Neuro-symbolic AI combines knowledge-driven symbolic AI and data-driven machine learning approaches. The main goal of this research area is to provide AI with increased capability to derive knowledge and general concepts from data and use them, for example:

• To reasongeneralize to other tasks
• Use less data to learn a new task
• Understand causality
• Be able to move from prediction to intervention
• Support knowledge-based decision making

This workshop will include talks from IBM researchers and other academic AI experts. The speakers will share an overview of neuro-symbolic AI technologies, achievements to date, and future direction for the field. The workshop will also include a panel discussion on the future of AI and the possible role of neuro-symbolic AI approaches.

The variety of topics, presentation modalities, and stakeholders will allow the audience of this workshop to reflect on the best path to advance AI in a way that is at the same time scientifically inspiring, economically sustainable, and beneficial to society.