AI and Human-Machine Collaboration

Expertise

Transparency And Collaboration

PARC’s work in Artificial Intelligence (AI) and Human-Machine Collaboration is at the forefront of a new, transformative era of machine intelligence. This new breed of intelligent systems is characterized by trust and understanding, creating a path for autonomous and self-learning systems to play an ever more important and collaborative role in our everyday lives.

We believe that partnering with machines is integral to the future of AI and the future of work. That’s why our team is focusing its work on explainability and collaboration, developing theories and experimental systems to build fully explainable AI systems and solve real innovation problems in new ways.

Our ability to understand and explain AI systems is built upon a wide range of Competencies, including interactive machine learning, human-machine collaboration, cognitive modeling, and data science. So when you work with us, you’ll benefit from a unique combination of capabilities and Competencies, as well as a wide and diverse knowledge base. As Artificial Intelligence and Human-Machine Collaboration develops and grows, we at PARC will help businesses and organizations across sectors solve challenges, answer questions and improve the human experience of technology.

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“Can AI learn from people? Can people learn from AI? The prospect of creating systems that can better collaborate with humans, figuring out how we build this common ground, is what excites me most about the future of AI, and PARC’s role in that future.”

Mark Stefik, Research Fellow, Human-Machine Collaboration, PARC

Additional information

Focus Areas

Our work is centered around a series of Focus Areas that we believe are the future of science and technology.

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Licensing & Commercialization Opportunities

We’re continually developing new technologies, many of which are available for Commercialization.

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News

PARC scientists and staffers are active members and contributors to the science and technology communities.

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