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HTS-AI and Machine Learning:Applying AI for Social Good
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HTS: Artificial Intelligence and Machine Learning: Applying AI for Social Good

 Export to Your Calendar 3/22/2019
When: Friday, March 22, 2019
12:00 pm - 1:00 pm Eastern
Where: Webinar
United States
Contact: Susan Houchins
703-234-4059

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Artificial Intelligence and Machine Learning Subcommittee

Presents -

Applying AI for Social Good

Friday, March 22, 2019


12:00 pm - 1:00 pm Eastern Time
11:00 am- 12:00 pm Central Time
10:00 am- 11:00 am Mountain Time
9:00 am - 10:00 am PacificTime

 

Details:

Artificial intelligence (AI) has the potential to help tackle some of the world’s most challenging social problems from diagnosing cancer to helping blind people navigate their surroundings, identifying victims of online sexual exploitation, and aiding disaster-relief efforts. While AI is not a silver bullet, it is definitely a part of the broader tool kit of measures that can be used to tackle societal issues. In this webinar, we will be looking at domains of social good where AI could be applied, and the most pertinent types of AI capabilities, as well as the bottlenecks and risks that must be overcome and mitigated if AI is to scale up and realize its full potential for social impact. The insights come from an analysis of potential applications for social good from a library of about 160 AI social-impact use cases that suggest that existing capabilities could contribute to tackling cases across all 17 of the UN’s sustainable-development goals, potentially helping hundreds of millions of people in both advanced and emerging countries.


Speakers:


Michael Chui – Dr. Michael Chui is a San Francisco-based partner at the McKinsey Global Institute (MGI), McKinsey's business and economics research arm. He leads research on the impact of disruptive technologies and innovation on business, the economy, and society. Michael has led McKinsey research in such areas as data & analytics, social & collaboration technologies, the Internet of Things, and artificial intelligence, robotics & automation. He is a frequent speaker at major global conferences, and his research has been cited in leading publications around the world

Rita Chung – Rita Chung is a Silicon Valley-based engagement manager at McKinsey & Company, where she focuses on leading projects on digital and analytics transformations at natural resources companies, and also spends time leading research alongside Dr. Michael Chui and others on the potential value that AI can unlock for business and society. She received her BSc in Neuroscience from University College London, and her Master’s in Public Policy at the Harvard Kennedy School

 


  

Registration:
LES Members Price: FREE
Non-Members: FREE
 


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