Upcoming Sessions

To be announced.

Previous Sessions

Panel Discussion The AI Act and Its Implications for the Media Sector

Date and time: Tuesday 23 January, 16.00-17.30
Location: Online

The EU’s Artificial Intelligence Act (AIA) will soon become a reality. On Friday, 8 December, a political agreement was reached. In addition to the AI Act’s main objective to harmonise standards for high-risk artificial intelligence systems, the recent popularisation of general-purpose AI (GPAI) across the world has led the EU legislator to add a new dimension to the regulation to reflect these developments. To uncover the implications of the AI Act for the media ecosystem, we will discuss questions such as: What does the AI Act’s risk-based approach mean for the media? What impact will the regulation have on journalistic practices – for example, in relation to using and procuring AItech? What do media consumers expect, and can the AI Act respond to their concerns? How safe is it to use generative AI from a copyright perspective, and how can media organisations protect their IP? Through an open dialogue, this discussion hopes to further practical and academic debate regarding the many implications the AI Act has for the media sector.

The AI, Media and Democracy Lab and AlgoSoc aim to bring together different legal and societal perspectives, including from research and practice. The format is interactive, with short pitches and plenty of room for questions and interaction. The event will be organised online.


Natali Helberger

Natali Helberger, co-founder of the AI, Media & Democracy Lab, scientific director of AlgoSoc, and KNAW member, is a Distinguished University Professor of Law and Digital Technology with a special focus on AI at the University of Amsterdam and a member of the board of directors of the Institute for Information Law (IViR), one of the leading information law institutes worldwide.

Sophie Morosoli

Sophie Morosoli is currently working as a postdoctoral researcher at the AI, Media and Democracy Lab. Her interest in AI and other emerging technologies deepened during her PhD, which focused on the individual dissemination of online misinformation. Within the Lab, she is exploring individuals ‘attitudes towards AI (in journalism) with a special focus on trust, risk perceptions, and authenticity.

João Quintais

João is an Assistant Professor at the Institute for Information Law. Starting with a focus on copyright law, João’s research agenda has developed along three research strands. First, he studies how intellectual property (IP) law applies to new technologies, from peer-to-peer networks, to streaming, hyperlinking, blockchain, and Artificial Intelligence (AI). Second, he examines the implications of copyright law and its (algorithmic) enforcement on Internet users’ rights and freedoms, on creators’ remuneration, and on technological development. Third, he assesses the role and responsibilities of large-scale platforms, especially in the context of algorithmic content moderation of user-uploaded illegal/harmful content.

Nicholas Diakopoulos

Nicholas Diakopoulos is an Associate Professor in Communication Studies and Computer Science (by courtesy) at Northwestern University where he directs the Computational Journalism Lab and is director of Graduate Studies for the Technology and Social Behavior PhD program. His research focuses on computational journalism, including aspects of automation and algorithms in news production, algorithmic accountability and transparency, and social media in news contexts. He is the author of the award-winning book, Automating the News: How Algorithms are Rewriting the Media, published by Harvard University Press.

Agnes Stenbom

Agnes Stenbom is the founder and head of IN/LAB – Schibsted and the Tinius Trust’s joint innovation lab focused on prototyping news futures for current news outsiders. Her work is dedicated to ensuring responsible use of AI technologies in the media sector. In addition to this, she is also an industrial PhD candidate at KTH Royal Institute of Technology with a project on AI and journalism. She is the co-founder of the industry network Nordic AI Journalism and currently leads a Swedish industry collaboration on AI-transparency.

More (industry) panelists t.b.a.

Meet New Methods: Measurement Across the Sciences (on-site)

Date: 31 October 2023
Time: 15:30 -17:00
Location: Oude Turfmarkt 145-147
Room: Sweelinck Room

“Meet New Methods” is a series of interdisciplinary sessions hosted by the AI, Media & Democracy Lab at the Institute of Advanced Studies (IAS). It aims to multiply frames of reference and encourages the exchange of methodological approaches by connecting researchers of various disciplines. The intersection and combinations of cross-disciplinary methodologies allow for critical perspectives and thinking outside the box, opening doors to advance research in the field of AI.

