Objective 01
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provide spaces for discourse on AI
Objective 02
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understand how people worldwide perceive AI
Objective 03
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cross-nationally compare citizens’ perspectives
Objective 04
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derive policy recommendations
Nigeria – Japan – India – Germany – Mexico – Bolivia
The Global AI Dialogues are a workshop series that invites citizens around the world to engage, discuss, and contribute their perspectives on the topic of AI.
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The Global AI Dialogues are a dialogue series that invites citizens around the world to engage, discuss, and contribute their perspectives on the topic of Artificial Intelligence (AI). In addition to providing spaces for discourse, the Global AI Dialogues is an international research project comparing participants’ perspectives cross-nationally.
Participants discuss two streams of AI technology and their impact on people’s everyday lives: generative AI and Facial Processing AI. Generative AI can create new content like text or images based on user commands. A prominent example is the chat-based application ChatGPT. Facial Processing AI systems are systems that analyze facial images for identification or other purposes. These two streams of AI technology showcase the wide variety of AI systems and can exemplify the diversity of potential impacts on people’s everyday lives.
The goal is to better understand how people worldwide perceive AI and what effects it has on their everyday lives today and in the future. By providing spaces for citizens to exchange experiences and perspectives, we aim to enable discourses that overcome misleading narratives but are grounded in science-based evidence.
provide spaces for discourse on AI
understand how people worldwide perceive AI
cross-nationally compare citizens’ perspectives
derive policy recommendations
To conduct the dialogue events, we provide a comprehensive workshop structure: First, introductory talks on the technology are provided. Participant groups then try out the technology, discuss and assess the benefits and risks of specific AI technologies and evaluate whether the technology could be part of a desirable future. If so, participant groups consider stakeholders and their roles and formulate measures they would like to see implemented for the technology to be part of a desirable future society. Concluding, groups share their vision for the technology in the future and engage in joint discussions.
Dialogues took place throughout 2024 in Germany, Nigeria, Japan, India, Mexico, and Bolivia.
The project is initiated and coordinated by a team of researchers from the Chair of Cyber Trust at the Technical University of Munich. The team developed the dialogue framework and materials and assembled an international research team to conduct the dialogues and analyze emerging data in each country.
Jointly we form a diverse and interdisciplinary international research team composed of researchers from the following institutions: Elizade University, the University of Tokyo, the National Law University Delhi, the Universidad Popular Autónoma del Estado de Puebla (UPAEP), the Universidad Católica Boliviana, the Munich University of Applied Sciences (HM), and the Technical University of Munich.
Chiara Ullstein
Project Lead
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chiara.ullstein[at]tum.de
Michel Hohendanner
Project Lead
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michel.hohendanner[at]tum.de
Jens Grossklags
Principal Investigator
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jens.grossklags[at]tum.de
Before starting a dialogue event in a specific city, local partners recruit a sample of participants from the target country. This participant group forms our mini-public. At least one week prior to the event we send out informational material about the topics discussed at the event. This material is created together with experts and tailored to the local context.
During the dialogue, first, participants listen to short expert talks about the topics of the dialogue. Then, in groups of 4-7 people, participants discuss what a desirable future in light of respective technology (non-)deployment could look like guided by a facilitator. Participants explore possible consequences of technology (non-)application, risks, stakeholders, and measures. Concluding, groups jointly discuss their results.
STEP 01
STEP 02
STEP 03
STEP 04
STEP 05
Using a mixed-methods approach allows us to gain insights from workshop documentations as well as individual surveys conducted before, during, and after the dialogue process. Results are analyzed by an international research team, consisting of researchers from all local partner organizations.

LOCATION: TUM Think Tank
DATE: 27.07. & 26.10.2024
ORGANIZERS: Chair of Cyber Trust (Technical University of Munich), Munich Center for Digital Sciences & AI (HM)
LEAD:

Chiara Ullstein

Michel Hohendanner

Jens Grossklags

LOCATION: Vantage Hub
DATE: 17.08.2024
ORGANIZERS: Elizade University
LEAD:

Bukola Abimbola Onyekwelu
TEAM:
Olusola Babalola

LOCATION: The University of Tokyo
DATE: 24.08.2024
ORGANIZERS: Tokyo College of International Advanced Research Institute, Institute for Future Initiatives, Next Generation Artificial Intelligence Research Center, B’AI Global Forum (The University of Tokyo)
LEAD:

Arisa Ema
TEAM:
Amelia Katirai, Aimi Ozaki,
Jun Kuribayashi,
Tatsuya Daikoku

LOCATION: National Law University Delhi
DATE: 26.10.2024
ORGANIZERS: National Law University Delhi
LEAD:

Nidhi Singh
TEAM:
Nikhil Sharma, Srija Naskar, Shashank Mohan

LOCATION: Universidad Popular Autónoma del Estado de Puebla
DATE: 22.11.2024
ORGANIZERS: Universidad Popular Autónoma del Estado de Puebla
LEAD:

Cynthia Maria
Montaudon-Tomas
TEAM:
Gabriela Sánchez Bazán, Christin Schüler

LOCATION: Universidad Católica Boliviana
DATE: 07.12.2024
ORGANIZERS: Universidad Católica Boliviana
LEAD:

Jose Jesus Cabrera Pantoja

Naira Paola Arnez-Jordan
TEAM:
Indiana Karina Jordan-Barros
This is a wonderful initiative that should continue, and I really hope that a lot of improvements on AI could come from [it]
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Anonymous Participant | Nigeria 🇳🇬 | 22.11.2024
It helped a lot to read in the very beginning that knowledge of tech was not imperative to become a part of this workshop. It allowed me to participate confidently. I think that must be continued to ensure enthusiastic participation.
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Anonymous Participant | India 🇮🇳 | 26.10.2024
From my perspective working in AI-related fields, I felt there was a greater gap in AI literacy than expected, which made me realize the significance of this initiative. I also learned a lot.
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AI関連の仕事をしている立場から、AIリテラシーにおいて予想以上の差を感じ、この取り組みの意義を実感しました。勉強にもなりました。
Anonymous Participant| Japan 🇯🇵 | 24.08.2024
Thank you very much for this great civil commitment. It helps everyone to deal with such issues.
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Danke sehr für diesen großartigen zivilen Einsatz. Es hilft allen mit solchen Themen umzugehen.
Anonymous Participant | Germany 🇩🇪 | 26.10.2024
The exciting part is being able to participate with different types of people from society and know what they think.
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Muchas gracias, lo emocionante es podar participar con diferentes tipos de personas de la sociedad y sober que opinan
Anonymous Participant | Mexico 🇲🇽 | 22.11.2024
I hope and would like this to be applied in both rural and urban schools.
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Expero y quisiera tanbier que esto se apligue en los colegier tanto rurales como urbaner.
Anonymous Participant | Bolivia 🇧🇴 | 07.12.2024
ACM Conference on Human Factors in Computing Systems (CHI) 2025 (Author Version)
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