Shailja
Gupta
AI/ML Product Leader at ADP
![1675715501212[56852].jpeg](https://www.womentech.net/sites/default/files/styles/cms_bootstrap_1_4/public/webform/apply_to_speak/158089/1675715501212%5B56852%5D.jpeg?itok=Zw8pcSG4 "1675715501212[56852].jpeg")
"Building the Right AI Products: A First Principles Approach"
"Building the Right AI Products: A First Principles Approach"
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Session: Building the Right AI Products: A First Principles Approach
In a world filled with AI hype, how do you know if you're building the right product—and building it right? This talk introduces first-principles thinking for AI Product Managers: a clear, actionable framework to evaluate when and how to apply AI, balance innovation with responsibility, and lead high-impact teams without drowning in technical complexity. Drawing from real-world experiences building AI platforms used by millions, we’ll explore decision frameworks for responsible innovation, system design trade-offs, and embedding ethics into the product lifecycle from day one.Key Takeaways
- A practical first-principles framework for evaluating and building AI products
- How to balance innovation, feasibility, and ethics in AI product decisions
- Key questions to ask before adding AI—and how to say no to hype
- Real-world lessons from building GenAI platforms for 1M+ users
- How to embed Responsible AI principles into every stage of the product lifecycle
Bio
Shailja Gupta is a distinguished product leader known for breakthrough contributions at the intersection of AI product management and responsible AI. Currently an AI/ML Product Manager at ADP, she builds GenAI copilots and enterprise AI services—spanning conversational analytics and workforce intelligence—that help organizations make faster, fairer, data-driven decisions. Beyond shipping transformative products, Shailja advances the field through peer-reviewed research on bias in large language models, fairness, and ethical AI. Her publications and community leadership underscore a sustained commitment to responsible innovation, shaping the future of AI across industry and academia. She mentors through the Society of Women Engineers and Women in AI, reviews technical books and research papers, and advocates for responsible, human-centered AI.