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

The Shifting Privacy Left Podcast

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2+ y ago 59:00

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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

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Chapters

1. S2E7: Bring Your Own Data, ChatGPT & Personal AIs with Markus Lampinen (Prifina) (00:00:00)

2. Introducing Markus Lampinen (00:01:15)

3. Markus relays his 'data geek' origin story (00:02:23)

4. Why Markus founded Prifina, his approach to building a privacy-first platform, and how it unlocks the value and use of IOT / sensor data (00:05:24)

5. Markus describes the Prifina community of over 30,000 developers (00:13:20)

6. Debra & Markus discuss the importance of building privacy constraints into engineering tools and why it's essential to build with privacy by design and default (00:17:00)

7. Enabling true, consumer-grade 'data portability' with personal data clouds (00:23:45)

8. Debra explains what large language models (LLM) and chatbots trained on them, and why they are so hot right now (00:26:49)

9. Markus relays his belief that we're only at the top of the 1st wave of the hype cycle for LLMs (00:28:39)

10. Markus opines on why technologists are so excited about generative AI (00:30:04)

11. Markus differentiates between ChatGPT and GPT3 (00:32:51)

12. Markus describes some of the dangers of using LLMs with a focus on privacy harms (00:34:55)

13. Debra describes the privacy harm of 'decisional interference' (00:40:07)

14. Debra wonders whether global regulators may force companies to throw away unethically-trained chatbots (00:40:44)

15. Markus envisions a future where we all have our own 'personal AIs' (00:43:59)

16. Markus's advice to data scientists and researchers and developers regarding how to architect for ethical uses of LLMs (00:45:11)

17. Discussion over who's job it is to educate the public on LLMs, chatbots, their potential harms & limitations, etc. (00:48:33)

18. Markus is optimistic about future investments in a 'consumer market' for privacy-enablement and portability that rivals previous investment in enterprise tech (00:52:19)

19. Markus talks about Prifina's Slack community: 'Liberty. Equality. Data.' (00:55:48)

63 episodes

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