The human-AI relationship in decision-making: AI explanation to support people on justifying their decisions

• URL: http://arxiv.org/abs/2102.05460v1
• Date: Wed, 10 Feb 2021 14:28:34 GMT
• Title: The human-AI relationship in decision-making: AI explanation to support people on justifying their decisions
• Authors: Juliana Jansen Ferreira and Mateus Monteiro
• Abstract summary: People need more awareness of how AI works and its outcomes to build a relationship with that system. In decision-making scenarios, people need more awareness of how AI works and its outcomes to build a relationship with that system.
• Score: 4.169915659794568
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The explanation dimension of Artificial Intelligence (AI) based system has been a hot topic for the past years. Different communities have raised concerns about the increasing presence of AI in people's everyday tasks and how it can affect people's lives. There is a lot of research addressing the interpretability and transparency concepts of explainable AI (XAI), which are usually related to algorithms and Machine Learning (ML) models. But in decision-making scenarios, people need more awareness of how AI works and its outcomes to build a relationship with that system. Decision-makers usually need to justify their decision to others in different domains. If that decision is somehow based on or influenced by an AI-system outcome, the explanation about how the AI reached that result is key to building trust between AI and humans in decision-making scenarios. In this position paper, we discuss the role of XAI in decision-making scenarios, our vision of Decision-Making with AI-system in the loop, and explore one case from the literature about how XAI can impact people justifying their decisions, considering the importance of building the human-AI relationship for those scenarios.

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