Bringing Humans at the Epicenter of Artificial Intelligence: A Confluence of AI, HCI and Human Centered Computing

Vishwarupe, Varad; Maheshwari, Shrey; Deshmukh, Aseem; Mhaisalkar, Shweta; Joshi, P.N.; Mathias, Nicole

doi:10.1016/j.procs.2022.08.111

Cited by 11 publications

(1 citation statement)

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“…Most works focus on ethical challenges, distributive justice, discrimination, exclusion, transparency, communication and perception (Abdelaal 2021;Boada, Maestre, and Genís 2021;Giermindl et al 2022;Dwivedi et al 2023;Heyder, Passlack, and Posegga 2023). From the ethics perspective for example, several authors observed there are certain research gaps in exploring the topic when it comes to human-AI interaction taking into account complexity, limitations, restrictive character, duty ethics focus, information systems technical stance which rule out quite frequent the human actor and behavior (Te'eni et al 2019;Amershi et al 2019;Siau and Wang 2020;Berente et al 2021;Islam and Greenwood 2021;Mirbabaie et al 2022). Moreover, Heyder, Passlack and Posega (2023) described and explained in a conceptual framework the major notions from the scholar database that should accompany AI ethics research and development in vital keys such as: transparency, accountability, privacy, security, justice, fairness, benefits, sustainability, responsibility, autonomy and humanity.…”

Section: Introductionmentioning

confidence: 99%

Human centricity and technology advances research in social sciences: A literature insight on artificial intelligence

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2023

Social Change Review

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Evolving technology and human-machine interaction are two major stances that question human centricity as a core dimension for the future placement of human variables and social perspectives inside intelligent systems. The present paper explores present challenges and an up to date research synthesis concerning social sciences dimensions, theories, concepts and implementation with regard to the study of human centred artificial intelligence. The main scope consists of drawing several red lines for future research and theoretical social insights on artificial intelligence at work. Following a scholarly literature insight and several reference works, the study explores major topics of interest analysed so far and proposes new directions for the evaluation of human variables and machine learning at work in an organizational setting. Results showed there is a vital need for expanding research from human centricity point of view on the present matter, where studies are still scarce and heterogenous. Moreover, concept clarification and theoretical explanations are yet to be sufficient in explaining people interactions and management of artificial intelligence at the workplace. In conclusion human empowerment at work through ethical and person oriented intelligent systems in a given organizational context can ensure a fair and efficient development of people’s skills, professional objectives or level of performance while promoting human values, ethical principles and preserving the well-being. The paper presents also several practical implications of social sciences domain on artificial intelligence exploration and a few future directions for research.

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