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Addressing bias in artificial intelligence for public health surveillance

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References

2015Implicit Racial/Ethnic Bias Among Health Care Professionals and Its Influence on Health Care Outcomes: A Systematic Review2,174 cited
2020Closing the AI accountability gap1,445 cited
2019Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries762 cited
2020AI for social good: unlocking the opportunity for positive impact356 cited
2018Potential Biases in Big Data: Omitted Voices on Social Media329 cited
2021Five sources of bias in natural language processing298 cited
2020Social Biases in NLP Models as Barriers for Persons with Disabilities274 cited
2020Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview233 cited
2020Artificial Intelligence in mental health and the biases of language based models163 cited
2022Mitigating the impact of biased artificial intelligence in emergency decision-making82 cited
2019Extracting Resource Needs and Availabilities From Microblogs for Aiding Post-Disaster Relief Operations79 cited
2016Propagation of Information About Preexposure Prophylaxis (PrEP) for HIV Prevention Through Twitter58 cited

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2024The bias algorithm: how AI in healthcare exacerbates ethnic and racial disparities – a scoping review41 cited
2025Biases in AI: acknowledging and addressing the inevitable ethical issues

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36 cited

2025The ethics of data mining in healthcare: challenges, frameworks, and future directions32 cited

2025Advancing health equity and the role of digital health technologies: a scoping review19 cited

2025Biases in Artificial Intelligence Application in Pain Medicine19 cited