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Article
Publication date: 1 August 2024

Garry D. Carnegie, Delfina Gomes, Lee D. Parker, Karen McBride and Eva Tsahuridu

This article centres on the pertinence of redefining accounting for tomorrow, particularly for facilitating the attainment of the UN Sustainable Development Goals (SDGs) and…

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Abstract

Purpose

This article centres on the pertinence of redefining accounting for tomorrow, particularly for facilitating the attainment of the UN Sustainable Development Goals (SDGs) and, thereby, for shaping a better world. In aspiring for accounting to reach its full potential as a multidimensional technical, social and moral practice, this paper aims to focus on ideas, initiatives and proposals for realising accounting’s future potential and responsibilities.

Design/methodology/approach

The study deploys a further developed “strategic implementation framework”, initially proposed by Carnegie et al. (2023), with an emphasis on accounting serving “the public interest” so as “to enable the flourishing of organisations, people and nature” (Carnegie et al., 2021a, p. 69; 2021b). It depicts strategies towards the future of accounting and the world.

Findings

Significant opportunities are identified for accounting and accountants, working closely with a diversity of stakeholders, to become alert to and cognisant of the nature, roles, uses and impacts of accounting. The evidence presented notes a predominant inattention of accounting and accountants to the SDGs despite the deteriorating state of our social and natural environment.

Research limitations/implications

Whilst this article examines other articles in this special issue (SI), there is no substitute for carefully reading, reflecting on and deliberating upon these articles individually.

Originality/value

The time for accounting to focus on creating a better world can no longer be extended. Accounting’s full potential will not be realised by remaining in a narrow and complacent, technicist state.

Details

Meditari Accountancy Research, vol. 32 no. 5
Type: Research Article
ISSN: 2049-372X

Keywords

Available. Open Access. Open Access
Article
Publication date: 25 June 2024

Piotr Staszkiewicz, Jarosław Horobiowski, Anna Szelągowska and Agnieszka Maryla Strzelecka

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

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Abstract

Purpose

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

Design/methodology/approach

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

Findings

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.

Research limitations/implications

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.

Practical implications

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.

Social implications

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.

Originality/value

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.

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