AIMC Topic: Bias

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Bias in adjudication: Investigating the impact of artificial intelligence, media, financial and legal institutions in pursuit of social justice.

PloS one Jan 3, 2025
The latest global progress report highlights numerous challenges in achieving justice goals, with bias in artificial intelligence (AI) emerging as a significant yet underexplored issue. This paper investigates the role of AI in addressing bias within...
Sustainable Development Social Justice Bias Humans Artificial Intelligence
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Whither bias goes, I will go: An integrative, systematic review of algorithmic bias mitigation.

The Journal of applied psychology Dec 30, 2024
Machine learning (ML) models are increasingly used for personnel assessment and selection (e.g., resume screeners, automatically scored interviews). However, concerns have been raised throughout society that ML assessments may be biased and perpetuat...
Bias Humans Personnel Selection Machine Learning Algorithms
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Attention-guided convolutional network for bias-mitigated and interpretable oral lesion classification.

Scientific reports Dec 30, 2024
Accurate diagnosis of oral lesions, early indicators of oral cancer, is a complex clinical challenge. Recent advances in deep learning have demonstrated potential in supporting clinical decisions. This paper introduces a deep learning model for class...
Humans Image Processing, Computer-Assisted Neural Networks, Computer Bias Deep Learning Mouth Neoplasms
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Ascertaining provider-level implicit bias in electronic health records with rules-based natural language processing: A pilot study in the case of prostate cancer.

PloS one Dec 30, 2024
PURPOSE: Implicit, unconscious biases in medicine are personal attitudes about race, ethnicity, gender, and other characteristics that may lead to discriminatory patterns of care. However, there is no consensus on whether implicit bias represents a t...
Prostatic Neoplasms Natural Language Processing Bias Aged Male Middle Aged Pilot Projects Health Personnel Humans Electronic Health Records
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Bias in machine learning applications to address non-communicable diseases at a population-level: a scoping review.

BMC public health Dec 28, 2024
BACKGROUND: Machine learning (ML) is increasingly used in population and public health to support epidemiological studies, surveillance, and evaluation. Our objective was to conduct a scoping review to identify studies that use ML in population healt...
Bias Noncommunicable Diseases Population Health Machine Learning Algorithms Humans
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Embedded Ethics in Practice: A Toolbox for Integrating the Analysis of Ethical and Social Issues into Healthcare AI Research.

Science and engineering ethics Dec 24, 2024
Integrating artificial intelligence (AI) into critical domains such as healthcare holds immense promise. Nevertheless, significant challenges must be addressed to avoid harm, promote the well-being of individuals and societies, and ensure ethically s...
Stakeholder Participation Anthropology, Cultural Social Sciences Focus Groups Bias Humans Artificial Intelligence Delivery of Health Care Ethics, Research
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Enhancing consistency and mitigating bias: A data replay approach for incremental learning.

Neural networks : the official journal of the International Neural Network Society Dec 20, 2024
Deep learning systems are prone to catastrophic forgetting when learning from a sequence of tasks, as old data from previous tasks is unavailable when learning a new task. To address this, some methods propose replaying data from previous tasks durin...
Humans Deep Learning Neural Networks, Computer Bias Learning
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Immune-based Machine learning Prediction of Diagnosis and Illness State in schizophrenia and bipolar Disorder: How data bias and overfitting were avoided.

Brain, behavior, and immunity Dec 17, 2024
In a letter critiquing our manuscript, Takefuji highlights general pitfalls in machine learning, without directly engaging with our study. The comments provide generic advice rather than a specific critique of our methods or findings. Despite raising...
Schizophrenia Bipolar Disorder Bias Humans Machine Learning
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A Bias Network Approach (BNA) to Encourage Ethical Reflection Among AI Developers.

Science and engineering ethics Dec 17, 2024
We introduce the Bias Network Approach (BNA) as a sociotechnical method for AI developers to identify, map, and relate biases across the AI development process. This approach addresses the limitations of what we call the "isolationist approach to AI ...
Bias Chile Pilot Projects Decision Making Humans Artificial Intelligence
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Ethical and Bias Considerations in Artificial Intelligence/Machine Learning.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Dec 16, 2024
As artificial intelligence (AI) gains prominence in pathology and medicine, the ethical implications and potential biases within such integrated AI models will require careful scrutiny. Ethics and bias are important considerations in our practice set...
Humans Bias Pathology Artificial Intelligence Machine Learning
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