In the third installment of “Meet New Methods”, the AI, Media and Democracy Lab invites IAS fellow Jolien Francken and their own PostDoc Kimon Kieslich to discuss methodologies of their respective research projects. Jolien Francken is concerned with the measurement problem, which arises both within disciplines and in interdisciplinary research. It describes the problem that appears when defining and translating key concepts and terms across various contexts, which becomes especially apparent in research that crosses disciplinary lines. Situated in Medicine, Cognitive Neuroscience, and Philosophy, Jolien aims to smooth out interpretational and translational bumps created by the measurement problem. Kimon Kieslich uses various methodologic approaches in his research and thus has encountered the measurement problem, although he might not define it as such.  He will discuss how to approach translating discipline-specific methodologies to fit interdisciplinary research questions in his projects, with specific regard to fairness of AI. 

About the Speakers

Jolien Francken

Jolien Francken is an Assistant Professor in Philosophy of Mind and Neuroscience and a fellow at IAS. She obtained her PhD ad the Donders Institute for Brain, Cognition and Behavior in Nijmegen, and worked as a post-doctoral researcher and senior lecturer in Neurophilosophy at the University of Amsterdam, the Conscious Brain Lab, and Institute for Interdisciplinary Studies. Her research aims to bridge gaps left by the measurement problem in cognitive neuroscience and advance the translation of its experimental findings.

Kimon Kieslich

Kimon Kieslich is a postdoctoral researcher and member of the AI, Media and Democracy Lab. He is involved in the Anticipating AI impact in a Diverse Society  project at the Institute for Information Law at the University of Amsterdam, with a current research focus on developing methods for assessing the societal impact of AI systems and regulations. His PhD project at the Institute for Communication Studies at the University of Hohenheim dealt with the public perception of AI ethics.

There are limited spots available. If you wish to register for this event, please send an email to

Meet New Methods: Platform Research (on-site at IAS)

Date: 20 June 2023
Time: 15:30 -17:00
Location: Oude Turfmarkt 145-147
Room: Sweelinck Room

The AI, Media & Democracy Lab is hosting a series of interdisciplinary sessions at the Institute of Advanced Studies (IAS) called ‘Meet New Methods’. Interdisciplinary research requires researchers to break disciplinary walls on the methodological level, and think outside the box: How can they bridge the language gap between their respective disciplines? How do they come to understand and use methodologies outside of their ‘traditional’ area of application? In what ways can they combine methodologies from different disciplines? This series will focus on the methodologies that underpin interdisciplinary research, and more specifically, research that aims to contextualize the impact of new technologies.

Interdisciplinary research plays a crucial role in generating valuable insights into the opportunities and repercussions of platforms, particularly in the context of platformisation. The penetration of economic processes and governmental frameworks into the web and app ecosystems creates both new possibilities for cultural producers, including revenue and finding new audiences, but also dependencies on a few powerful platform corporations such as Google, Apple or Amazon. What methodologies are needed for interdisciplinary research to gain insights into the transformative nature of platformisation?

In this second session, we will be joined by David B. Nieborg to discuss the methodological challenges he is confronted with while researching platforms. With a background in digital games, Nieborg will explore the methodology needed to uncover institutional changes when cultural and media production become platform dependent, for example by conducting case studies on market leading platform ecosystems over several years. Next, our lab colleague Theresa Seipp will share her methodology for investigating how digital platforms influence opinion formation and become active political actors, thereby wielding opinion power. The session will begin with presentations by Nieborg and Seipp, followed by a dedicated question and discussion period. This session will be held at IAS.

About the speakers

David B. Nieborg

David B. Nieborg is Assistant Professor of Media Studies at the University of Toronto. He holds a PhD from the University of Amsterdam and held visiting and fellowship appointments with MIT, the Queensland University of Technology, and the Chinese University of Hong Kong. David published on the game industry, apps and platform economics, and games journalism in academic outlets such as New Media & Society, Social Media + Society and Media, Culture and Society. He is the co-author of Platforms and Cultural Production (Polity, 2021).

