AI & Data Ethics

Last updated: July 15, 2026

Responsible AI is my practice, not a page I keep for appearances. These are the principles I apply to my own use of AI and data, and the same ones I help clients build into their products, especially where older adults and caregivers are involved.

What I hold myself to

• Human agency first.AI should support a person’s decisions, not quietly replace them. People must know when AI is involved and stay in control.
• Inclusive evaluation. If a system will touch older adults, evaluate it with older adults. Across ability, language, and comfort with technology. Not with proxy users.
• Transparency in plain language. People deserve to know what data a system uses, what it does with it, and where it fails. Written so a non-specialist can understand it.
• Governance by design. Risk assessment, documentation, and audit-readiness belong in the design process from day one, informed by ISO 42001 and ISO 42005. Bolting them on before launch is how organizations get hurt.
• Data dignity. Collect the minimum. Protect what you collect. Health and caregiving data is never a commodity.

How I use AI myself

• I use AI tools to assist my research, writing, and software development. I review everything, and I am accountable for everything I deliver. No exceptions.
• I do not feed client-confidential material into AI tools without the client’s agreement and proper data protections.
• This website does not profile you or run AI on your data.

Where I write about this

My public work on responsible AI in aging technology lives at responsible-agetech.org and agetechstudio.org. Want to talk about AI governance for your organization? Email me: ezra@artandtech.com.