Research
Responsible AI starts with the questions teams ask first.
A grounded guide to framing risks, responsibilities, and decision points before a model is deployed.
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Twelve years in artificial intelligence and machine learning, with a focus on responsible AI, applied machine learning, and education that helps people make better decisions with technology.
Selected proof
45+ talks
Workshops and speaking sessions on responsible AI and machine learning.
Education
3,000+
Students and professionals taught across talks, workshops, and courses.
Overview
Dr. Ananya Rao works across speaking, workshops, research, technical writing, AI education, and advisory work. Her focus is to make responsible AI practical for technology leaders, conference organizers, universities, researchers, founders, and professionals interested in AI.
She brings the same disciplined approach to every format: clear frameworks, usable examples, and a calm explanation of tradeoffs. That makes her work useful in classrooms, on stages, and inside early-stage teams.
Proof points
Choose a topic below to see the experience visitors can expect from a talk, workshop, article, or advisory conversation.
Featured articles
Research
A grounded guide to framing risks, responsibilities, and decision points before a model is deployed.
Read more →Education
A teaching-led perspective on keeping concepts precise, memorable, and usable for mixed technical audiences.
Read more →Writing
A short piece on how clear language can improve internal alignment and external trust.
Read more →Advisory
A practical overview of adoption questions, guardrails, and decision-making that can be discussed with founders and operators.
Read more →Speaking inquiry
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