AI for hiring in context: a perspective on overcoming the unique challenges of employment research to mitigate disparate impact

Kassir, Sara; Baker, Lewis; Dolphin, Jackson; Polli, Frida

doi:10.1007/s43681-022-00208-x

Cited by 14 publications

(9 citation statements)

References 78 publications

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“…Ethical considerations extend beyond job displacement to the accessibility of opportunities created by AI. Companies must prioritize inclusivity in hiring and talent development, ensuring that individuals from diverse backgrounds have equal access to positions created or transformed by AI technologies (Kassir et al, 2023). This commitment to equitable opportunities aligns with principles of social justice and fairness.…”

Section: Socio-economic Impact Of Aimentioning

confidence: 99%

AI and ethics in business: A comprehensive review of responsible AI practices and corporate responsibility

Funmilola Olatundun Olatoye,

Kehinde Feranmi Awonuga,

Noluthando Zamanjomane Mhlongo

et al. 2024

Int. J. Sci. Res. Arch.

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As artificial intelligence (AI) continues to revolutionize business landscapes, the ethical implications of its deployment have garnered significant attention. This paper presents a comprehensive review of the intersection between AI and ethics in the context of corporate responsibility. The integration of AI into business processes necessitates a thorough understanding of responsible AI practices to ensure that technological advancements align with ethical standards and societal values. The first dimension explored in this review is the critical importance of transparency in AI algorithms and decision-making processes. Businesses adopting AI technologies must prioritize transparency to build trust among stakeholders, ensuring that the decision-making processes are understandable and accountable. Ethical considerations also extend to issues of bias and fairness, prompting the need for diverse and inclusive datasets to prevent discriminatory outcomes. Corporate responsibility in the realm of AI extends beyond technical aspects, encompassing the broader socio-economic impact of AI implementation. The review highlights the significance of considering the effects of AI on employment, inequality, and accessibility. Businesses are urged to adopt ethical guidelines that prioritize the well-being of employees and society at large, mitigating the potential negative consequences of AI on employment dynamics and social structures. Furthermore, the paper delves into the ethical considerations surrounding data privacy and security, emphasizing the importance of responsible data handling practices. As businesses accumulate vast amounts of data, it becomes imperative to prioritize the protection of individuals' privacy rights, reinforcing the ethical foundation of AI applications. This comprehensive review underscores the need for businesses to integrate responsible AI practices within the framework of corporate responsibility. By prioritizing transparency, fairness, and ethical data practices, organizations can navigate the complex terrain of AI implementation while ensuring alignment with societal values and ethical standards. This synthesis of AI and ethics in business is essential for fostering a sustainable and responsible technological future.

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Section: Socio-economic Impact Of Aimentioning

confidence: 99%

AI and ethics in business: A comprehensive review of responsible AI practices and corporate responsibility

Funmilola Olatundun Olatoye,

Kehinde Feranmi Awonuga,

Noluthando Zamanjomane Mhlongo

et al. 2024

Int. J. Sci. Res. Arch.

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“…Through a critical examination of the design, implementation, and consequences of AI recruiting tools, it is possible to identify potential sources of bias and subsequently implement corrective measures. The successful resolution of this issue necessitates the adoption of a multidisciplinary approach, which entails the integration of technical proficiency with perspectives derived from the fields of social sciences, ethics, and law [21].…”

Section: The Utilisation Of Biased Ai Tools By Organisations Can Have...mentioning

confidence: 99%

“…Companies restrict their ability to tap into a diverse pool of skills, experiences, and perspectives by disregarding qualified candidates due to irrelevant or discriminatory criteria. The aforementioned circumstance has the potential to impede the progress of innovation and diminish the organization's ability to remain competitive within the global market[21].…”

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confidence: 99%

Enhancing diversity and reducing bias in recruitment through AI: a review of strategies and challenges

Vivek

2023

ИЭУ

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This study explores the interaction between conventional hiring practices and the growing impact of technology in the ever-changing field of recruitment. In the current era of globalisation and the recent surge in remote work, especially in the aftermath of the COVID-19 pandemic, the traditional limitations of talent acquisition have been transcended, extending beyond geographical boundaries. The advent of digital platforms, online job boards, and social media channels has brought about a paradigm shift in the way organisations connect with potential candidates. This transformation has resulted in a more expansive and varied talent pool, thereby enhancing the recruitment process. However, the process of digitization presents a unique set of challenges, specifically the complex task of managing and analysing large volumes of data, as well as the need to ensure fair and efficient recruitment procedures. This report highlights the significant importance of Artificial Intelligence (AI) in addressing these challenges, emphasising its potential to improve efficiency, fairness, and scalability in the hiring process. The study emphasises the importance of incorporating artificial intelligence (AI) into contemporary recruitment approaches. It advocates for a balanced combination of technological advancements and human expertise.

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“…Despite the provisions of the Equality Act, questions persist about the enduring presence of hiring procedures that disproportionately affect minority groups in developed nations, although efforts were initiated during the civil rights era to eliminate such biases [12]. Since the hiring practices in the 1960s were tailored to white middle-class men, new instruments were required to create equal access to opportunities for women and people of color.…”

Section: Introductionmentioning

confidence: 99%

“…Since the hiring practices in the 1960s were tailored to white middle-class men, new instruments were required to create equal access to opportunities for women and people of color. Sadly, this objective remains unrealized despite the advances in scientific research on human aptitudes [12]. Sociologist Lincoln Quillian and his colleagues conducted a comprehensive examination of hiring practices across nine European and North American countries.…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Review of AI Techniques for Addressing Algorithmic Bias in Job Hiring

Albaroudi,

Mansouri,

Alameer

2024

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The study comprehensively reviews artificial intelligence (AI) techniques for addressing algorithmic bias in job hiring. More businesses are using AI in curriculum vitae (CV) screening. While the move improves efficiency in the recruitment process, it is vulnerable to biases, which have adverse effects on organizations and the broader society. This research aims to analyze case studies on AI hiring to demonstrate both successful implementations and instances of bias. It also seeks to evaluate the impact of algorithmic bias and the strategies to mitigate it. The basic design of the study entails undertaking a systematic review of existing literature and research studies that focus on artificial intelligence techniques employed to mitigate bias in hiring. The results demonstrate that the correction of the vector space and data augmentation are effective natural language processing (NLP) and deep learning techniques for mitigating algorithmic bias in hiring. The findings underscore the potential of artificial intelligence techniques in promoting fairness and diversity in the hiring process with the application of artificial intelligence techniques. The study contributes to human resource practice by enhancing hiring algorithms’ fairness. It recommends the need for collaboration between machines and humans to enhance the fairness of the hiring process. The results can help AI developers make algorithmic changes needed to enhance fairness in AI-driven tools. This will enable the development of ethical hiring tools, contributing to fairness in society.

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AI for hiring in context: a perspective on overcoming the unique challenges of employment research to mitigate disparate impact

Cited by 14 publications

References 78 publications

AI and ethics in business: A comprehensive review of responsible AI practices and corporate responsibility

AI and ethics in business: A comprehensive review of responsible AI practices and corporate responsibility

Enhancing diversity and reducing bias in recruitment through AI: a review of strategies and challenges

A Comprehensive Review of AI Techniques for Addressing Algorithmic Bias in Job Hiring

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