AI Wasn't Built for Everyone
Most AI systems are trained on data from younger, tech-savvy users. This means they often don't work as well for older adults — from voice recognition that struggles with slower speech to health apps that don't account for age-related conditions.
Where AI Bias Affects Seniors
Voice Recognition
- May not understand slower speech patterns
- Struggles with certain accents more common in older generations
- May not recognize softer voices
Healthcare AI
- Diagnostic tools trained primarily on younger patients
- Risk assessment algorithms that may not account for age-related factors
- Symptom checkers that default to conditions more common in younger people
Financial Services
- Fraud detection that flags legitimate transactions by seniors
- Automated customer service that's difficult to navigate
- Credit scoring that may not reflect retirement income patterns
Technology Design
- Small text and buttons designed for younger eyes
- Complex navigation requiring multiple steps
- Assumptions about technical literacy
Why This Happens
- Training data — AI learns from the data it's given, which often underrepresents older adults
- Design teams — Most tech companies have young workforces who design for people like themselves
- Testing — Products are often tested with younger users
- Feedback loops — Seniors who struggle with technology are less likely to provide feedback, so problems persist
What You Can Do
Speak Up
- Leave reviews when products don't work well for you
- Contact customer support and explain the issue
- Ask family members to help you submit feedback
Choose Better Products
- Look for products specifically designed for seniors
- Read reviews from other older adults
- Ask Carl for recommendations during your session
Advocate
- Support organizations pushing for inclusive AI design
- Share your experiences with family who work in tech
- Remember: if a product doesn't work for you, that's the product's failure, not yours
The Future Is Improving
More companies are recognizing the need for age-inclusive AI:
- Voice assistants are improving at understanding diverse speech patterns
- Healthcare AI is being trained on more diverse datasets
- Accessibility features are becoming standard, not optional
Frustrated with technology that doesn't work for you? [Book a session with Carl](/services) — we'll find tools that actually fit your needs.