Data, AI & Health: Risks & Opportunities

Show notes

"All tech operates in context and it's good for one context. Think about what's the right place for AI, and what is not the right place for this technology." - Lisa Falco

Key take aways

• Data can change how we understand our bodies: Tracking cycles, sleep, or health metrics can reveal patterns but it should support, not replace, personal awareness.

• Health data is never neutral: The same data that helps improve care can also be used in ways that affect people’s access to insurance, privacy, or even legal protection. AI can unlock access where systems are limited: In places with few medical specialists, AI can help detect diseases earlier and guide next steps in care.

• Real impact depends on the full system: Detecting a disease is only useful if people can afford and access the next step in diagnosis and treatment.

• The gender health gap is built into historical data: Women’s health has long been under-researched, but increased awareness and new data are starting to close that gap.

• Context decides how AI should be used: The same AI system can act as support in one place and as a primary solution in another.

Learn more about Lisa’s work

• Lisa Falco on LinkedIn
• Lisa Falco's website
• Book: Go Figure!
• Company: N23 Health

If this episode made you rethink the role of context and the personal experience when building AI or tech solutions, share it with someone in your environment and join the conversation in the comments.

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