The Shifting Privacy Left Podcast S2E7: Bring Your Own Data, ChatGPT & Personal AIs with Markus Lampinen (Prifina)
In this conversation with Markus Lampinen, Co-founder and CEO at Prifina, a personal data platform, we discuss meaty topics like: Prifina’s approach to building privacy-respected apps for consumer wearable sensors; LLMs (Large Language Models) like Chat GPT; and why we should consider training our own personal AIs.
Markus shares his entrepreneurial journey in the privacy world and how he is “the biggest data nerd you’ll find.” It started with tracking his own data, like his eating habits, activity, sleep, and stress, an then he built his company around that interest. His curiosity about what you can glean from one's own data made him wonder how you could also improve your life or the lives of your customers with that data.
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Thank you to our sponsor, Privado, the developer-friendly privacy platform
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We discuss how to approach building a privacy-first platform to unlock the value and use of IOT / sensor data. It began with the concept of individual ownership: who should actually benefit from the data that we generate? Markus says it should be individuals themselves.
Prifina boasts a strong community of 30,000 developers who align around common interests - liberty, equality & data - and build and test prototypes that are gathering and utilizing the data working for individuals, as opposed to corporate entities. The aim is to empower individuals, companies & developers to build apps that re-purpose individuals' own sensor data to gain privacy-enabled insights.
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Listen to the episode on Apple Podcasts, Spotify, iHeartRadio, or on your favorite podcast platform.
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Topics Covered:
- Enabling true, consumer-grade 'data portability' with personal data clouds (a 'bring your own data' approach)
- Use cases to illustrate the problems Prifina is solving with sensors
- What are large language models (LLM) and chatbots trained on them, and why they are so hot right now
- The dangers of using LLMs, with emphasis on privacy harms
- How to benefit from our own data with personal AIs
- Advice to data scientists, researchers and developers regarding how to architect for ethical uses of LLMs
- Who's responsible for educating the public about LLMs, chatbots, and their potential harms & limitations
Resources Mentioned:
- Learn more about Prifina
- Join Prifina's Slack Community: Liberty.Equality.Data
Guest Info:
Privacy assurance at the speed of product development. Get instant visibility w/ privacy code scans.
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