Theresa Seipp

Theresa Seipp is a PhD candidate at IViR (Institute for Information Law, UvA) researching the impacts of AI in the media sector, and a member of the AI, Media and Democracy lab. During her Master degree (LL.M.) in International Business law at Ghent University, she focused on European Media law and was part of the team for the Price Media Law Moot Court Competition at Oxford University. Previously, Theresa worked in the field of European data protection law and most recently researched at the Leibniz-Institute for Media Research, Hans-Bredow-Institute in Hamburg (GER), on topics related to EU media law and regulation and the use of AI and automation tools in journalism.

Discussion series about Generative AI ‘The impact we generate’

March 21, April 18 & May 30 2023 at 16:00

In recent months, increased media attention has been given to AI-driven applications like Stable Diffusion, Dall-E, GPT-3, ChatGPT and Bard. These programmes are commonly referred to as Generative AI: technologies that learn from existing data in order to produce new content, including audio, (realistic) images and art, chat, text and code. Though these technological innovations have sparked renewed enthusiasm and interest for the field of AI, their potential to disrupt and transform has also been met with concern.

In an effort to demystify the use of Generative AI, the AI, Media and Democracy Lab is organising a series of events that will explore and discuss the pitfalls and possibilities of the technology’s transformative impact on the media and journalism industries: How can the sector reap the benefits of artificially created content in line with the industries’ values, such as personal creativity, autonomy, user agency, transparency, objectivity, diversity, trust and authenticity?

Discussion #3 | Disinformation and Generative AI

Date and time: Tuesday 30 May, 16.00-17.30
Location: Online

News media and journalism perform a key democratic function: they act as a public watchdog and offer citizens a platform to impart, seek and receive information and engage in public and political dialogue. Does the integration of Generative AI in the media value chain affect the various societal functions news media and journalists perform? And could this alter social dynamics present in society, including how people and groups of people participate, engage and interact with one another? 

In this final session, we explore one specific democratic threat, which is the (purposeful) use of generative technologies risk to intensify the manufacturing and dissemination of mis- and disinformation. In late March, faked arrest pictures of Donald Trump became a viral sensation. Though these images were quickly identified as having been produced by Generative AI, they also showcased these technologies’ negative potential: not only were these images life-like, but they also tapped into feelings of civil unrest regarding the state of democracy and modern-day politics. As we enter the generative information age, these images serve as a warning call. Through a process of deconstruction, this session investigates how generative technologies operate and how their deployment might challenge media and journalism industries in their ability to scrutinise the truthfulness of news content.


Sophie Morosoli

Sophie Morosoli is a postdoctoral researcher at the AI, Media and Democracy Lab. Her research focus within the lab revolves around studying the impacts and applications of AI from the user perspective. Previously, Sophie pursued her doctoral studies at the University of Antwerp, where she was affiliated with the research group Media, Movements and Politics (M²P). Her doctoral dissertation delved into both the invididual motivations behind spreading of disinformation, and the effect this phenomenon has on a larger scale.


Pascal Wiggers

Pascal Wiggers is Associate Lector Responsible Artificial Intelligence (AI) at the Amsterdam University of Applied Science (AUAS). He leads the Responsible Artificial Intelligence Lab, which is dedicated to conducting practice-based research on the effects of AI on individuals, society, and ethics. The team focuses on the design and development of responsible AI systems that align with public values and contextual considerations. They actively engage in constructing and, at times, deconstructing AI technologies to gain a deeper understanding of their implications. By doing so, they aim to develop responsible alternatives that address the shortcomings of existing AI technology. Pascal obtained his PhD at TU Delft in 2008 with the thesis “Modelling Context in Automatic Speech Recognition”.

Giovanni Zagni

Giovanni Zagni, PhD, is the Director of the Italian fact-checking projects Pagella Politica and He is a member of the Executive board of the European Digital Media Observatory (EDMO). EDMO brings together fact-checkers, media literacy experts, and academic researchers to understand and analyse disinformation, in collaboration with media organisations, online platforms and media literacy practitioners. He is also on the executive board of the MSI-INF Committee of Experts on the Integrity of Online Information, established in 2022 by the Council of Europe.He served as a member of the Monitoring Unit on Disinformation around Covid-19 established by the Italian government in 2020.

Jeroen de Vos

Jeroen de Vos (MA) is an internet and market researcher specialized in both online and offline research. He has a background in media studies & cultural anthropology and is currently working on socially driven projects both inside and outside education. He combines online internet research with offline qualitative interviews to map social discussions. Jeroen is a researcher at the Lectorate Creative Media for Social Change of the Amsterdam University of Applied Science (AUAS), where he is part of a project that researches and develops a new form of media literacy to counter disinformation.

