Machine learning-based system for detecting and mitigating biases in human resource (HR) processes such as recruitment, has data aggregation, bias detection, and bias mitigation modules, where fairness-aware algorithms are employed to analyze HR data and identify discriminatory patterns
	PATIL G R; JOWERTS B G; KAUSHIK N; MEKALE S S
	2025-01-06
专利权人	PATIL G R (PATI-Individual) ; JOWERTS B G (JOWE-Individual) ; KAUSHIK N (KAUS-Individual) ; MEKALE S S (MEKA-Individual)
申请日期	2025-01-06
专利号	IN202511001068-A
成果简介	NOVELTY - The machine learning-based system has data aggregation, bias detection, and bias mitigation modules. The fairness-aware algorithms are employed to analyze HR data and identify discriminatory patterns based on demographic factors. A preprocessing mechanism is provided to clean, and structure data while ensuring privacy compliance. The actionable recommendations are provided to address identified biases and simulate the impact of corrective measures. A continuous feedback loop is incorporated to refine machine learning models and improve bias detection accuracy over time. The real-time analytics and visual insights are provided through a user-friendly interface. The compliance is ensured with legal and ethical standards for workplace fairness and diversity. USE - Machine learning-based system for detecting and mitigating biases in human resource (HR) processes such as recruitment, performance evaluation, promotion, termination, employee engagement, and retention strategies, used in organization. ADVANTAGE - The system ensures fairness in decision-making, enhances the organization's reputation and aligning with ethical standards. The system saves time and resources for HR teams while reducing the risk of discriminatory practices by automating bias detection. The organizations achieve compliance with equal employment opportunity laws, improve workplace diversity, and enhance employee satisfaction and retention. The user-friendly dashboard provides visual analytics, allowing HR professionals to track bias metrics, monitor interventions, and generate compliance reports. The feedback loop enables HR professionals are enabled to validate model outputs, provide corrections, and refine the system, and improve accuracy over time.
IPC 分类号	G06N-020/00 ; G06Q-010/00 ; G06Q-010/0637 ; G06Q-010/067 ; G06Q-010/10 ; G06Q-010/105 ; G06Q-010/1053
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/13631
专题	中国科学院新疆生态与地理研究所
作者单位	1.PATIL G R (PATI-Individual) 2.JOWERTS B G (JOWE-Individual) 3.KAUSHIK N (KAUS-Individual) 4.MEKALE S S (MEKA-Individual)
推荐引用方式 GB/T 7714	PATIL G R,JOWERTS B G,KAUSHIK N,et al. Machine learning-based system for detecting and mitigating biases in human resource (HR) processes such as recruitment, has data aggregation, bias detection, and bias mitigation modules, where fairness-aware algorithms are employed to analyze HR data and identify discriminatory patterns. IN202511001068-A[P]. 2025.

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