Episode 29

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

Oct 16, 202401:09:41Audio-first conversation
How To Break Into Designing "Inclusive" Microsoft LLMs + Navigating Bias & Privacy Concerns - w/ Advitya cover art

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.

Who this is for

  • You are trying to get hired without sounding like everybody else in the pile.
  • You would rather hear Advitya's version while the mess is still fresh than get another polished hindsight sermon.

Key takeaways

  • Break Into Designing "Inclusive" Microsoft LLMs + Navigating Bias & Privacy Concerns - w/ Advitya

Need the cleaner version?

I pulled the sharpest parts of this lane into a guide so you do not have to reconstruct the answer from memory later.

Read the guide

Fast scan timestamps

00:0000) Intro + Background(
00:0351) Advitya’s career snapshot(
00:0522) Landing Microsoft’s ML rotation program role spanning 4 orgs(
00:0825) Experience of studying Data Science at UC San Diego(
00:1111) Day in the life starting out at Microsoft(
00:1452) Hands-on experience working on products at Microsoft(

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.

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