Private Messaging Faces Threats From Ai, Limited User Awareness:...

Private Messaging Faces Threats From Ai, Limited User Awareness:...

“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 added.

McCabe, Session’s co-founder, said that many people are unaware of how their online data is stored and used, as well as the dangers of mass data collection by big tech companies.

ChatGPT creator OpenAI disclosed last month that a third-party data analytics provider was breached by an attacker, exposing some of its user data, which it warned could be used for phishing or social engineering attacks.

A now-deactivated feature of the chatbot was also found to be sharing chat histories on the open web.

“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,” McCabe said.

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.”

“There is a lot of pressure if you're in the business of building encrypted messengers or making encrypted tools in general. Proposed or enacted regulations are being adopted in many jurisdictions,” Linton said. “There’s a lot of negative media attention that can come with it.”

He was an electrician and “a part-time tech nerd” in his spare time, but a redundancy from his job opened the door to going “all in on Web3,” and he started building Session in 2018.

Linton, also a self-confessed “part-time tech nerd,” was a journalist with Australia’s national broadcaster, the ABC, and saw firsthand why private communication was so important.

Session is open source and uses end-to-end encryption, meaning only the sender and receiver can read messages.

Source: CoinTelegraph