S2E7: Bring Your Own Data, ChatGPT & Personal AIs with Markus Lampinen (Prifina)

02/21/23 • 59 min

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:

Follow Markus on

Send us a text

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02/21/23 • 59 min

The Shifting Privacy Left Podcast - S2E7: Bring Your Own Data, ChatGPT & Personal AIs with Markus Lampinen (Prifina)

Transcript

Debra Farber 0:00
Hello, I am Debra J. Farber. Welcome to The Shifting Privacy Left Podcast, where we talk about embedding privacy by design and default into the engineering function to prevent privacy harms to humans, and to prevent dystopia. Each week we'll bring you unique discussions with global privacy technologists and innovators working at the bleeding edge of privacy, research and emerging tech

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