Stanford HAI industry briefs provide a valuable bridge between academic research at Stanford and industry stakeholders seeking to understand and help guide the impact of AI technologies. This is done by convening diverse stakeholders across academia, government, civil society, and industry to address the critical technical and societal challenges posed by AI. Given its role in deploying technologies that have global reach, industry is a critical player, providing a path for commercializing and scaling research innovations poised to have significant impact. Review the HAI Industry Brief Announcement.
Environmental, social, and governance risks pose a threat to economies and human well-being around the world. However, we have the power to build a sustainable planet. Recent developments in AI are helping us see issues that were hard to identify before. As machine vision helps us see our world, we are able to detect issues, track them, and create targeted interventions. In this brief, we examine innovations by Stanford researchers that use AI and ML techniques to shift our world from one that depletes resources to one that preserves them for the future. For example, we can now track methane emissions across our energy and food systems, opening an avenue for policy formation and enforcement through near real-time tracing. AI enables knowledge-to-action and will play a key role in measuring and effectively achieving environmental, social, and governance goals.
Robots are becoming a core building block in engineering and healthcare applications, altering the way many industries operate, and improving quality of life for everyone. With AI, robots are further given the ability to learn and adapt so that they can work collaboratively alongside humans and other robots in real-world environments. This industry brief provides a cross-section of key research – at HAI and across Stanford – that leverages AI methods into new algorithms for human robot interaction and robot navigation. Discover how researchers are designing intelligent robots that learn and adapt to human demonstration, and how they could be used to disrupt and create markets in a wide range of industries including manufacturing, healthcare, autonomous vehicles, and many more.
The development of digital learning infrastructure and platforms was driven by innovative AI technologies and accelerated by pandemic-imposed needs. This industry brief provides a cross-section of key AI research – at HAI and across Stanford – that are reshaping how we learn. Discover how researchers are facilitating high-quality personalized learning at scale, creating novel systems augmenting teaching and assessments, designing intentional and inclusive learning environments, and more.
The spike in demand since the onset of COVID-19 for digital services from grocery delivery to banking has catalyzed a reimagining of the digital infrastructure needed to power a post-pandemic world. In this brief, learn where researchers lead the charge in identifying opportunities and pitfalls in deploying AI in financial services. Their work sheds light on how integrating AI can make financial services and their delivery more inclusive, accessible, and effective.
This industry brief focuses on AI research in healthcare and life sciences, with particular attention to its implications in a post COVID-19 world. Stanford HAI synthesize the latest from Stanford faculty across drug discovery, telehealth, ambient intelligence, operational excellence, medical imaging, augmented intelligence, and data and privacy. Read to learn more about how the adoption of AI may transform these applications.
AI will have a profound impact on work, business, and the economy. In this industry brief, Stanford HAI provides a sampling of key research both at HAI and more broadly at Stanford that can help inform the future of work. Find out more about researchers studying how AI can be used to help teams collaborate, improve workplace culture, promote employee well-being, assist humans in dangerous environments, and more.