After viewing the webinar recording below, please spare a few seconds of your time to help us make these webinars even better. Many thanks!
- Presentation Slides
- If you work for a NetHope member organization, you’re invited to join our AI Working Group
- Part I AI Ethics webinar
- Part II AI Ethics webinar
- Exploring Fairness in Machine Learning for International Development by MIT D-Lab, with the support from USAID
- NetHope AI Suitability Toolkit for Nonprofits, including a framework with 32 questions
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.
Leila Toplic, Lead for Emerging Technologies Initiative, NetHope
Amit Gandhi, Instructor, MIT D-Lab
|Amy Paul, Technical Advisor, USAID Center for Digital Development|