Learn about algorithmic fairness in food delivery platforms through this research lecture that examines income inequality among delivery workers in India. Explore novel matching algorithms FAIRFOODY and WORK4FOOD, developed to ensure equitable income distribution while maintaining delivery efficiency. Discover how these algorithms achieve up to 10x improvement in fair income distribution by balancing supply and demand, controlling agent numbers, and providing dynamic payment guarantees based on location and ratings. Presented by Prof. Abhijnan Chakraborty from IIT Delhi, whose research focuses on Computing and Society, Social Computing, and Fairness in Machine Learning, this talk delves into findings published at AAAI and IJCAI conferences, addressing critical challenges in the gig economy while considering both worker welfare and platform sustainability.