human-Centered Artificial Intelligence , and Usable Security & Privacy . She leads the OATS Lab (Openness, Autonomy, Trust in Supportive AI), which investigates how AI systems can better support user agency, particularly for vulnerable populations like children. Education : D.Phil. in Computer Science, University of Oxford MSc in Information Science, University College London BSc in Physics, University of Oxford Her research includes designing systems like CHAITok (for children's data control) and the KOALA Hero Toolkit (for educating families about data risks). She will complete a postdoctoral fellowship at Stanford HAI (2024-2025) before joining UIUC. Her work bridges technical design with ethical considerations, emphasizing child development and algorithmic accountability. Scientific Contributions : 15 most recent articles focus on decentralized social media, AI ethics for children, and data autonomy tools Key trends: algorithmic transparency, child-centered AI, and family data literacy
Asia J. Biega is a tenure-track faculty member (W2) at the Max Planck Institute for Security and Privacy (MPI-SP), where she leads the interdisciplinary Responsible Computing group. She is also a principal investigator of the Cluster of Excellence CASA and the FINDHR consortium. Her work sits at the intersection of computing and society, focusing on responsible computing, data protection & governance, and digital well-being within data-driven and AI-based systems. Dr. Biega's research spans multiple disciplines including computer science, law, philosophy, and social sciences. Her work examines how principles of responsible computing can be computationally operationalized, with particular attention to data protection frameworks, privacy technology governance, and digital well-being. She actively collaborates across disciplinary boundaries to make technical contributions while supporting research in other fields. Her approach combines theoretical rigor with practical applications, often drawing from her industry experience at Microsoft and Google. Her publication record reveals a strong focus on the intersection of fairness, privacy, and transparency in information retrieval systems. She has pioneered work on data minimization compliance, fair ranking algorithms, and user perceptions of data collection practices. Her research consistently bridges technical and legal perspectives, particularly examining how GDPR principles can be computationally implemented. Recent work shows increasing attention to generative AI governance, algorithmic hiring systems, and the relational aspects of data in recommender systems. Dr. Biega has received several prestigious awards including the Council of Europe's Rodotà Award for innovative research in data protection, the SaTML Notable Reviewer Award, the GI-DBIS Dissertation Award of the German Informatics Society, and recognition as one of the '100 Brilliant Women in AI Ethics' in 2025. She has advised numerous PhD students and postdocs who have gone on to faculty positions at institutions including the University of Trieste, Penn State, and the University of Washington. Her research is funded by the Max Planck Society, Alexander von Humboldt Foundation, and the European Union (Horizon Europe FINDHR). She serves as General Co-Chair for ACM FAccT 2025 and has held leadership roles in multiple academic conferences.
