Session execs: AI and laws could kill private messaging soon

Session execs warn AI integration, low public awareness of data practices and regulatory pressure threaten private messaging; they urge identifier removal, decentralization and end-to-end encryption after third‑party data breaches — Vitalik Buterin backed Session with $760,000 in Ether.

  • AI integration, low public awareness of data practices, and regulatory pressure threaten private messaging, say Session executives.
  • Session emphasizes removal of identifiers and decentralization to protect users.
  • Security incidents at large AI services highlight risks from third-party data handling and exposed chat histories.
  • Vitalik Buterin recently supported two crypto messaging apps, including Session, with a combined $760,000 in Ether.

Alex Linton and Chris McCabe, executives at the decentralized messenger Session, warned that Artificial Intelligence, public unawareness about data use, and new regulations pose major risks to private messaging.

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They said AI systems that analyze or store device data could undermine the ability to communicate privately. “huge privacy issues, huge security issues,” Linton said about AI’s data capabilities.

Linton added a technical concern about deep system integration:

“If it’s integrated at the operating system level or higher, it might also be able to completely bypass the encryption on your messaging app, that information could be fed off to a black box AI, and then from there, God knows what happens to it.”

He urged resistance to pervasive AI integration, saying “It’s important that we push back against this type of deep integration of AI into all of our devices, because at that point, you just don’t know what is happening on your device anymore.”

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McCabe said many users do not understand how companies store and monetize their data. He said this ignorance enables behavioral manipulation through targeted advertising and other tactics, noting “A lot of people are unconscious of what’s going on with their data, how, what you can actually do with someone’s data, and how much money you can make of that.”

He added that data can be used to “manipulate people through things like advertising, or doing things they don’t even realize they do or don’t want to do based on their data.”

Security examples cited include a disclosure from OpenAI that a third-party analytics provider was breached, exposing user data.

A disabled feature of ChatGPT was also reported to be publishing chat histories to the open web.

Session is open source and uses end-to-end encryption — a method that ensures only sender and receiver can read messages.

The app removes usual identifiers and metadata (data that describes other data, like sender IDs or timestamps) and operates without central servers, a form of decentralization that spreads network control across many nodes.

The project recently received combined support of $760,000 in Ether from Vitalik Buterin.

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