Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13
Introduction
00:00 • 4min
The Ethics and Bias Risk of AI Models
04:05 • 2min
The Role of Models in Bias
06:07 • 5min
The Threats of Data Poisoning
10:38 • 2min
The Role of Security in AI
12:19 • 3min
The Complexity of ML Models
15:03 • 2min
How to Avoid Data Poisoning
16:54 • 2min
The Importance of a Leaderboard in AI Risk Management
19:06 • 2min
The Three Pillars of Risk in Machine Learning and LLMs
20:37 • 3min
The Importance of LLMs in Software Engineering
23:10 • 4min
The Role of Red Teaming in LLMs
26:55 • 2min
The Potential of Red Teaming in LMSs
29:17 • 3min
The Shift in the Mindset of the Data Science Community
32:32 • 2min