Does AI Worsen Gender Inequities?
Failed to add items
Sorry, we are unable to add the item because your shopping basket is already at capacity.
Add to cart failed.
Please try again later
Add to wishlist failed.
Please try again later
Remove from wishlist failed.
Please try again later
Follow podcast failed
Unfollow podcast failed
Does AI Worsen Gender Inequities?
-
Narrated by:
-
Written by:
Machine learning algorithms are increasingly being used to make highly consequential decisions for citizens of the Global South. I talk to Genevieve Smith about how algorithmic decision making in the realm of financial inclusion can lead to inequitable outcomes along gender lines, how that compares to the status quo, and how we can do better as practitioners and researchers.
Genevieve Smith is the founding co-director of the Responsible and Equitable AI Initiative at the Berkley AI Research Lab and is also part of the faculty at Haas. She also serves as a Gender & AI Fellow at USAID and leads research partnerships with big tech firms.
adbl_web_anon_alc_button_suppression_c
No reviews yet