缅北强奸

Congratulations to Elizabeth Han,听Assistant Professor in Information Systems, who has been听awarded the 2023-2024 FRQSC New Academics Grant听(Soutien 脿 la recherche pour la rel猫ve professorale)

鈥淛ustice et Moralit茅 dans les interactions humain-IA: Reconceptualisation des perceptions en mati猫re de justice et des 茅motions morales鈥�
(鈥淛ustice and Morality in Human-AI Interactions: Reconceptualizing Justice Perceptions and Moral Emotions鈥�)

As artificial intelligence (AI) increasingly permeates humans鈥� lives, people are ever more engaged in AI-driven decision-making. While AI have enhanced the efficiency of decision-making process, several concerns, many related to fairness and ethical usage, have been also raised. Although AI algorithms may heavily influence humans鈥� decisions, making fair and ethical judgments based on AI-produced insights is ultimately at the users鈥� discretion. Thus, to facilitate fair and ethical AI-driven decision-making, it is essential to understand how moral judgments and behaviors are formed during users鈥� interactions with an AI. Due to the unique social norms and expectations towards an AI, the traditional elements constituting moral judgments and behaviors established in an interpersonal context may not be applicable. Therefore, through randomized experiments and survey data analyses, this project aims to conceptualize two important elements for forming moral judgments and behaviors鈥攋ustice perceptions and moral emotions鈥攄uring human-AI interactions. Specifically, we aim to reconceptualize the underlying dimensions of justice perceptions, identify types of moral emotions relevant to each dimension of justice perceptions, and empirically test the relationship between justice perceptions, moral emotions, and behavioral outcomes in AI-driven decision-making contexts.

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