TORONTO, May 21, 2024 (GLOBE NEWSWIRE) — The 2nd AI Global Forum will be held in South Korea next week, bringing together government officials, business leaders, civil society, and academics from around the world to discuss the future of AI. Masu.
of Vector Institute has partnered with world-class researchers conducting research on AI reliability and safety and will be able to provide comments in preparation for and during the AI Global Forum.
In addition, Vector's President and Representative Director, Tony Gaffney will be able to attend the forum in South Korea on Wednesday, May 22, 2024 in person and receive comments locally.
Available media:
Experts will discuss trust and safety in AI before and during the AI Global Forum.
AI reliability and safety experts at Vector Institute:
Jeff Clune
Jeff focuses on deep learning, including deep reinforcement learning. His research also focuses on AI safety, including improving regulatory recommendations and agent interpretability.
roger gross
Roger's research investigates the dynamics of training in deep learning. He applies his own expertise to fine-tuning his AI to ensure its advances align with human values. Some of his recent research has focused on gaining a deeper understanding of how language models work in order to avoid potential risks in deploying them at scale.
Gillian Hadfield
Gillian's current research focuses on the innovative design of legal and regulatory systems for AI and other complex global technologies. A computational model of the human norm system. He also works with machine learning researchers to understand and build his ML systems to respond to human norms.
Sheila McIleis
Sheila's research focuses on sequential decision making in human-compatible AI, with an emphasis on safety, collaboration, and fairness, and her recent work has explored the impact of ethics education for computer science students.
Rahul G. Krishnan
Rahul's research focuses on building robust and generalizable machine learning algorithms to advance computational medicine. His recent research has developed new algorithms for causal decision-making and constructed risk scores for patients on the transplant waiting list for predictive models deployed in high-risk settings. We created an automatic guardrail for.
Xiaoxiao Li
Xiaoxiao specializes in the interdisciplinary fields of deep learning and biomedical data analysis. Her main mission is to increase the reliability of her AI, especially when it comes to sensitive areas such as medicine.
nicolas papenot
Nicolas' research focuses on advancing privacy-preserving techniques in deep learning and more secure and reliable machine learning models.
About Vector Research Institute
Founded in 2017, Vector Institute works with industry, institutions, startups, and governments to develop AI talent, advance AI research excellence, develop and sustain AI-based innovation, and drive economic growth. and improve the lives of Canadians. Vector aims to advance AI research through programs for talent, commercialization, and applications, increase adoption in industry and health care, and lead Canada toward the responsible use of AI. Led by his top AI practitioners, our industry programs provide a foundation for product and process applications, company-specific guidance, expert training, and connections to work-ready talent. Vector is funded by the Province of Ontario, the Government of Canada's Pan-Canadian AI Strategy, and key industry sponsors across multiple sectors of Canadian industry.
This availability is for media only.
For more information or to schedule an appointment with an AI expert, please contact: media@vectorinstitute.ai
