| Autor: |
MOLTENI, MEGAN, SIMONITE, TOM, GREENBERG, ANDY, NEWMAN, LILY HAY, Herbst, Meghan, RATHOD, SARASWATI, KAHN, JENNIFER, CHARLES, J. BRIAN, BARBER, GREGORY, KEHE, JASON, Streshinsky, Maria, OBERHAUS, DANIEL, Gravois, John, Barrett, Brian, WOFFORD, BENJAMIN, RICE, ANDREW, Simon, Matt, LYDGATE, ANTHONY, FORE, MEREDITH |
| Předmět: |
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| Zdroj: |
Wired; Nov2019, Vol. 27 Issue 11, p47-73, 27p, 14 Color Photographs, 18 Black and White Photographs, 2 Diagrams |
| Abstrakt: |
Buolamwini, now working on a PhD at MIT, is among those pressing companies and governments to be more cautious in their embrace of AI. In September, that subcommittee asked more than 80 companies for accounts of how they'd been harmed by Amazon, Apple, Facebook, and Google. Her startup, Oasis Labs, is built on the idea of differential privacy - cryptographic techniques that allow companies to incorporate data into their algorithms without seeing the individual data points. For young companies that want to accept payments - especially tech startups, which are Stripe's core clientele - that can be a costly time suck. It's a fix, he says, for "platform risk": when a big company lures in startups to build products that rely on the giant's troves of user data, only to cut off access to that data later. [Extracted from the article] |
| Databáze: |
Complementary Index |
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