AI for Human Rights
AI for Human Rights
AI for Healthcare
Improving health requires targeting and evidence. Marzyeh tackles part of this puzzle with machine learning. This session will cover some of the novel technical opportunities for machine learning in health challenges, and the important progress to be made with careful application to domain.
AI for Government
In what areas of government can AI be effective? Where does AI pose a risk to systems of government? What role do governments play in policing how AI is used? This session will explore these and other questions about the role of AI in government.
David Freeman Engstrom - Professor and Associate Dean for Strategic Initiatives, Stanford Law School
AI for Earth and the Environment
How can AI and machine learning be leveraged to mitigate the impact of human activities on earth’s natural systems? Learn about data science tools and strategies being used to safeguard our water supply, feed the worldwide human population, and promote greater biodiversity and global sustainability.
Lucas Joppa, Chief Environmental Officer, Microsoft
The Nonprofit Sector | Google AI Impact Challenge Grantees
Breakthroughs in technology often have humble origins. Through it's Google AI Impact Challenge grant program, Google.org lends a helping hand to nonprofit innovators and social entrepreneurs who are using the power of AI to address social and environmental challenges. This session will feature a panel of Google.org Impact Challenge Grantees who are using AI and machine learning to tackle issues affecting the environment, educational equity, at-risk youth, and mental helath.
This event is the 2020 Mimi and Peter E. Haas Distinguished Visitor Lecture on Public Service and the University.
“Native American survivance is an active sense of historical presence, a renunciation of political dominance, themes of tragedy, and cultural victimry. Native survivance is a literature of engagement.” – Gerald Vizenor
AI for Good Opening Session: Is AI a Force for Good?
Our first session will lay the framework for our entire series by considering the central question of how AI can be a force for good. As we explore how artificial intelligence can address some of the world’s most vexing issues, we will pair the positive outcomes with crucial awareness of potential unintended consequences. Our panel will discuss considerations to be made to ensure this new era will help humanity and not harm it.
In 1999, Ravi Mhatre founded Lightspeed Venture Partners, a VC firm that has focused on enterprise IT, mobile, and internet and cloud-based services and applications. The firm’s investments have since spurred more than a dozen companies to acquisition and five to IPO. Recently, Mhatre has broadened his horizons to invest in consumer businesses like Cheddar and Stitch Fix.
Mark Gainey is the co-founder and executive chairman of Strava, which launched in 2009 as a web platform that allowed cyclists to track their rides via GPS devices. Two years later, Strava had only around 5,000 members, but soon the rise of GPS-enabled mobile phones and wearable fitness trackers kicked the company into high gear. A decade later, propelled by six fundraising rounds that have brought in $41.9 million, Strava has grown into a platform where more than 40 million athletes around the world communicate, track their workouts and compare their stats.