
AI agents are moving beyond chat and into the economy — making decisions, negotiating, transacting, and interacting with other agents with increasingly little human involvement.
This session looks at some of the practical questions emerging as that happens: how do agents know who to trust, who is responsible when things go wrong, and can our existing economic and legal infrastructure keep up with transactions happening at machine speed?
The discussion will bring together people building and working around AI agents, crypto, payments, reputation, prediction markets, and decentralized infrastructure to explore what an economy run increasingly by machines could actually look like.
AI builders and researchers
Web3 and crypto builders
People working on agentic payments and infrastructure
Developers working on reputation, identity, and trust systems
Legal, policy, and governance practitioners
Anyone interested in where AI and the economy are heading
18:00 – 18:30 | Arrival + networking
18:30 – 19:00 | Opening remarks
19:00 – 19:45 | Session 1
19:45 – 20:30 | Session 2
20:30 – 21:00+ | Closing remarks + networking
Can You Trust an Agent You've Never Met?
How do agents know who is reliable? Is reputation more useful than identity? Can agents choose who to transact with based on past behaviour, and what evidence should an agent require before trusting another agent with money or resources?
When Your Agent Makes a Bad Deal, Who Pays?
Who is responsible when an agent makes a mistake or is exploited? What happens when an agent misunderstands its instructions, makes an irreversible decision, or two agents disagree over what happened?
Can the Economy Run at Machine Speed?
What happens when agents conduct millions of transactions that humans could never individually monitor? Can existing financial, legal, and governance infrastructure keep up — and can reputation systems update quickly enough to matter?

Kleros is the team behind Proof of Humanity, a decentralised dispute resolution protocol that uses blockchain and crowdsourced jurors to adjudicate disputes fairly, transparently, and affordably — powering applications across dispute resolution, oracles, prediction markets, enterprise, and the agentic economy.
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