Corporate responsibility in the age of artificial intelligence: a novel perspective and actionable solutions

Purpose This study aims to examine the evolving nature of corporate responsibility in the era of artificial intelligence (AI)-enabled technologies and challenges the applicability of traditional accountability frameworks to autonomous and interactive technologies. Design/methodology/approach Using a conceptual and interdisciplinary approach, this paper synthesizes insights from information systems, philosophy and business strategy. It introduces a theoretical model explaining how AI training objectives influence user ambivalence, corporate social responsibility and corporate financial performance. Findings This study reveals that AI systems, which actively shape user experiences, are influenced by business strategies designed to maximize user engagement. This often contributes to adverse outcomes such as addiction and psychological discomfort. This paper proposes that amending AI objectives to prioritize user well-being can reduce user ambivalence and increase platform adoption and loyalty, benefiting both users and corporations. Research limitations/implications As a conceptual paper, empirical validation of the proposed framework is needed. Future research should focus on operationalizing user well-being metrics and testing the model in real-world settings through collaboration with technology firms. Practical implications Technology providers can enhance both user retention and profitability by aligning AI systems with users’ well-being, positioning themselves as socially responsible entities. Social implications This paper calls for a paradigm shift in how responsibility is distributed in human–AI interactions, urging greater corporate accountability to protect users’ well-being in digital environments. Originality/value This work is novel in its philosophical challenge to the traditional logic of toolmaker nonliability and in proposing a dual-benefit solution that integrates ethical AI design with strategic business alignment, without requiring radical business model changes.