Abstract
As more and more businesses use artificial intelligence (AI) to streamline their employment procedures, moral issues must be taken into account to maintain equity and avoid prejudice. This abstract explores the critical area of moral decision-making in AI-assisted hiring, emphasising methods to guarantee accountability and equity. When AI technologies are used in hiring, problems with algorithmic bias arise that, if not carefully handled, can prolong social injustices. This paper examines the moral implications of AI-powered employment procedures, highlighting the necessity of algorithmic decision-making’s openness and explicability. It looks into how biased training data affects employment decisions and suggests countermeasures to improve equity. The abstract also covers the significance of including a range of viewpoints in the creation and assessment of AI models to prevent the reinforcement of previous societal prejudices. The abstract also emphasisses the need for accountability mechanisms in the implementation of AI-driven recruiting systems, arguing in favour of explicit policies, frequent audits and ongoing observation. This research adds to the existing conversation on responsible AI adoption by highlighting the ethical issues in AI-driven hiring, to promote an efficient, equitable and socially conscious recruitment environment. The study had considered 237 people from recruitment departments of different organisations to know different factors that determine ethical decision-making in AI-driven hiring processes ensuring fairness and accountability and found that Algorithmic Transparency, Legal and Regulatory Compliance, Fairness and Avoidance of Discrimination and Ethical Frameworks are the factors that determines ethical decision-making in AI-driven hiring processes ensuring fairness and accountability.
Keywords: Recruitment, Recruiters, Organisation, AI, Hiring-Process, Decision-Making, Accountability, Fairness
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