Research & Development

The Trust Machines Lab focusses on trust-verification principles across two real world arenas: blockchain ecosystems and generative AI.

How trustable are Web3 economies but also the ways we can measure that? We study and assess the accessibility and viability of blockchain ecosystems. Here, we develop guidelines for viable token economies. We also use our findings in workshops to prepare participants for a career in Web3.

How is the implementation of LLM applications changing the ways we judge machines? AI assistants are the ones people turn to first to ask or get anything. We research the impact of trust-verification principles on individuals, organizations and societies. Here, we develop the principles of the Turing Test (past and present) further, assuming that today’s human-machine interactions need to be fundamentally reinterpreted and understood.

The general aim of our research is for people to thrive on our insights – whether to use LLM assisted products and services in better ways (users); or to build products, services and communities that thrive on openness, resilience, privacy, and distributed networks (builders).