Can open protocols give journalism a fighting chance in the age of AI agents?

Can open protocols give journalism a fighting chance in the age of AI agents?


Data

Ven 17 aprile 2026

Ora inizio

17:00

Ingresso

Gratuito

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Since Anthropic introduced the Model Context Protocol (MCP) in late 2024, it has rapidly become a foundational standard for building AI agents that can securely call external tools and data. Thousands of start-ups are now building on top of MCP. Newsrooms, by comparison, have been slow to engage.
This workshop argues that this hesitation matters. MCP is not simply another AI integration pattern. When combined with a fast-emerging ecosystem of open protocols for licensing, identity, access control, payments, and auditability, it offers media organizations a concrete path toward permissioned, paid, and measurable AI use of their content—something the open web has historically struggled to provide.
The session will walk participants through a practical, newsroom-relevant technology stack aimed at newsroom leaders, product managers, and anyone thinking about journalism’s future distribution systems, including:
> Model Context Protocol (MCP) as the interface between AI agents and publisher systems
> Machine-readable licensing and access terms (e.g. Real Simple Licensing)
> Agent identity, authorization, and attestation, enabling publishers to know which agents are accessing which resources
> Wallet-less, usage-based micro-licensing and payments
> Audit trails and reporting for compliance, attribution, and revenue tracking
Using real-world examples—including how organizations such as O’Reilly Media are enabling paid AI access—the speakers will demonstrate how these components work in practice. The workshop will also examine how some publishers are beginning to treat MCP endpoints as a new subscription surface for the agentic era, raising fundamental questions about distribution when content is accessed via personal AI assistants rather than websites or browsers.
Finally, the session will address the risks. Despite new technical possibilities, Big Tech still controls the dominant personal agent interfaces (ChatGPT, Copilot, Gemini, Claude). Participants will explore what leverage publishers realistically have—and how protocol-level choices made today may shape news media’s negotiating position in the years ahead.
Participants will leave with:
> A clear mental model of the emerging AI access and licensing stack
> Practical examples of how media organizations can begin experimenting now
> An understanding of both the opportunities and structural risks of an agent-mediated future
The protocols are open. The question is whether journalism shows up.


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Pagine coinvolte
Florent Daudens
Florent Daudens

Florent Daudens is the co-founder of Mizal AI, and a recognized voice on how AI is reshaping media, with expertise spanning technology, content, and leadership. He previously led AI and media innovation at Hugging Face, where he fostered a global journalist community around open source, and consulted with international news organizations. Before diving into tech, Florent spent many years as a journalist and newsroom leader: Managing Editor at Le Devoir, and later head of international, political, and newsgathering teams at CBC/Radio-Canada. He has been featured as an expert in international publications and is regularly invited to speak at industry events and lead workshops at major universities.

Lucky Gunasekara
Lucky Gunasekara

Lucky Gunasekara is a media technologist and founder working at the intersection of news, artificial intelligence, and open digital infrastructure. He leads Miso.ai, an AI media lab partnering with more than 50 publishers globally to explore how the shift toward “liquid media” — adaptive, modular, and machine-readable content — is transforming the engagement, distribution, and revenue models of news. Through this work, he examines how existing media value chains are being eroded by extractive and opaque uses of AI, and how they might be rebuilt in the public interest. His current focus is on how autonomous agents, open-source models, and interoperable web standards could enable new forms of media products, sustainable economics, and institutional resilience in an increasingly agentic media ecosystem.

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