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AI Bias: Why Algorithms Don't Always Work for Older Adults

December 2025 9 min read Society
Carl Rasquin

Carl Rasquin

Founder, SilverIntelligence.ai

What Is AI Bias?

AI learns from data. If the data it learns from mostly represents young, tech-savvy users, the AI gets very good at serving young, tech-savvy users — and not so good at serving everyone else. This is called bias, and it's not intentional. Nobody at Google or Apple decided to make their products worse for seniors. But when 80% of the people testing and training AI systems are under 40, the result is technology that works best for people under 40.

Voice Recognition and Older Voices

Voice assistants like Alexa and Siri are trained on millions of voice samples — but disproportionately from younger speakers. Older voices naturally change: pitch lowers, speech may slow, accents may thicken, and some medical conditions affect clarity. The result? Voice assistants misunderstand seniors more often than younger users. If Alexa keeps saying 'Sorry, I didn't understand that,' it's not your fault — it's a training data problem.

Facial Recognition Failures

Facial recognition AI is less accurate for older adults, particularly older women and people of color. This affects everything from unlocking your phone with Face ID to being correctly identified in photos. The AI was trained mostly on younger faces, so it struggles with wrinkles, age spots, and the natural changes that come with aging. Some seniors find that Face ID stops working reliably after a few years — switching to a PIN code is a perfectly reasonable solution.

Health AI and Age Bias

AI-powered health tools — symptom checkers, fitness trackers, sleep monitors — are often calibrated for younger bodies. A heart rate that's perfectly normal for a 70-year-old might trigger an alert on a fitness tracker designed for 30-year-olds. Symptom checkers may not account for how diseases present differently in older adults. Always use AI health tools as a starting point, not a diagnosis, and always consult your doctor.

Design That Excludes

Beyond AI algorithms, the design of technology itself often excludes older users. Small text, low-contrast colors, tiny buttons, complex menus, and rapid animations all create barriers. These aren't AI problems specifically, but they're part of the same pattern: technology designed by and for younger people. The good news is that accessibility settings on most devices can fix many of these issues — larger text, higher contrast, simpler interfaces.

What You Can Do

  • Speak up when technology doesn't work for you — use feedback forms, app store reviews, and customer support to report problems
  • Use accessibility settings on your devices — they exist specifically to address these gaps
  • Support organizations like AARP and the Older Adults Technology Services (OATS) that advocate for age-inclusive technology
  • Talk to your family about your technology frustrations — they may be able to help adjust settings or find better alternatives
  • Remember: if a technology doesn't work for you, the technology is the problem, not you

Your Voice Matters

Every time you leave feedback about a product that doesn't work well for you, you're contributing to better AI for everyone. Companies do read reviews and support tickets. Your experience as an older adult is valuable data that helps fix bias. Don't stay silent.

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Carl Rasquin

Carl Rasquin

Founder, SilverIntelligence.ai

Senior Project Manager with 20+ years of enterprise technology experience. AI & Machine Learning certified from the McCombs School of Business at the University of Texas at Austin. PMP certified, CSM, and Six Sigma Green Belt. Carl founded SilverIntelligence.ai to help Gen X and Baby Boomer adults navigate AI with confidence and safety.

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