Abstract

The rapid adoption of artificial intelligence (AI) in recruitment and selection has intensified concerns about fairness, transparency, and the long-term implications of algorithmic decision-making. While existing AI-ethics frameworks emphasise principles such as accountability and non-discrimination, they often remain insufficiently tailored to the distinctive moral stakes of hiring practices and are difficult to operationalise in organisational settings. This article develops a flourishing-oriented self-assessment framework designed to guide knowledge-intensive organisations in the ethical deployment of recruitment AI.

Grounded in the evolution of technology ethics and virtue-ethical accounts of human flourishing, the study adopts a conceptual and deductive qualitative approach to translate abstract normative principles – well-being, dignity, autonomy, and justice – into concrete assessment components and scoring procedures. We further our argument through benchmarking against existing publicly available ethical assessment frameworks that highlight the need for deployer-centred, context-sensitive instruments, particularly within European regulatory environments.

The article concludes that a flourishing-oriented self-assessment offers a practical “middle layer” between ethical theory and technical implementation, enabling organisations to align AI-supported hiring with deeper commitments to equity, professional fulfilment, and sustainable human flourishing

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