OpenAI and AARP launch road tour to teach older Americans how to use AI against scams
OpenAI is teaming with AARP to roll out a mobile “Digital Discovery Lab” that will visit ten U.S. cities starting Sept. 16. The pop‑up workshops, run with Senior Planet and Older Adults Technology Services, aim to give seniors hands‑on practice using ChatGPT to verify suspicious calls, emails and websites. OpenAI’s internal report released the same day says roughly 24.7 million people worldwide…
Key points
- OpenAI and AARP will visit 10 U.S. cities with a mobile lab to train seniors on using ChatGPT for scam detection
- Only 1.9% of ChatGPT users over 64 check scams weekly, despite 76% of 45‑64 adults reporting scam experiences
- OpenAI reports 130 million weekly scam checks on ChatGPT, roughly 200 checks per second
The tour follows a spike in online fraud targeting people over 60, highlighted by FBI data and a Pew study showing 76 % of adults 45‑64 have encountered a scam. OpenAI’s scams‑detection lead Jack Stubbs notes that the platform processes over 130 million scam checks a week—about 200 per second—and that educating older users could reduce their vulnerability. By bringing AI tools directly to rural and urban senior communities, the initiative seeks to bridge the digital‑age gap and empower a demographic that is often left behind in the AI conversation.
The story so far
2 episodes →- OpenAI and AARP launch road tour to teach older Americans how to use AI against scamsthis story
Exclusive: OpenAI launches road tour to educate older Americans on AI
usatoday.com · 16 September 2026
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This text was published by usatoday.com and written by Greta Reich. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗
Coverage and discussion
3sources- OpenAI Brings AI Scam Training to Older AmericansPress · ibtimes.co.uk ·
- Helping older adults use AI in everyday lifePrimary source · OpenAI ·
The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.
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