Nicklas Berild Lundblad joins the TUM Think Tank as a Senior Fellow of Practice to develop a novel interdisciplinary framework for understanding how artificial agency transforms institutions, shapes human identity, and increases social complexity. 

Drawing on evolutionary theory and complexity science, the project will produce theoretical insights and practical governance approaches for societies navigating the emergence of artificial agents. This collaboration aims to bridge theoretical understanding with actionable policy guidance, contributing directly to more resilient and adaptive institutional designs in an era of rapidly evolving artificial agency. 

About the project

As digital technologies increasingly exhibit agency-like properties, the boundaries between human and artificial agency are becoming blurred—raising fundamental questions about institutions, identity, and governance. Despite rapid advances in AI, there is a growing need for robust conceptual frameworks that can help us understand how artificial agents shape, challenge, and transform complex social systems.

This Fellowship of Practice project at the TUM Think Tank aims to develop an interdisciplinary approach to artificial agency, drawing on evolutionary theory, complexity science, institutional economics, and the philosophy of technology. It investigates how artificial agents interact with human systems and how this co-evolution affects institutional dynamics, identity formation, and societal resilience.

Through theoretical groundwork, empirical case studies, and future-oriented policy development, the project seeks to provide practical governance tools and ethical frameworks for navigating the age of autonomous systems.

Project Focus Areas

  • Theoretical Foundations: Development of a conceptual framework distinguishing forms of agency (human, institutional, artificial) and their interactions within complex adaptive systems
  • Empirical Analysis: Case studies exploring how artificial agents impact institutions such as markets, legal systems, and democratic processes, as well as how they influence human identity formation
  • Policy & Governance: Creation of future scenarios, policy briefs, and ethical guidelines to support institutional design and decision-making in human-machine systems

 

The project will contribute to several of the TUM Think Tank’s key initiatives, including the Law & Tech Lab, the Government Innovation & Technology Initiative, the Civic Machines Lab, the Quantum Social Lab, and the Hemispheres Initiative, as well as cross-lab working groups in our international research network.

Nicklas Berild Lundblad

Nicklas Berild Lundblad is a globally recognized expert in technology policy and AI governance with over 25 years of experience at the intersection of technology, society, and public affairs.

Currently he is working with research, advice and investing. He most recently served as a Strategic Advisor at Google DeepMind, he has previously held leadership roles in public policy and government affairs at DeepMind, Google, and Stripe. As VP of Public Policy for EMEA at Google, Nicklas led teams navigating complex regulatory environments and worked closely with high-level stakeholders including EU institutions and national governments. He also founded Google’s policy foresight function.

He holds a PhD in Informatics with a dissertation on "Law in the Noise Society" and academic qualifications in ICT law, privacy, and philosophy. His scholarly interests include the governance of emerging technologies, the nature of complexity in regulatory systems, and the philosophical implications of artificial intelligence.

In addition to his policy work, Nicklas is the author of four books on technology and society, a former Adjunct Professor at KTH, a member of the Royal Academy of Engineering Sciences, and an Eisenhower fellow.

The Fellowship of Practice is carried out in a personal capacity.

Fellowship of Practice at the TUM Think Tank

The Fellowship of Practice fosters meaningful exchange between academia and society by embedding experienced practitioners in the work of the TUM Think Tank. Fellows collaborate with our labs and research initiatives, bridging theory and practice to address pressing societal challenges. The program supports evidence-based policymaking, interdisciplinary collaboration, and real-world impact.

Related Outputs

  • Research Journal

    The importance of now!

    Note 5: When working with foresight, one of the key things we have to do is to not forget that foresight has to start somewhere. The roots of the future are found in the now.

    30. Jul 2026
  • Research Journal

    Oracles

    Note 4: The history of foresight provides us with interesting insights into the mechanisms and dynamics that we can use to understand our relationship to the future today, and it also gives us useful hints on how we can design new foresight methods.

    23. Jun 2026
  • Research Journal

    The future of a decision

    Note 3: When working with foresight projects it quickly becomes apparent that what we focus on matters. Just focusing on the future in general is sometimes exciting, because it allows us to explore the broad spectrum of possibilities that tomorrow brings - but it also means that we sacrifice specific insights for broad brush perspectives.

    26. May 2026
  • Research Journal

    Invariances and trends

    Note 2: A lot of foresight is about forecasting trends, and with trends we mean change.  In all of our engagement with the future we most often begin asking “what is changing?”. The reason for this is straightforward: we want to prepare for that change, and try to understand how it will affect us, our organization and our future overall.

    08. May 2026
  • Research Journal

    Anticipation and prediction

    Note 1: This is the first note in a new series of research journal notes. This journal will be focusing on foresight and futures studies, and specifically on how we can update our methods and tools using different cognitive technologies.

    23. Apr 2026
  • Research Journal

    Towards agent ethology

    Note 11 from the research journal by Nicklas Lundblad:Finding new frames of study - new ways of exploring and investigating - is key to any field, and the more complex the object of study, the more important it becomes.

    22. Sep 2025
  • Research Journal

    Arguing in agent-based models

    Note 10 from the research journal by Nicklas Lundblad:In the work here so far we have mostly spoken about agents as a kind of interface and capability bundling of artificial intelligence, but the research project is also looking at things like institutions and agency, and in doing so the focus is more on what is called “agent-based modelling”(ABM).

    22. Sep 2025
  • Research Journal

    Design-principles for dyads

    Note 9 from the research journal by Nicklas Lundblad: As we moved from models to agents, we still retained the notion of a single, cohesive unit of intelligence to some degree.

    22. Sep 2025
  • Research Journal

    Killing Agents

    Note 8 from the research journal by Nicklas Lundblad: Wenn wir Agenten mehr Handlungsfähigkeit verleihen, müssen wir auch sicherstellen, dass wir über die Mittel verfügen, diese Handlungsfähigkeit zu beenden oder auf verschiedene Weise zu unterbrechen.

    22. Sep 2025
  • Research Journal

    Intelligence and its vital flaws

    Note 7 from the research journal by Nicklas Lundblad: As we design artificial agents (or delegates) one of the interesting challenges that we will have to sort out is to figure out how to decide mechanisms that ensure that the agent does not act in certain circumstances.

    22. Sep 2025
  • Research Journal

    Orchestrating intelligence

    Note 6 from the research journal by Nicklas Lundblad: The fact that splitting an AI into multiple personalities sometimes gives better results than just asking the AI itself is deliciously weird, until you realize that this is sort of how our intelligence works as well - both individually and collectively.

    22. Sep 2025
  • Research Journal

    Agents, worlds and hands

    Note 5 from the research journal by Nicklas Lundblad: Through the hand, the brain learns the affordances of the world—how objects resist, yield, or break—and refines its models accordingly.

    22. Sep 2025
  • Research Journal

    Delegation and duration

    Note 4 from the research journal by Nicklas Lundblad: Delegation and Duration

    22. Sep 2025
  • Research Journal

    After the web - the mesh: WAP, MCP and agentic architecture

    Note 3 from the research journal by Nicklas Lundblad: thoughts and questions on agents, agency and institutions

    22. Sep 2025
  • Research Journal

    Artificial apprentices

    Note 2 from the research journal by Nicklas Lundblad: thoughts and questions on agents, agency and institutions

    22. Sep 2025
  • Research Journal

    Stuff that wants stuff

    Note 1 from the research journal by Nicklas Lundblad: thoughts and questions on agents, agency and institutions

    22. Sep 2025

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