Discussion #2 | News Media and Generative AI

Date and time: Tuesday 18 April, 16.00-17.30
Location: Online

For our second session, we will explore the practical challenges of Generative AI for news media. How does the integration of Generative AI benefit and challenge the various phases of news reporting, including news gathering, production, distribution and interaction? Will the technology drastically alter the process as well as the product of news media and journalism, and if so, which technological characteristics play a central role as part of this transformation? The media landscape is not unfamiliar with digital change and disruption. The arrival of the Internet, the growth and popularity of crowd-sourcing websites and social media platforms and the emergence of data analytics have equally challenged the way news is provided and consumed. Even more so, the concerns news media face today (e.g., the need to verify the reliability of AI-generated information and the creative relationship between journalists and AI) sound awfully familiar to those experienced previously. Even in the case the issues raised by generative AI are truly distinctive (are they?), the industry may nonetheless draw from the lessons it has learned from the past.

The AI, Media and Democracy Lab aims to bring together different legal and societal perspectives, including from research and practice. The format is interactive with short pitches and plenty of room for questions and interaction. The event will be organised online.


Nick Diakopoulos

Nicholas Diakopoulos is an Associate Professor in Communication Studies and Computer Science (by courtesy) at Northwestern University where he is Director of the Computational Journalism Lab (CJL) and Director of Graduate Studies for the Technology and Social Behavior (TSB) PhD program. He is also an Associate Professor II at the University of Bergen Department of Information Science and Media Studies and is on sabbatical as a visiting researcher at the University of Amsterdam IVIR during the 2022-23 academic year.


Aimee Rinehart

Aimee Rinehart is the program manager for the Associated Press (AP) Local News AI initiative, which aims to narrow the growing technology gap between national and local newsrooms. The program will distribute a national “scorecard” to assess AI readiness, provide free online courses to address knowledge gaps, and consult with newsrooms to integrate AI across their operations.

Hannes Cools

Hannes Cools is a post-doctoral researcher both at the AI, Media, and Democracy Lab and at the Digital Democracy Center. He holds a doctoral degree on AI and news from the Faculty of Social Sciences at the University of Leuven and a MA degree in International Politics of the University of Ghent in Belgium. His research interests include AI, computational journalism, and news recommender systems.

David Caswell

David is a former Executive Product Manager of News Labs. He previously managed data products at the Los Angeles Times Media group, and was Director of Product Management for content understanding at Yahoo!. He has also researched structured and automated journalism as an RJI Fellow at the Missouri School of Journalism, and has developed structured knowledge systems for intelligence applications. He is particularly interested in exploring sustainable models for news in the digital communications environment.

Mathias Felipe de Lima Santos

Mathias-Felipe de-Lima-Santos is a postdoctoral researcher in the RPA Human(e) AI at the University of Amsterdam, Netherlands. Previously, he was a researcher at the University of Navarra, Spain, under the JOLT project, a Marie Skłodowska-Curie European Training Network funded by the European Commission’s Horizon 2020. He was also a Visiting Researcher at the Queensland University of Technology (QUT) in Brisbane, Australia. Mathias-Felipe is co-editor of the book “Journalism, Data and Technology in Latin America” published by Palgrave Macmillan in 2021. His research interests include the changing nature of communications driven by technological innovations, particularly in journalism, media, and online social networks. 

Discussion #1 | Legal Aspects of Generative AI

Date and time: Tuesday 21 March, 16.00-17.30
Location: Institute for Information Law (IViR) or online

In this first panel discussion, we will dive into legal and governance aspects regarding the technology’s proliferation, and its impact on media industries. Drawing from a variety of legal fields, we will attempt to formulate answers to pressing industry, social and public policy questions, including: How to protect the rights and interests of creators and should AI-generated content be protected (intellectual property)? How to ensure fair access, competition and choice in the market for Generative AI (competition law)? Is it okay to train large language models on personal information collected from publicly accessible (online) resources or during user-interaction (privacy and data protection law)? How to address the presence of bias and prejudice in AI-produced content (equality and non-discrimination law)? When is Generative AI high risk and subject to more stringent regulation (AI law)?  At the same time, the question must be raised: are these technologies all that revolutionary, or do they present familiar questions and dilemmas in renewed ways? Through an open dialogue, this discussion hopes to further practical and academic debate regarding the responsible deployment of Generative AI in media and journalism and help establish a legal research agenda for doing so.

