Episode 72
How To Break Into Designing "Inclusive" Microsoft LLMs + Navigating Bias & Privacy Concerns - w/ Advitya

Advitya works on Responsible AI at Microsoft as a Machine Learning Engineer 2. I am extremely stoked to present this incredibly nuanced discussion on the ethics and responsibilities that come with building mass-market generative AI tools.
First moves to steal
- Break Into Designing "Inclusive" Microsoft LLMs + Navigating Bias & Privacy Concerns - w/ Advitya
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Transcript-backed moments
A few lines worth stealing before you hand over the full hour.
Here's a question for you. What goes into launching one of the most recognized car brands in the world's third largest car market? Battling through tariffs, compliance as well as regulatory hurdles. So I was going back
regulatory hurdles. So I was going back in the flight and they happened to be a in the flight and they happened to be a cricketer on that flight. He was also discussing like it was sort of glanguli
discussing like it was sort of glanguli actually. I don't need to gateep this. I've never seen a country of 1.4 billion people talk about one thing so unanimously. I'm Naman Pandi. This is
unanimously. I'm Naman Pandi. This is the Ready Set Do podcast. And in this episode, my guest is Suprati Saha. Supra is a staff program manager at Tesla and the finance lead for new markets
the finance lead for new markets expansionist. Supra worked directly on the financial side of the house when it came to the Tesla launch in India in July 2025. And in this chat, he takes us
Show notes
Advitya works on Responsible AI at Microsoft as a Machine Learning Engineer 2. I am extremely stoked to present this incredibly nuanced discussion on the ethics and responsibilities that come with building mass-market generative AI tools. We discuss the technical foundations of Advitya’s career that brought him to this cutting edge of technology, and also go over how GenAI tools by big tech navigate critical concerns such as privacy, ethics, inherent biases that creep in all the time; and the aspect I was most curious about - WHO is the actual decision maker when it comes to flagging something as problematic and/or offensive.
