Season 6 · Episode 4
The Ethical Path to High-Quality AI Data with Fabiana Clemente
How can we accelerate AI while protecting privacy? Fabiana Clemente discusses founding YData to enable high-quality synthetic data for machine learning. She covers open sourcing data profiling tools, the impact of generative AI on synthetic data, and maintaining work-life balance as an introvert leader.
Episode Guest
Episode Transcript
Timestamps
Top topics discussed in the podcast transcript:
00:02:29 Fabiana's journey starting YData and becoming a public speaker
00:20:19 Misconceptions and hype around generative AI and AGI
00:32:46 Potential real-world impact and use cases of LLMs today
00:34:55 The role of synthetic data in making AI models more robust and fair
00:43:55 Advice for founders: value your time and learn to say no
00:48:24 The importance of technical leaders being able to communicate well
Quotes
Charna Parkey:
[00:11:02] "It's a balance. I think that's also what led us to some of the demographic based data science. Essentially, folks were making event data into pre-aggregated data. And then they were trying to obscure it so much that you couldn't get back to the person. And so you reduce to what's their age and what's their gender? And that's not actually the most useful part of data science, correlation that can't predict behavior or intent. It throws out time as a component of the entire process, seasonality, everything. And so there just, there has to be a better way."
Fabiana Clemente:
[00:26:36] "I have to say, that's a very beautiful way to put it. Hallucinations, I have to say. I never thought about that. And it makes a lot of sense. I do think, though, that in terms of LLMs,with language it sounds like we are getting very, very intelligent system, exactly because language is very complex. And we know that was needed for the leap of humanity. I do think there are other leaps, say the sense of combining. Well, and here we enter in the multimodal kind of space. It's what's missing."
Links
