Focusing on seven dominant platforms – Uber, Lyft, Amazon Flex, DoorDash, Instacart, Favor, and Shipt – the report accuses these companies of building a business model that avoids employer responsibilities, keeps wages low, and controls workers through opaque and unpredictable algorithms.
Algorithms are trained on vast datasets that reflect historical and societal biases. When these biases go unchecked, they become ingrained in the technology itself, reinforcing discrimination and amplifying online harassment against women.
International experience shows that well-designed TVET systems can reduce youth unemployment, raise female labour force participation, and support economic diversification.
Analyses have flagged the potential for El Niño to push food inflation into double digits in import-dependent economies, compounding pressures on households still recovering from earlier crises.
International experience shows that well-designed TVET systems can reduce youth unemployment, raise female labour force participation, and support economic diversification.
Analyses have flagged the potential for El Niño to push food inflation into double digits in import-dependent economies, compounding pressures on households still recovering from earlier crises.