'Why Didn't You Allocate This Task to Them?' Negotiation-Aware Task Allocation and Contrastive Explanation Generation
Abstract
In this work, we design an Artificially Intelligent Task Allocator (AITA) that proposes a task allocation for a team of humans. A key property of this allocation is that when an agent with imperfect knowledge (about their teammate's costs and/or the team's performance metric) contests the allocation with a counterfactual, a contrastive explanation can always be provided to showcase why the proposed allocation is better than the proposed counterfactual. For this, we consider a negotiation process that produces a negotiation-aware task allocation and, when contested, leverages a negotiation tree to provide a contrastive explanation. With human subject studies, we show that the proposed allocation indeed appears fair to a majority of participants and, when not, the explanations generated are judged as convincing and easy to comprehend.
Cite
Text
Zahedi et al. "'Why Didn't You Allocate This Task to Them?' Negotiation-Aware Task Allocation and Contrastive Explanation Generation." AAAI Conference on Artificial Intelligence, 2024. doi:10.1609/AAAI.V38I9.28890Markdown
[Zahedi et al. "'Why Didn't You Allocate This Task to Them?' Negotiation-Aware Task Allocation and Contrastive Explanation Generation." AAAI Conference on Artificial Intelligence, 2024.](https://mlanthology.org/aaai/2024/zahedi2024aaai-didn/) doi:10.1609/AAAI.V38I9.28890BibTeX
@inproceedings{zahedi2024aaai-didn,
title = {{'Why Didn't You Allocate This Task to Them?' Negotiation-Aware Task Allocation and Contrastive Explanation Generation}},
author = {Zahedi, Zahra and Sengupta, Sailik and Kambhampati, Subbarao},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2024},
pages = {10243-10251},
doi = {10.1609/AAAI.V38I9.28890},
url = {https://mlanthology.org/aaai/2024/zahedi2024aaai-didn/}
}