Mediating machines

Opportunities and Challenges of Artificial Intelligence (AI) in Peacemaking

About the project

In today’s technologized world, efforts to end armed conflict through mediation are increasingly shaped by digital technologies. While peacemaking traditionally has been considered a human-centered activity, negotiations are often supplemented with online activities. Social media has come to change the landscape of conflict, with conflict parties and stakeholders pro-actively using different online platforms to make their voices heard. The digitization of peace processes produces large amounts of data, which cannot be sufficiently analyzed using conventional means.

Artificial Intelligence (AI) offers opportunities to develop tools that could support mediators and their teams in gathering and analyzing the data produced in the context of peace processes. Although the topic of AI has come to receive increased attention in the field of peace mediation, there is a lack of concrete examples and applications that could bring discussions forward. This project will therefore explore the ways in which AI-applications could be used in peacemaking, while raising important questions about potential challenges these applications might pose.

In particular, the research will analyze how AI can support the analysis of arguments and opinions voiced by conflict parties and stakeholders in digital data. To this end, the project builds on recent advances in text-mining of online participation processes.

This project is conducted by researchers at the Centre on Conflict, Development and Peacebuilding (CCDP), Graduate Institute of International Development Studies, Geneva (IHEID), the Karlsruhe Institute of Technology (KIT), the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation (IOSB), Universität Düsseldorf and SwissPeace.

The project is funded by the Artificial Intelligence and the Society of the Future Initiative of the Volkswagen Foundation.

Project activities

Workstream 1

Mediators' Needs and Ecosystems

The team will analyze the practical needs and potential strategic purposes of AI in mediation support, as well as the organizational and technological ecosystems in which AI tools could be embedded. We will examine existing efforts to create AI applications for mediators and explore how argument data could be used by mediators to assess dynamics of negotiation.

Workstream 2

Data and Methods

The team will discuss the methodological and data requirements of AI-supported argument analysis. We will look at options for transparent and explainable AI and related questions of inference methods. The team will also identify and analyze various data sources for machine-supported argument analysis, including data derived from social media and other digital inclusion efforts.

Workstream 3

Output Visualisation

The team will identify data visualization techniques that can help integrate AI outputs into mediators' workflows and decision-making processes. This includes geographic visualization and graph-based techniques graph-based techniques. We will also explore the prospects of creating visual data mining tools that present multiple perspectives on the data through several visualization styles and interactive data analysis.

Project updates

17 June 2020

Why Machine-supported Analysis Matters for Digital Inclusion

Until recently, mediators tended to think about their work as a "human-centered" activity. Facilitating negotiations between conflict parties was something that would occur predominantly offline – ideally, behind closed doors and in a technology-free environment. The 2020 global COVID-19 pandemic has radically changed this view. Due to lockdowns and global travel restrictions, many mediators and…

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11 May 2020

Arguing for Peace? What Argument Analysis Can Offer to Peace Mediation

The peace mediation literature seems to have relatively little to say about arguments. A quick google scholar search with keywords such as “mediation” and “arguments” or “arguing” does not yield a single match that would be relevant to the mediation of armed conflicts. Research on mediation seems more concerned with understanding factors that could impact mediation efforts, such as conflict type…

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20 April 2020

Share your insights!

The research team is currently conducting a needs assessment among mediators and mediation experts. Please get in touch if you would like to provide your insights and ideas!

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20 April 2020

CCDP joins the Cybermediation Network

In April 2020, the Centre on Conflict Development and Peacebuilding (CCDP) joined the Cybermediation Network. The CDDP will be represented by Andreas Hirblinger. The Network succeeds the CyberMediationInitiative, which comprised the United Nations Department of Political and Peacebuilding Affairs, the Centre for Humanitarian Dialogue (HD), DiploFoundation, and swisspeace. In addition to these…

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20 April 2020

Project website launched!!

We are happy to see our project website online! In the next weeks and months, we will use this space to share important updates and insights, as well as announce opportunities for collaboration!

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Research team

Andreas Hirblinger

Dr. Andreas Hirblinger has broad expertise on inclusive peacemaking and peacebuilding. He conducts research on knowledge production, digital inclusion and the use of technology in peace processes at the CCDP, Graduate Institute, Geneva.

Laurent Goetschel

Prof. Laurent Goetschel is the Director of swisspeace, and the director of the Basel Peace Forum, which strives to bring the innovation and peacebuilding fields closer. He is also a professor of political science at the University of Basel.

Ahmed Eleiba

Ahmed Eleiba is the senior program officer for Mediation at swisspeace. He also represents swisspeace in the CyberMediation initiative, which focuses on the role of social media and digital technologies in peace mediation. 

Tamara Mchedlidze

Dr. Tamara Mchedlidze is an expert in graph algorithms and network visualization, and has constructed visual representations of online participatory processes.

Gregor Betz

Prof. Gregor Betz specializes in reason and argumentation theory, opinion and argument maps, in addition to the application of digital technologies in argumentation.

David Lanius

Dr. David Lanius’ areas of expertise include argumentation analysis, argument theory and argumentation reconstruction. He is particularly interested in analyzing the use of alternative facts or “fake news” in populist debates.

Alexey Pak

Dr. Alexey Pak is an established researcher with a background in theoretical physics. His areas of expertise include practical machine learning techniques, including ANNs and Bayesian models.

Stefan Conrad

Prof. Stefan Conrad has expertise in machine learning and natural language processing, with a particular focus on argument mining of online participatory processes.

Michael Färber

Dr. Michael Färber’s research expertise includes natural language processing, machine learning and semantic web. His current focus is on scholarly data mining, scholarly recommender systems and knowledge graphs.

Background readings

Hirblinger, Andreas

Designing Digital Inclusion in Peacemaking

Arguments can be collected and analyzed as part of inclusive peacemaking efforts. Digital technologies play a key role in facilitating such processes. The most important insights from the "Designing Digital Inclusion" Project, conducted at the Graduate Institute of International Development Studies. The full text is available here.

Höne, Katharina

Mediation and Artificial Intelligence:Notes on the Future of International Conflict Resolution

Artificial Intelligence plays an increasing role in Cybermediation and Digital Peacemaking. This report by the DiploFoundation provides an overview of the current debate on the use of Artificial Intelligence in Peace Mediation. The full text is available here.

Lippi, Marco and Paolo Torlinie

Argument Mining: A Machine Learning Perspective

Understanding arguments often requires the analysis of large amounts of text data. This paper dicusses options, problems and challenges for machine-learning supported argument mining. The full text is available here.

Betz, Gregor, Tamara Mchedlidze, et al.

Applying argumentation to structure and visualize multi-dimensional opinion spaces

Visualization is critical for understanding arguments. This paper discusses options to visualize large scale, multi-dimensional opinion spaces, based on formal argumentation theory. The full text is available here.

Conrad, Stephan et al.

Text Mining für Online-Partizipationsverfahren: Die Notwendigkeit einer maschinell unterstützten Auswertung

Text mining and argument mining have been sucessfully explored in other participatory political processes, for instance in the context of large infrastructure projects. This article summarises important lessons learned from Germany. The full text is available here.

Related initiatives

UN Peacemaker Digital Toolkit

Online resource on digital technologies, provided by the United Nations Mediation Support Unit (MSU).

https://peacemaker.un.org/digitaltoolkit

Digital Inclusion in Peacemaking

Research project conducted at the Centre on Conflict, Development and Peacebuilding (CCDP), Graduate Institute of International and Development Studies, 2020.

http://digitalpeacemaking.com