The Future of Work Post-Covid and AI
AI will have a profound impact on work, business, and the economy. In this industry brief, we provide a sampling of key research both at HAI and more broadly at Stanford that can help inform the future of work. You will find 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.
Related Industry Briefs
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.
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.
Financial Services and AI
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 we will need to power our post-pandemic world. In this brief you will 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.
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 we will need to power our post-pandemic world. In this brief you will 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.
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.
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.