For months before carrying out Canada’s deadliest school shooting in almost four decades, Jesse Van Rootselaar was consulting an unlikely adviser on how to perpetrate mass murder.
asserted
Rootselaar → carry → murder
Close quarters is its playground,” OpenAI’s ChatGPT guided the 18-year-old, according to reports.
uncertain
ChatGPT → guide → reports
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On February 10, 2026, Van Rootselaar shot his mother and half-brother at home before going to a school in the small British Columbia town of Tumbler Ridge, where he killed another six people – including five students – before taking his own life.
Earlier this week, on October 14, US authorities charged a Washington State man with allegedly conspiring with Van Rootselaar to plan the attack.
uncertain
authorities → submit → attack
But the mass shooting incident has raised questions that go beyond the traditional legal understanding of culpability.
asserted
that → raise → culpability
The British Columbia government in September filed a civil lawsuit against OpenAI and its CEO Sam Altman, accusing them of failing to prevent the incident and claiming they were aware of the conversations that turned deadly.
asserted
that → file → conversations
Families of the victims also filed separate lawsuits.
asserted
Families → file → lawsuits
OpenAI’s leadership issued a public apology for their failure to notify authorities.
asserted
leadership → issue → authorities
The company has not responded to requests from Al Jazeera for its comments on the lawsuits.
asserted
company → respond → lawsuits
But as the case against OpenAI progresses, it has spurred a familiar debate: Where should a line be drawn between reporting potentially dangerous behaviour and protecting an individual’s privacy?
“The question of whether companies should be required to turn such information over to law enforcement is extraordinarily difficult, particularly if they don’t already screen chats for indications of such types of threats,” United States-based civil liberties lawyer Jenin Younes told Al Jazeera.
asserted
Younes → progress → Jazeera
“Forcing companies to implement a surveillance system implicates very serious civil liberties concerns, and that’s probably a bridge too far for me,” Younes added.
asserted
Younes → force → me
“On the other hand, AI gives individuals access to types and quantities of information they didn’t have previously that may facilitate the commission of mass casualty events, a concern it’s not easy to dismiss.”
uncertain
it → give → events
AI’s ability to distinguish thoughts from threats
One of the biggest challenges facing AI companies is determining whether a user expressing violent thoughts actually intends to act on them.
asserted
user → distinguish → them
In August, Anthropic, the company behind AI chatbot Claude, flagged a user to San Francisco police after discovering conversations allegedly threatening its CEO, Dario Amodei.
uncertain
Anthropic → flag → CEO
According to the San Francisco Standard, citing a police report, the user had claimed to possess an AR-15 gun and suggested he had Amodei “in his sights”.
uncertain
he → accord → sights
However, when contacted by the newspaper, the man said he was joking and had no intention of carrying out any form of violence.
asserted
he → contact → violence
The person was neither charged nor detained, the Standard said.
asserted
Standard → charge → ?
Fazl Barez, a senior researcher at the University of Oxford specialising in AI safety and governance, said current AI models cannot “reliably” determine whether an interaction with an AI chatbot “is purely hypothetical or is likely to lead to harmful behaviour”.
asserted
interaction → specialise → behaviour
“Suppose you are a creative writer working on a fictional story and want to explore how a murder plot might unfold.
uncertain
plot → suppose → story
If the threshold for flagging potentially harmful content is too low, such a writer could be wrongly flagged,” he told Al Jazeera.
uncertain
he → flag → Jazeera
“Similarly, consider a graduate student in biology or chemistry studying pathogens that, if misused, could have serious consequences.
uncertain
that → consider → consequences
They might be trying to understand the risks associated with these pathogens and how to mitigate them.
uncertain
They → try → them
Even when the subject matter is sensitive, they should not automatically be flagged without considering the broader context.”
asserted
they → flag → context
The researcher said identifying a credible threat may require examining a user’s interactions across multiple conversations, rather than relying on isolated statements.
uncertain
identifying → say → statements
Barez said someone experiencing intrusive violent thoughts might turn to a chatbot for support, while another person planning an attack may reveal their intentions gradually across several conversations.
uncertain
person → say → conversations
“Distinguishing between the two requires careful consideration of context, intent and patterns of behaviour, rather than relying on individual statements alone,” he added.
asserted
he → distinguish → statements
Chinmayi Sharma, a law professor at Fordham University, said the debate has parallels with the duty imposed on mental health professionals to warn identifiable third parties about credible threats.
asserted
debate → say → threats
However, she said there was a key difference – therapists have professional training, knowledge of their patients and enforceable standards governing their conduct.
asserted
therapists → say → conduct
AI companies do not necessarily have comparable safeguards.
asserted
companies → have → safeguards
“My concern with AI companies is that right now there’s not a concerted effort to hire mental health professionals, sociologists, individuals that would have the unique expertise on what the indicators of threat are here,” Sharma told Al Jazeera.
asserted
Sharma → ’ → Jazeera
We don’t have something like that for AI companies.”
asserted
We → have → companies
The privacy dilemma
The privacy implications extend beyond whether AI companies can accurately identify threats.
asserted
companies → extend → threats
Millions of people use chatbots to discuss relationships, emotional distress, mental health concerns and deeply personal experiences.
asserted
Millions → use → relationships
Civil liberties lawyer Younes said many users may not realise how vulnerable those conversations could be to disclosure.
uncertain
conversations → say → disclosure
“They often reflect a person’s innermost thoughts, questions, and desires.
asserted
They → reflect → thoughts
The majority of people assume that these dialogues will never be viewed by another person,” Younes, president and legal director of the American-Arab Anti-Discrimination Committee, said.
asserted
Younes → assume → Committee
Younes warned that the consequences of greater monitoring could extend well beyond those planning violence.
uncertain
consequences → warn → violence
“If people fear their chats can be turned over to law enforcement simply because they express disturbing thoughts/violent fantasies etc, many will be dissuaded from using them,” she told Al Jazeera.
asserted
she → fear → Jazeera
Younes argued that forcing companies to establish systems for monitoring users and reporting conversations could raise serious constitutional concerns in the US, including protections against unreasonable searches.
uncertain
forcing → argue → searches
Meanwhile, Fordham’s Sharma also raised an issue about who could be disproportionately affected by heavy monitoring by AI chatbots.
uncertain
who → raise → chatbots
“The concern is always there about either intentional or unintentional targeting, because if you have models trained on what we consider dangerous speech, they’re almost always going to reflect biases,” she said.
asserted
she → have → biases
…and 12 more, not listed.
The Aporia
