Building Trust
in AI Interactions
Design proposals for helping vulnerable users navigate AI with confidence. From elderly banking to children's education.
Elderly Banking
Building confidence in AI finance
Children & AI
Ethical homework assistance
Data Consent
Informed choices, not dark patterns
Health Dialogue
Explainability for patients & clinicians
The Current Risks
Today's AI interfaces are designed for tech-savvy users. This leaves millions of elderly people, children, and other vulnerable groups exposed to harm.
Cognitive Overload
Complex AI interfaces overwhelm elderly users, leading to anxiety, errors, and eventual abandonment of essential digital services.
Opacity of Decisions
When AI makes decisions about finances or education without explanation, users lose trust and may make poor counter-decisions.
Inappropriate Reliance
Children may over-trust AI homework assistants, hindering critical thinking development and creating dependency.
Privacy Vulnerabilities
Vulnerable users often unknowingly share sensitive information with AI systems lacking proper safeguards.
Our Case Studies
Deep dives into solving trust challenges for vulnerable user groups. Each case includes interface designs, interview frameworks, and evidence of impact.
AI Banking for Older Adults
Building confidence in digital finance
73% of adults over 65 express anxiety about AI-powered banking features. We've designed interfaces that restore trust and independence.
View Case Study
AI Education for Children
Homework help that teaches, not just answers
68% of parents worry their children use AI to complete work rather than learn. Our designs ensure AI supports genuine learning.
View Case Study
AI Data Consent
Making data decisions genuinely informed
91% of users tap 'I Agree' without understanding what they're giving away. We've designed consent flows that slow down, translate, and separate every decision.
View Case Study
AI Health Dialogue
Explainability in both directions
When AI monitors your health, both patient and clinician need to understand what it's saying. We've designed bidirectional explainability for health AI consultations.
View Case StudyJoin Us
Want to be a trust designer too?
We're looking for partners who believe AI should work for everyone. Get in touch to explore how we can collaborate on building trustworthy AI experiences together.
Or email directly at info@jennifersimonds.com