Targeted Data Augmentation for Improving Model Robustness by Mikołajczyk-Bareła Agnieszka, Ferlin Maria, Grochowski Michał

Subjects: “…bias mitigation…”
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Post-processing methods for mitigating algorithmic bias in healthcare classification models: An extended umbrella review by Shaina Mackin, Vincent J. Major, Rumi Chunara, Remle Newton-Dame

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Validation of a checklist-style intervention for mitigation of availability bias in professional designers by Anastasia Schauer, Habeeb Afolabi, Katherine Fu

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Ethical, Legal, and Socioeconomic Aspects of Implementing Artificial Intelligence in Tax Administration by Artur Bogucki

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Data Biases in Geohazard AI: Investigating Landslide Class Distribution Effects on Active Learning and Self-Optimizing by Jing Miao, Zhihao Wang, Tianshu Ma, Zhichao Wang, Guoming Gao

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Equitable hospital length of stay prediction for patients with learning disabilities and multiple long-term conditions using machine learning by Emeka Abakasanga, Rania Kousovista, Georgina Cosma, Ashley Akbari, Francesco Zaccardi, Navjot Kaur, Navjot Kaur, Danielle Fitt, Gyuchan Thomas Jun, Reza Kiani, Satheesh Gangadharan

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Exploring the ethical landscape of AI in academic writing by Navneet Ateriya, Nagendra Singh Sonwani, Kishor Singh Thakur, Arvind Kumar, Satish Kumar Verma

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Metrics and Algorithms for Identifying and Mitigating Bias in AI Design: A Counterfactual Fairness Approach by Dongsoo Moon, Seongjin Ahn

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Attention-guided convolutional network for bias-mitigated and interpretable oral lesion classification by Adeetya Patel, Camille Besombes, Theerthika Dillibabu, Mridul Sharma, Faleh Tamimi, Maxime Ducret, Peter Chauvin, Sreenath Madathil

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Cultural Bias in Text-to-Image Models: A Systematic Review of Bias Identification, Evaluation, and Mitigation Strategies by Wala Elsharif, Mahmood Alzubaidi, Marco Agus

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Enhancing Fairness in Credit Assessment: Mitigation Strategies and Implementation by Melvin Kisten, Marshal Khosa

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Fairness in Federated Learning: Trends, Challenges, and Opportunities by Noorain Mukhtiar, Adnan Mahmood, Quan Z. Sheng

Subjects: “…bias mitigation strategies…”
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Achieving Equity via Transfer Learning With Fairness Optimization by Xiaoyang Wang, Chia-Hsuan Chang, Christopher C. Yang

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Healthcare inequities and healthcare providers: we are part of the problem by Crystal N. Campbell

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Ethical AI in medical text generation: balancing innovation with privacy in public health by Mingpei Liang

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Impact on bias mitigation algorithms to variations in inferred sensitive attribute uncertainty by Yanchen Wang, Lisa Singh

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A Comprehensive Approach to Bias Mitigation for Sentiment Analysis of Social Media Data by Jothi Prakash Venugopal, Arul Antran Vijay Subramanian, Gopikrishnan Sundaram, Marco Rivera, Patrick Wheeler

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A Bibliometric Analysis of Similarity Attraction Bias in Recruitment: Implications for Workplace Diversity and Inclusion by Andreea BUNICA

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Demographic bias mitigation at test-time using uncertainty estimation and human–machine partnership by Anoop Krishnan Upendran Nair, Ajita Rattani

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Adapting the National Financial Capability Test to Address Generational Differences in Cognitive Biases by Sergio Da Silva, Ana Paraboni, Raul Matsushita

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