Technical, Business-Minded, Engaging

Katharine Jarmul gives technical talks that are appropriate for a range of audiences — from purely business to software engineers to machine learning practitioners. Her engaging style and practical approach make topics like privacy and security in machine learning understandable and interesting to all, not just the subject matter experts in the room. She prepares individual research and tailored content for each engagement.

Want to invite Katharine to speak at your conference? Reach out via email or our contact form.

Recent Speaking Highlights

Personalized AI (2024) - Keynote at PyData Paris

Technical Talk: Your Model Probably Memorized the Training Data (2024)

PyData Amsterdam Keynote: AI Without Dystopia (2023)

Keynote at QCon.AI: Privacy: The Last Stand for Fair Algorithms (Revisited) (2019)

Podcast Interview: Ethical Machine Learning on InfoQ Podcast (2019)

Strangeloop: Privacy: The Last Stand for Fair Algorithms (2018)

34c3: Deep Learning Blindspots (2017)

QCon Sao Paolo: Ethical Machine Learning (2017)

Keynote: Ethical Machine Learning: Creating Fair Models in an Unjust World (2016)