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The explanation dimension of Artificial Intelligence (AI) based system hasbeen a hot topic for the past years. Different communities have raised concernsabout the increasing presence of AI in people's everyday tasks and how it canaffect people's lives. There is a lot of research addressing theinterpretability and transparency concepts of explainable AI (XAI), which areusually related to algorithms and Machine Learning (ML) models. But indecision-making scenarios, people need more awareness of how AI works and itsoutcomes to build a relationship with that system. Decision-makers usually needto justify their decision to others in different domains. If that decision issomehow based on or influenced by an AI-system outcome, the explanation abouthow the AI reached that result is key to building trust between AI and humansin decision-making scenarios. In this position paper, we discuss the role ofXAI in decision-making scenarios, our vision of Decision-Making with AI-systemin the loop, and explore one case from the literature about how XAI can impactpeople justifying their decisions, considering the importance of building thehuman-AI relationship for those scenarios.

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