Young Canadians want AI companies to make their chatbots less addictive: report
The report says 100 young people want limits on chatbot features that encourage dependence and a new body to audit AI safety standards.
- McGill University's Centre for Media, Technology and Democracy released a report on Thursday urging the government to mandate curbs on addictive AI chatbot designs.
- Consultations with 100 young people aged 17 to 23 revealed concerns that chatbots use deliberate design choices to foster emotional dependency and maximize time-on-platform for profit.
- Participants described experiences of "cognitive off-loading or emotional reliance" they found difficult to reverse, linking these dynamics to design choices they never consented to.
- The report recommends a standardized age-verification system using anonymized digital tokens to "restrict users" access, plus a new government body to audit algorithms and enforce safety standards.
- Youth advocates will present these findings on Parliament Hill on Thursday as officials develop a national AI strategy and online harms legislation.
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37 Articles
Young Canadians Call for Rules to Make Chatbots Less Addictive, Clearly Label AI Content: Report
A group of young Canadians is calling on Ottawa to order artificial intelligence companies to curb the addictive aspects of their AI chatbots and ensure clear labelling of AI content. The report published this week by the Centre for Media, Technology and Democracy at McGill University calls for stronger user controls, tighter data privacy rules, measures against misinformation, and new oversight of how AI systems are designed and used. Input wa…
Ottawa should intervene to limit their addictive aspects, according to the Centre for Media at McGill University.
Winnipeg Free Press
Young Canadians want AI companies to make their chatbots less addictive: report
Breaking News, Sports, Manitoba, Canada
lechodelarivenord.ca
A new youth-centred report suggests that the government should force AI firms to take action to limit the addictive aspects of their conversational agents
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