Women in AI welcomes Joelle Pineau as Honorary Chair Canada: Advancing Scientific Rigor and Inclusion in AI Research

Joelle Pineau, a leading figure in artificial intelligence, has shaped the field through her pioneering work in robotics, dialogue systems, and her advocacy for scientific rigor and inclusion. In this interview, she reflects on her journey, the future of AI, and the importance of community and reproducibility.

Joelle Pineau’s journey into AI began with a spark of curiosity during her undergraduate studies in Engineering at the University of Waterloo. A senior design project introduced her to robotics-a field that captured her imagination and challenged her to venture into the unknown. This initial curiosity evolved into a deeper passion for artificial intelligence and machine learning during her graduate studies at Carnegie Mellon University, where she discovered the transformative power of data and algorithms to solve a wide range of problems.

Looking ahead, Pineau foresees foundational AI models becoming integral across sectors such as healthcare, education, transportation, and logistics. “Over the last 5 years we have seen tremendous progress in building general foundational AI models that can solve a broad set of tasks. In the next five years, I expect to see major deployment of these models across all sectors of our industry and society,” she notes.

With over two decades of research, Pineau has contributed to several subfields of AI. Her early work on dialogue systems helped pioneer some of the first chatbots, while her robotics research led to innovations like robot nursing assistants and smart wheelchairs. Among her proudest achievements is her leadership in advancing evaluation rigor and reproducibility in AI. She created the ML reproducibility checklist in 2018 and has overseen annual ML reproducibility challenges since 2019, setting new standards for scientific transparency and reliability.

As the lead of AI research at Meta and a professor at McGill University, Pineau emphasizes the symbiotic relationship between scientific exploration and real-world application. “The real-world applications keep us honest about the more theoretical scientific work, making sure we make the right assumptions, under the right constraints, and with the right measures of impact,” she explains. This approach has guided her work both in academic healthcare projects and in collaborations between Meta’s Fundamental AI Research (FAIR) team and product teams.

Championing Reproducibility in AI.

Pineau is a recognized advocate for reproducibility in AI research-a principle she considers vital amid the field’s rapid expansion. “The sheer volume of research results in AI is astounding. It can be hard to keep track of what really works, and what is over-hyped. Having a rigorous process for evaluation and reproducibility gives us a way to distinguish this,” she says. She stresses that reproducibility builds confidence in scientific knowledge and enables further discoveries.

Having mentored many students and researchers, Pineau offers advice to young women entering AI: “We each can forge our own path, and define the way we want to pursue a career in research. We don’t need to follow the path of others.” She highlights the value of community and finding a supportive peer group as essential to success and motivation.

As the Honorary Chair for the Women in AI Awards 2025, Pineau expresses her pride in celebrating the achievements of women innovators. “I’m so glad to be celebrating the work of other women who are trail-blazers and bringing new innovation forward. I’m excited to be learning from them, and I’m deeply inspired by what they have achieved.”

Reflecting on Canada’s emergence as a global AI hub, Pineau credits the nation’s strong education system and robust research institutions. These factors, she believes, give Canadian researchers the freedom to take calculated risks and drive the next wave of AI innovation.

Joelle Pineau’s career exemplifies the pursuit of scientific rigor, the importance of inclusion, and the transformative power of AI.

Interview with Joelle Pineau, Curated by Suparna Pawar