๐๐ ๐บ๐ถ๐ฟ๐ฟ๐ผ๐ฟ๐ ๐๐ผ๐ฐ๐ถ๐ฒ๐๐ฎ๐น ๐ฏ๐ถ๐ฎ๐๐ฒ๐ โwhen you ask for an image of a โ๐ต๐ผ๐บ๐ฒ๐บ๐ฎ๐ธ๐ฒ๐ฟ,โ it likely generates a woman. But why? Because technology learns from human data. This reel dives into how these biases shape our world and why young women are working harder than ever to redefine roles and break stereotypes.
๐ฅ ๐ช๐ฎ๐๐ฐ๐ต ๐ป๐ผ๐ ๐๐ผ ๐ฐ๐ต๐ฎ๐น๐น๐ฒ๐ป๐ด๐ฒ ๐๐ต๐ฒ ๐ฏ๐ถ๐ฎ๐, ๐๐ฝ๐ฎ๐ฟ๐ธ ๐ฐ๐ต๐ฎ๐ป๐ด๐ฒ, ๐ฎ๐ป๐ฑ ๐ฏ๐ฒ ๐ฝ๐ฎ๐ฟ๐ ๐ผ๐ณ ๐๐ต๐ฒ ๐ฐ๐ผ๐ป๐๐ฒ๐ฟ๐๐ฎ๐๐ถ๐ผ๐ป! ๐๐ฒ๐โ๐ ๐๐ต๐ฎ๐ฝ๐ฒ ๐ฎ ๐ณ๐๐๐๐ฟ๐ฒ ๐๐ต๐ฒ๐ฟ๐ฒ ๐๐ฒ๐ฐ๐ต๐ป๐ผ๐น๐ผ๐ด๐ ๐ฟ๐ฒ๐ฝ๐ฟ๐ฒ๐๐ฒ๐ป๐๐ ๐ฒ๐๐ฒ๐ฟ๐๐ผ๐ป๐ฒ ๐ฒ๐พ๐๐ฎ๐น๐น๐.
Watch the full podcast of Staying Indian by Gaurav Lakhwani with
@sanyogeetalawande7624 on YouTube!
#BreakTheBias #AIRepresentation #WomenInTech #GenderEquality #FutureIsEqual