Episode 29
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.
Who this is for
- You are building something real and need the unpolished version before the launch post.
- 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
- How do we make sure that whatever the model outputs actually grounded in real-world data and is actually correct? How...
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You can think about responsible AI as a big umbrella of safety guardrails in that you want to bake into a model across different pillars like bias, transparency, privacy, robustness, interpretability, etc.
If you were to pull a sample of 100 people, maybe 60 would say that, yeah, that's problematic, 40 would be like, yeah, that's okay. Who decides whether that response is in fact problematic? Is it some shadowy leader that you never meet or is it you as an engineer or like, who is the decision maker here?
I got to work with machine learning systems research to AI for accelerating IT operations to even responsible AI in my final rotation. Maybe I should have led with this, but where does responsible AI come into what you just described?
How do we make sure that whatever the model outputs actually grounded in real-world data and is actually correct? How far do you think we are from Agi? Welcome to the Ready Set Do podcast, where we learn from journeys of not experts who are just two steps ahead of us.
I'm Naman Pandey and in this episode featured not expert is Advaitya Gamavan. Advaitya has the incredibly unique role of working on responsible AI at Microsoft as a machine learning engineer to more so than the other episodes that I've put out here.
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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