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Home > Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 36 > No. 11: IAAI-22, EAAI-22, AAAI-22 Special Programs and Special Track, Student Papers and Demonstrations

FairFoody: Bringing In Fairness in Food Delivery

February 1, 2023

Authors

Anjali Gupta

IIT Delhi


Rahul Yadav

IIT Delhi


Ashish Nair

IIT Delhi


Abhijnan Chakraborty

IIT Delhi


Sayan Ranu

IIT Delhi


Amitabha Bagchi

IIT Delhi


Proceedings:

No. 11: IAAI-22, EAAI-22, AAAI-22 Special Programs and Special Track, Student Papers and Demonstrations

Volume

Issue:

Proceedings of the AAAI Conference on Artificial Intelligence, 36

Track:

AAAI Special Track on AI for Social Impact

Downloads:

Download PDF

Abstract:

Along with the rapid growth and rise to prominence of food delivery platforms, concerns have also risen about the terms of employment of the ``gig workers'' underpinning this growth. Our analysis on data derived from a real-world food delivery platform across three large cities from India show that there is significant inequality in the money delivery agents earn. In this paper, we formulate the problem of fair income distribution among agents while also ensuring timely food delivery. We establish that the problem is not only NP-hard but also inapproximable in polynomial time. We overcome this computational bottleneck through a novel matching algorithm called FairFoody. Extensive experiments over real-world food delivery datasets show FairFoody imparts up to 10 times improvement in equitable income distribution when compared to baseline strategies, while also ensuring minimal impact on customer experience.

DOI:

10.1609/aaai.v36i11.21447


AAAI

Proceedings of the AAAI Conference on Artificial Intelligence, 36



Topics: AAAI

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