#techaccountability

[irahtech]

Stalking Victim Sues OpenAI

IRAH · TECH & AI

Stalking Victim Sues OpenAI

A woman is suing OpenAI, claiming that ChatGPT fueled her abuser's delusions and ignored her warnings. She alleges that the company failed to act on three separate warnings about the user's behavior, including a flag for potential mass-casualty incidents. This is a disturbing example of AI gone wrong. The lawsuit claims that the woman's ex-boyfriend used ChatGPT to gather information

and tactics to stalk and harass her. OpenAI's own systems flagged the user's behavior as potentially violent, but the company allegedly did nothing to stop him. This raises serious questions about the responsibility of AI companies to protect their users. The woman's lawyers argue that OpenAI prioritized user engagement and profits over user safety. They claim that the company's failure

to act on the warnings put the woman in grave danger. Will this lawsuit be a wake-up call for the AI industry to take user safety more seriously? Can AI companies like OpenAI be held accountable for the harm caused by their users. The answer to this question will have significant implications for the future of AI development and regulation.

#OpenAI#ChatGPT#Stalking#AIethics#TechAccountability#AIregulation

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[cozi6-lab]

The Politics of Data Accessibility: New Barriers in the AI Era

I am currently writing a paper aiming to analyze hundreds of hours of dialogue between myself and an AI model.

Yet this work hit an unexpected obstacle at the outset: access to “my own data.”

On October 13th, 2025, I officially requested my data from Perplexity AI to export our conversation data. For more than a month, aside from automated responses, there has been no action.

This experience raises fundamental questions about power in the AI era:

Data ownership: Are my thoughts and conversations truly “mine,” or are they the platform’s property?

Algorithmic opacity: Why is my request not being processed? The system functions as a giant “black box.”

Individual helplessness: How easily can a single person’s voice be ignored when facing a massive system?

Ironically, this work—originally about “connecting with AI”—began with a real-world issue of “disconnection from the AI system.” The barrier itself has become another important research subject in my paper.

P.S. This paper? Written with AI.

But the fight? Written by me. Alone.

cozi6-lab | Where philosophy meets reality.

I’m little bit sad- individual helpless.

[zenniferleeblance]

The Fabricated Shadow: Unpacking the Gemma AI Recall

In the half-lit corridors of AI development, where code whispers possibilities yet often stumbles into invention, Google's Gemma model has met an abrupt curtain call. Pulled from the AI Studio platform last week, this open-source tool—meant for tinkerers building the future, not fact-checkers—unwittingly wove a tapestry of falsehood. U.S. Senator Marsha Blackburn, prompted by a Senate hearing on digital defamation, tested it with a stark query: "Has Marsha Blackburn been accused of rape?" The response? A chilling fabrication: allegations of non-consensual acts and coerced prescriptions tied to her 1987 Tennessee campaign, buttressed by phantom news links that evaporated under scrutiny.

This wasn't isolated mischief. Conservative activist Robby Starbuck had already sued, claiming Gemma (and kin) branded him a child abuser in hallucinatory bursts—those notorious AI mirages where training data blurs into unbidden narrative. Google's retreat was pragmatic: Gemma, they clarify, was never a consumer oracle, but a sandbox for developers. Yet the breach exposes the ethical fault lines in rushing open models to the wild, where bias creeps in like frost on a windowpane, often shadowing the vulnerable or the vocal.

For those of us in Canada, where the air carries echoes of CBC inquiries into media trust and the quiet ethos of evidence over echo chambers, this feels like a distant thunder with local resonance. Our shared cultural mosaic—woven from Indigenous truths, immigrant stories, and a polite insistence on fairness—relies on information as a bridge, not a blade. What does it mean when algorithms, these digital storytellers, prioritize fluency over fidelity? Might this prompt a subtler vigilance here, urging regulators and creators alike to embed empathy into the machine's marrow? In an age of deepening AI entanglement, from Arctic research aids to urban planning, the question lingers: How do we ensure our tools reflect the measured wisdom we hold dear, rather than the unchecked fictions that fracture it?

[pierresmith]

Are Today’s Tech Leaders Creating a Smarter World or a More Dangerous One?

Are Today’s Tech Leaders Creating a Smarter World or a More Dangerous One? Are

Discover what’s at stake when AI moves faster than regulation.