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Start:

June 18, 2020 11:00am

End:

June 18, 2020 12:00pm

Provided by:

NetHope's Emerging Technologies Initiative

AI Ethics Webinar Series: Part III

NetHope, USAID, MIT D-Lab, and Plan International are working together to deliver a set of webinars to equip the social impact sector with the information it needs to implement AI responsibly and ethically.

 

After viewing the webinar recording below, please spare a few seconds of your time to help us make these webinars even better. Many thanks!

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NetHope, USAID, MIT D-Lab, and Plan International are working together to deliver a set of webinars to equip the social impact sector with the information it needs to implement AI responsibly and ethically.

In this webinar, explore ethical considerations specifically, fairness across all stages of a Machine Learning project from problem definition and data collection to model creation, implementation, and maintenance.

This webinar is part of the AI Ethics webinar series and we recommend attendance at all three webinars to get the most complete overview of this topic. We also invite you to share with us other AI ethics topics you'd like to see covered in future webinars. Please email your ideas to Leila Toplic; please include topics and potential speakers.

Host

Leila Toplic, Lead for Emerging Technologies Initiative, NetHope

Speakers

Amit Gandhi, Instructor, MIT D-Lab
Amy Paul, Technical Advisor, USAID Center for Digital Development

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