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AI for Good Seminar Series - AI for Earth and the Environment

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

AI for Good Seminar Series - AI for Nonprofits

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.

Panelists:

AI for Good Seminar Series - Is AI a Force for Good?

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.

Panelists:

Research as Praxis: Research Positionality

This workshop series is designed for Stanford graduate students interested in learning more about and developing their skills in community-engaged scholarship and community-based research. Invited speakers include leaders and practitioners across disciplinary fields. Sessions will be held over lunch. Please check the website for location confirmation: haas.stanford.edu.

Please RSVP here for an accurate headcount for food.

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