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AI and ageing: bridging the digital divide for older adults | Ce Wang, China Mobile

AI for Good11 August 2026Watch on YouTube

What you'll learn

  • Age-friendly digital services develop in three stages, from access and ease of use to personalised AI adaptation.
  • AI shifts interaction from menu operation toward naturally voiced intentions, for example through speech, gestures and images.
  • Instead of older adults searching for services, AI services can actively detect risks and bring in professional help.
  • AI can create new divides among older adults, around understanding, access, questioning and digital evolution.
  • AI for older adults involves three core risks, data privacy, algorithm fairness and application safety, to be tackled from the design phase.

Frequently asked questions

What is China Mobile's Link See?
The Link See is a home AI terminal from China Mobile that serves older adults through voice, touch, remote control and mobile access. Users can search for information, play audio and video, control household appliances and ask for help or advice by voice command, without complex menu paths.
Which three stages does Ce Wang distinguish in age-friendly digital services?
Wang distinguishes access to basic information, ease of use in digital applications, and precise service adaptation. The three stages build on one another, from infrastructure and usability toward personalised AI-based services.
How does the smart care system China Mobile built work?
China Mobile combines the I Care app, AI devices and the I Care platform. Rural older adults living alone receive devices such as electronic blood pressure monitors; abnormal readings generate alerts to village doctors and family members for timely intervention.
Which core risks does Wang name for AI serving older adults?
Wang names three core risks in the chain of data collection, model training and decision output, namely data privacy, algorithm fairness and application safety. Because older adults are under-represented in internet data, age bias can arise, and in health and finance errors directly harm health and property.

Topics

ai applicationsaging societyalgorithmic fairnessdigital inclusionhuman-centred design

Sources

What is known about this topic outside the broadcast, and where it says so.

Description from the channel

As AI advances, could a new “intelligence divide” leave older adults behind? Ce Wang, Senior Researcher at China Mobile Research Institute (CMRI), explores how AI is reshaping age-friendly digital services while raising concerns around data privacy, algorithmic fairness and safety. The session examines how human-centred design and inclusive innovation can help older adults participate equally in an increasingly intelligent society. Recorded live at the AI for Good Global Summit 2026 at Palexpo in Geneva, Switzerland. _____________________________________________________________________ AI for Good is identifying innovative AI applications, building skills and standards, and advancing partnerships to solve global challenges. AI for Good is organized by ITU in partnership with over 50 UN partners and co-convened with the Government of Switzerland. Join the Neural Network! 👉https://aiforgood.itu.int/neural-network/ The AI for Good networking community platform powered by AI. Designed to help users build connections with innovators and experts, link innovative ideas with social impact opportunities, and bring the community together to solve global challenges using AI. 🔴 Watch the latest #AIforGood videos! https://www.youtube.com/c/AIforGood/videos 📩 Stay updated and join our weekly AI for Good newsletter: http://eepurl.com/gI2kJ5 🗞Check out the latest AI for Good news: https://aiforgood.itu.int/newsroom/ 📱Explore the AI for Good blog: https://aiforgood.itu.int/ai-for-good-blog/ 🌎 Connect on our social media: Website: https://aiforgood.itu.int/ X: https://twitter.com/AIforGood LinkedIn Page: https://www.linkedin.com/company/26511907 LinkedIn Group: https://www.linkedin.com/groups/8567748 Instagram: https://www.instagram.com/aiforgood Facebook: https://www.facebook.com/AIforGood Disclaimer: The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.