Conference talks
Clear, audience-specific sessions on responsible AI, applied machine learning, and practical decision-making.
Work
Talks, workshops, writing, and advisory work that make responsible AI clearer for technical teams, universities, and founders.
Talks
45+
Articles
18
Years
12
Featured work
Each piece of work is shaped for a different audience, but the through-line stays the same: make responsible AI understandable, useful, and grounded in real decisions.
Clear, audience-specific sessions on responsible AI, applied machine learning, and practical decision-making.
Interactive sessions for teams and classrooms that turn abstract concepts into usable frameworks.
Technical articles and explanatory pieces that translate research into careful, readable language.
Early-stage guidance for teams that need help approaching responsible AI with structure and care.
Services
From a keynote to a workshop or a research brief, the format changes while the standards stay consistent: precise language, thoughtful framing, and practical takeaways.
1
Keynotes and panels for conferences, universities, and internal events that need a clear, credible AI perspective.
2
Hands-on sessions for teams who want a practical way to discuss responsible AI, model risks, and good process.
3
Support for early-stage teams building AI features and policy choices with care, clarity, and context.
Teaching impact
The teaching work spans classroom settings, public talks, and team learning. It is structured to help people move from curiosity to judgment, and from judgment to action.
Reach
3,000+
students and professionals taught through courses, talks, and workshops.
Focus
Responsible AI
Applied machine learning · AI education · technical writing
Experience
12
years working in artificial intelligence and machine learning.
Writing
The writing work supports teams, readers, and learners who need a careful explanation of AI topics. It is structured, plainspoken, and shaped for real use.
Articles
Short-form and long-form writing that turns dense ideas into practical, readable guidance for technical audiences.
Audience
The tone stays thoughtful and credible, with enough precision for practitioners and enough clarity for broader audiences.
Invite Dr Ananya Rao
If your audience needs a clear, human view of responsible AI, this is the place to start. Use the contact form on the home page and include your organization, goals, and timing.
Formats
Talks · Workshops · Advisory
Focus
Responsible AI · Education · Applied ML
Best for
Technology leaders, conference organizers, universities, researchers, founders, and professionals interested in AI.