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Limited research has investigated how spirit at work, functioning as a “good barrel,” fosters ethical decision-making (EDM) even in the presence of unethical managerial behavior (“bad apples”). Therefore, this study aims to investigate the spirit at work, a situational variable, as a moderating variable in the relationship between the love of money (LoM), an individual-level factor, and EDM.

A time-lagged survey of the members of the Marketing Association of Pakistan was conducted. The data were analyzed using partial least square structural equation modeling.

Adding to much of the existing research, which finds that LoM can influence ethical intention directly, this research finds that LoM influences ethical intention only through ethical judgment. Moreover, the spirit at work tempers the negative relationship between LoM and ethical judgment, thereby mitigating LoM’s detrimental effects not only on ethical judgment but also its downstream effects on ethical intention.

Organizations, by planting the seeds of spirit at work, can institutionalize good barrels, which can alleviate the negative effects of the marketing managers’ LoM, the root cause of unethical behavior. This way, this study establishes a business case for spirit at work.

The novelty of this study is the development and investigation of a holistic conceptual framework for EDM of marketing professionals that incorporates LoM as an antecedent, ethical judgment as an underlying mechanism, ethical intention as an outcome variable and spirit at work as a boundary condition.

The study aims to identify the practical borders of AI legal personality and accountability in human-centric services.

Using a framework tailored for AI studies, this research analyses structured interview data collected from auditors based in Poland.

The study identified new constructs to complement the taxonomy of arguments for AI legal personality: cognitive strain, consciousness, cyborg paradox, reasoning replicability, relativism, AI misuse, excessive human effort and substitution.

The insights presented herein are primarily derived from the perspectives of Polish auditors. There is a need for further exploration into the viewpoints of other key stakeholders, such as lawyers, judges and policymakers, across various global contexts.

The findings of this study hold significant potential to guide the formulation of regulatory frameworks tailored to AI applications in human-centric services. The proposed sui generis AI personality institution offers a dynamic and adaptable alternative to conventional legal personality models.

The outcomes of this research contribute to the ongoing public discourse on AI’s societal impact. It encourages a balanced assessment of the potential advantages and challenges associated with granting legal personality to AI systems.

This paper advocates for establishing a sui generis AI personality institution alongside a joint accountability model. This dual framework addresses the current uncertainties surrounding human, general AI and super AI characteristics and facilitates the joint accountability of responsible AI entities and their ultimate beneficiaries.