The AI, Media and Democracy Lab aims to bring together different legal and societal perspectives, including from research and practice. The format is interactive with short pitches and plenty of room for questions and interaction. The event will be organised in a hybrid format. Physical attendance is limited to 20 participants, and will be administered on a first-come, first-served basis.


Ot van Daalen

Ot van Daalen is a researcher and lecturer in the field of privacy and security at the Institute for Information Law. He is also an attorney at Root Legal. Previously, he worked at the Dutch Data Protection Authority and founded the Dutch digital rights movement Bits of Freedom.

Viktorija Morozovaite

Viktorija Morozovaite is a PhD candidate at Utrecht University, School of Law, member of the Renforce research group and Governing the Digital Societies Focus Area. Her research focuses on examining user-influencing practices, such as hypernudging, from the perspective of European competition law and EU’s emergent digital policy on regulating digital markets. Her research is part of the fulfilment of Modern Bigness ERC project, under leadership of Anna Gerbrandy. Viktorija is a former Wirtschaftskammer Steiermark Fellow at the University of Graz and a former visiting scholar at the Annernberg School for Communication at University of Pennsylvania.

Natali Helberger

Natali Helberger, KNAW member, is Distinguished University Professor of Law and Digital Technology with a special focus on AI at the University of Amsterdam and a member of the board of directors of the Institute for Information Law (IViR). She co-founded two Research Priority Areas at the UvA: Information, Communication, and the Data Society and Human(e) AI – university-wide research programs and hubs for researchers from the social sciences, humanities, and computer science to advance a societal perspective on AI. In 2021, Natali co-founded the AI, Media & Democracy Lab.

Martin Senftleben

Martin Senftleben is Professor of Intellectual Property Law and Director of the Institute for Information Law (IViR) at the Amsterdam Law School. His activities focus on the reconciliation of private intellectual property rights with competing public interests of a social, cultural or economic nature. Current research topics include institutionalized algorithmic copyright enforcement in the EU, the interplay between robot creativity and human literary and artistic productions, the preservation of the public domain of cultural expressions, and the impact of targeted advertising on supply and demand in market economies.

Naomi Appelman

Naomi Appelman is a PhD researcher at the Institute for Information Law (IViR) interested in the role of law in online exclusion, speech governance, and platform power. Her interdisciplinary research combines information law, specifically, online speech and platform regulation with (agonistic) political philosophy. More concretely, her research asks how European law should facilitate contestation of the content moderation systems governing online speech. The aim of facilitating this contestation is to minimise undue exclusion, often of already marginalised groups, from online spaces and democratise the power over how online speech is governed. Her PhD is part of the Digital Transformation of Decision-making project and the Digital Legal Studies sectorplan. She was a visiting researcher at the Humboldt Institute for Internet and Society. Connected to her PhD research she has co-authored several reports and papers on the topic of online speech regulation and automated decision-making. Finally, Naomi has previously done volunteer work at the Dutch digital rights NGO Bits of Freedom and is one of the founders of the Racism and Technology Center.

Philipp Hacker

Prof. Dr. Philipp Hacker, LL.M. (Yale), holds the Chair for Law and Ethics of the Digital Society at the European New School of Digital Studies (ENS) at European University Viadrina Frankfurt (Oder). In 2021, he was a Research Fellow at Weizenbaum Institute Berlin. Prior to joining ENS, he served as an AXA Postdoctoral Fellow at the Faculty of Law of Humboldt University of Berlin; a Max Weber Fellow at the European University Institute, and an A.SK Fellow at WZB Berlin Social Science Center. His research focuses on the intersection of law and technology. In particular, he analyzes the impact of AI and the IoT on consumer, privacy, anti-discrimination, and general regulatory law. He often cooperates with computer scientists and mathematicians, especially on questions of explainable AI and algorithmic fairness.