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This paper aims to identify ethical challenges of using artificial intelligence (AI)-based accounting systems for decision-making and discusses its findings based on Rest's four-component model of antecedents for ethical decision-making. This study derives implications for accounting and auditing scholars and practitioners.

This research is rooted in the hermeneutics tradition of interpretative accounting research, in which the reader and the texts engage in a form of dialogue. To substantiate this dialogue, the authors conduct a theoretically informed, narrative (semi-systematic) literature review spanning the years 2015–2020. This review's narrative is driven by the depicted contexts and the accounting/auditing practices found in selected articles are used as sample instead of the research or methods.

In the thematic coding of the selected papers the authors identify five major ethical challenges of AI-based decision-making in accounting: objectivity, privacy, transparency, accountability and trustworthiness. Using Rest's component model of antecedents for ethical decision-making as a stable framework for our structure, the authors critically discuss the challenges and their relevance for a future human–machine collaboration within varying agency between humans and AI.

This paper contributes to the literature on accounting as a subjectivising as well as mediating practice in a socio-material context. It does so by providing a solid base of arguments that AI alone, despite its enabling and mediating role in accounting, cannot make ethical accounting decisions because it lacks the necessary preconditions in terms of Rest's model of antecedents. What is more, as AI is bound to pre-set goals and subjected to human made conditions despite its autonomous learning and adaptive practices, it lacks true agency. As a consequence, accountability needs to be shared between humans and AI. The authors suggest that related governance as well as internal and external auditing processes need to be adapted in terms of skills and awareness to ensure an ethical AI-based decision-making.

Current accounting practice tends to split environmental complexities into quantifiable, codified elements, producing codified simplifications of the “complex” in pursuit of environmental externalities. This has led to standardization, but has done little to motivate organizations to engage in more environmentally-aware behavior that transcends the coercive dimensions of codification. The work of Alexander von Humboldt (1769–1859) can bring new insights and perspectives to social and environmental accounting (SEA). In discussing Humboldt's philosophy of understanding the interconnectedness between people, their contexts (cultures) and their environment, the authors contribute to the emerging SEA literature on notions of interconnectedness and the web of accountabilities. The authors also explore how a Humboldtian approach may help break through the current epistemological boundaries of SEA by combining accurate measurement with imagery to make the “complex” manageable whilst embracing interconnectedness and hermeneutics.

In this conceptual paper, the authors humbly draw on Humboldt's legacy and explore the underlying philosophical assumptions of Humboldtian science. The authors then contrast these with current SEA approaches in the literature and derive new insights into their intentionality and practical use.

Re-examining Humboldt's pioneering work enables us to pinpoint what might be missing from current SEA approaches and debates. Humboldt upheld an “ethics of precision,” which included both measurement accuracy and qualitative relevance, and combined hands-on scientific fieldwork with the aesthetic ideals and interconnectedness of the age of Romanticism. Drawing on Humboldtian science, the authors propose focusing on the interconnectedness of nature and humanity, embracing the qualitative and hermeneutical and including aesthetics and emotion in environmental visualizations.

The paper elucidates why and how Humboldtian science might inform, guide and enhance the emancipatory potential of SEA in the 21st century. Specifically, the authors discuss Humboldt's approach of linking accurate measurement with imagery to convey a sense of interconnectedness.