AI and Bias in Recruitment: Ensuring Fairness in Algorithmic Hiring.
The integration of Artificial Intelligence (AI) in recruitment processes has revolutionized hiring by increasing efficiency, reducing time-to-hire, and enabling data-driven decision-making. However, despite these advancements, concerns about algorithmic bias and fairness remain central to ethical AI deployment. This paper explores...
Ethical Considerations in Cloud AI: Addressing Bias and Fairness in Algorithmic Systems
Artificial intelligence systems deployed through cloud infrastructure have transformed numerous sectors while simultaneously raising critical ethical concerns regarding bias and fairness. This article examines the multifaceted nature of algorithmic bias in cloud AI systems, presenting quantitative evidence of disparities across...
How Can the Law Address the Effects of Algorithmic Bias in the Healthcare Context?
This paper examines how UK ‘hard laws’ can adapt to regulate algorithmic bias in the healthcare context. I explore the causes of algorithmic bias which sets the foundation for how the law will address this issue. I critically analyse elements...
Ethical Considerations in AI: Bias Mitigation and Fairness in Algorithmic Decision Making
The rapid integration of artificial intelligence (AI) into critical decision-making domains—such as healthcare, finance, law enforcement, and hiring—has raised significant ethical concerns regarding bias and fairness. Algorithmic decision-making systems, if not carefully designed and monitored, risk perpetuating and amplifying societal...
Data bias, algorithmic discrimination and the fairness issues of individual credit accessibility
PurposeThis study examines the impact of data bias and algorithmic discrimination on individual credit accessibility in China’s financial system. It aims to align financial inclusion and equity goals with statistical fairness conditions by constructing fairness metrics from multiple dimensions. The...
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ICLR 2026 Call for Socials
ICLR supports the strong community-building role that is so central to the conference. We hope to create opportunities for all participants to meet new people and to share knowledge, best-practices, opportunities, and interests. A Social is a participant-led meeting centered...
Policies on Large Language Model Usage at ICLR 2026