Roughly a year ago, the citizens' council "AI and Freedom" met and exchanged views on the role society could play in AI-research and the support of it. Additionally, they discussed the way AI influences our individual and societal freedom.
To the RHET AI Center and especially the Unit 4 (Public Engagement, responsible for the idea and organisation of the citizens' council "AI and Freedom"), this council was an important project, not only in its execution but also in its preparation and the subsequent debriefings.
We interviewed a few colleagues who were involved in various ways in the initial idea and later execution of the citizens' council about their experiences regarding the project. By answering 3 questions, they are allowing us a glimpse into one central topic each which encapsulated them during the process, based on their expertise and their learnings following the course of the project as well.
Today, our series continues with Anika Kaiser (RHET AI Center Unit 4) who talked to us about epistemic injustices.
Interview with Anika Kaiser

Anika Kaiser is currently pursuing her PhD at the RHET AI Center and is working in Unit 4. Her focus lies on knowledge-building processes and epistemic injustice in deliberative formats.
She conducted her research in conjunction with the Citizens' Council "AI and Freedom." In this light, we asked Anika Kaiser about the relationship between epistemic injustice and citizens' councils:
What are epistemic injustices and what role do they play in participatory formats?
Anika Kaiser: Epistemic injustice is a concept coined by Miranda Fricker. It describes why people with certain characteristics systematically have problems successfully participating in collective knowledge-building processes. In democracies based on the principle of equality, for example, this initially constitutes an injustice. However, in addition to being an injustice to certain groups, this injustice also damages entire social or institutional knowledge systems: if the knowledge contributions of certain groups are systematically not or poorly 'absorbed' by the system, this leads to distortions and gaps in what a system agrees upon as its valid knowledge base. The perpetuation of epistemic injustice also means that the tools and resources used to generate knowledge in these systems are and remain unsuitable for articulating and interpreting some contributions to knowledge.
Among other things, mini-publics are based on the premise that, due to their diverse composition, they achieve results that benefit as many different social groups as possible, or at least are accepted by them. For this reason, a great deal of financial and organizational effort is invested in randomly selected citizen forums in order to assemble such a diverse advisory group. And to ensure that the diverse participants are not only present but can actually contribute effectively with their different views and experiences, these formats place increased demands on the quality of discourse.
Although there are still differences of opinion about the exact criteria and their prioritization, there is fundamental agreement that participation in joint decision-making should be free and fair. If epistemic injustices are effective or poorly addressed in citizens' councils, this naturally greatly limits the quality of discourse—and thus also the results and legitimacy of the entire format.
How can epistemic injustices be addressed? Can epistemic "justice" be achieved within the framework of a citizens' council?
Anika Kaiser: I actually try to avoid the term "justice" as much as possible, as it quickly becomes very complex in theoretical terms. I use "epistemic injustice" quite neutrally as a concept to describe mechanisms of exclusion for marginalized groups and to make them examinable in practical fields. In the theoretical part of my dissertation, I look at these 'injustices' not primarily with the aim of establishing justice, but from the perspective of participatory science communication, whose concern is, among other things, to maximize the mutual gain of knowledge for science and society. My pragmatic goal is therefore to limit epistemic damage in knowledge systems, whether that be the knowledge society as the foundation of our democracy or a knowledge institution such as the university.
What can be done in the Citizens' Council is, first of all, to raise awareness that bias is sometimes unavoidable. Fricker suggests the "virtue of testimonial justice" as a solution, but I have my doubts about the feasibility of this virtue. In communication situations, bias is not only a disadvantage, but also contributes to information processing and selection. It is very difficult to eliminate.
What is nevertheless worthwhile is a basic attitude in which we first assume that the knowledge space we know is incomplete and that we are therefore dependent on additions from others. I would therefore argue in favor of choosing approaches that relate to the communication situation rather than cognitive approaches. The keyword for organizers is then above all "agility": continuously create opportunities for feedback and adjustments to individual needs. In addition, it is important to recognize that opportunities for articulating and interpreting experiences have generally been shaped by a dominant norm. In order to also accommodate participants who do not conform to this norm, alternative channels of communication can be created. For example, through images, gestures, dance, neologisms, drawings, sounds, sign language, etc. However, since this is always a question of cost and it can be really challenging to put everything in place as a precautionary measure, I think an agile, needs-based approach is the obvious choice here too.
What did the Citizens' Council "AI and Freedom" show you about future approaches to addressing epistemic injustice?
Anika Kaiser: In strategic communication, 'anticipatory audience calculation' plays a very central role. This means considering the characteristics and needs of the recipient in order to tailor communication accordingly. The theoretical field of epistemic injustice has made me very aware that such assumptions guiding our actions can also be very prejudiced. Since then, I think I have become somewhat more skeptical of my own assumptions and more open to what my counterpart reveals about themselves, both in terms of content and form. This applies both in my personal life and in my academic work.
For example, in the Citizens' Assembly questionnaires, I asked about various characteristics, including relationship status. It seemed logical to me that people whose partners had passed away were no longer in a relationship and were therefore single. That is why I did not offer a separate category for widowed people. When evaluating the questionnaires, it became apparent that the question about relationship status had been left unanswered in several cases and that the item "widowed" had been added manually. I can only speculate here that people do not relate the status "widowed" solely to the fact that their partner died, but that they also feel that this puts them in a special relationship status that differs so greatly from "single" and "married" that they feel their own situation is incompatible with these categories.
This example clearly shows that even in science, interpretive resources and tools must be examined for their underlying assumptions. And indeed, there is evidence in my field of research that the loss of loved ones can change one's views in an exclusive way that is difficult for people without such loss experience to understand. I therefore conclude that, where possible, I should create space in my research instruments for such feedback on category errors.
Many thanks to Anika Kaiser for these insights into her research in connection with the Citizens' Council "AI and Freedom."
We are also pleased to announce the next interview in this series: We interviewed Oliver Häußler (University Communications, University of Tübingen) on the topic of communication surrounding the Citizens' Council. Click here for the interview with Oliver Häußler.
And if you would like to read the first interview in this series: Patrick Klügel (RHET AI Center Unit 4, Public Engagement Manager at the University of Tübingen) started the series, and we asked him about expectation management. Click here for the interview.
About the citizens' council "AI and Freedom"
In September 2024, 40 randomly drawn people from Baden-Württemberg met in the context of the citizens' council "AI and Freedom" in 4 council meetings, discussing with each other and various AI-experts. Some topics of their discussion were: What could the role of society in AI-research and the support of this research look like? How does AI influence our individual and societal freedom?
Based on their diverse perspectives and opinions, the citizens came up with precise recommendations regarding publicly funded research and science-politics. These can be understood as food for thought from which a more in-depth discourse can follow.
The recommendations were handed to the Ministry of Science, Research and Arts of Baden-Württemberg (MWK) as well as the Cluster of Excellence "Machine Learning: New Perspectives for Science" at the University of Tübingen and the Cyber Valley Public Advisory Board in form of a Policy Paper.