Making TrustVerifiable in AI
Part of the Trust by Design practice ↗Not all AI risk lives in the code. Some only becomes visible when real people use the system. We work directly with people affected by AI to surface real-world risks and document them for audit and EU AI Act compliance.
The Risk Landscape
Many AI systems are designed for confident digital users. In high-risk contexts involving children and older adults, this design bias can increase exposure to harm.
Cognitive Overload
AI interfaces that are complex or poorly structured can overwhelm users, leading to errors, anxiety, and disengagement from essential services.
Opacity of Decisions
When AI influences education, care, or financial decisions without clear explanation, trust erodes and users may make harmful counter-decisions.
Inappropriate Reliance
Over-reliance on AI systems can undermine autonomy, critical thinking, and independent decision-making.
Privacy Vulnerabilities
Users may disclose sensitive information to systems without adequate safeguards, increasing exposure to misuse or exploitation.
Want to act on your audit findings?
Use our design research service to turn audit insights into concrete product improvements, inclusive design patterns, and governance-ready documentation.
Our Trust Audits
Deep dives into solving trust challenges for vulnerable user groups. Each audit includes assessment frameworks, facilitation guides, and evidence of impact.
AI Education for Children
Evaluate AI systems used by or around children for safeguarding, developmental, and ethical risk. Includes facilitated session framework and trust assessment tools.
View Case Study
AI Banking for Older Adults
Assess AI systems used by or around older adults for dependency risk, cognitive vulnerability, autonomy, and wellbeing impact.
View Case StudyA connected practice
TrustAudit is one part of a three-layer professional practice. Each layer can be used independently or together.
Trust by Design
The framework, the method, and the professional practice. Start here to work directly with a specialist.
Visit the framework ↗TrustAudit Tools
Run a structured Trust Layer assessment on your own AI system. Identify gaps in explainability, oversight, and accessibility before they become compliance failures.
TrustBridge Design
See how the Trust Layer has been applied in practice across banking, education, health, and data consent. Real systems, real users, real design decisions.
See the work ↗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.
Get in TouchOr email directly at info@jennifersimonds.com
Already completed an audit? Use TrustBridge Design to act on your findings.