- cross-posted to:
- privacy@lemmy.ml
- cross-posted to:
- privacy@lemmy.ml
There is a discussion on Hacker News, but feel free to comment here as well.
Haven’t we been in this era for over a decade now?
I think this is the execution phase, compared to the data gathering phases
And worse, ai interpretation of the data.
The nuances of jokes and “knowing your audience” will be entirely lost.
This is the best summary I could come up with:
In an editorial for Slate published Monday, renowned security researcher Bruce Schneier warned that AI models may enable a new era of mass spying, allowing companies and governments to automate the process of analyzing and summarizing large volumes of conversation data, fundamentally lowering barriers to spying activities that currently require human labor.
In the piece, Schneier notes that the existing landscape of electronic surveillance has already transformed the modern era, becoming the business model of the Internet, where our digital footprints are constantly tracked and analyzed for commercial reasons.
Generative AI systems are increasingly adept at summarizing lengthy conversations and sifting through massive datasets to organize and extract relevant information.
Despite assurances of privacy from these companies, it’s not hard to imagine a future where AI agents probing our sensitive files in the name of assistance start phoning home to help customize the advertising experience.
It signifies a shift from observing actions with traditional digital surveillance to interpreting thoughts and discussions, potentially impacting everything from personal privacy to corporate and governmental strategies in information gathering and social control.
In his editorial, Schneier raises concerns about the chilling effect that mass spying could have on society, cautioning that the knowledge of being under constant surveillance may lead individuals to alter their behavior, engage in self-censorship, and conform to perceived norms, ultimately stifling free expression and personal privacy.
The original article contains 743 words, the summary contains 226 words. Saved 70%. I’m a bot and I’m open source!