AIMC Topic: Bias
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Can Machine Learning Be Better than Biased Readers?
Tomography (Ann Arbor, Mich.)
Apr 28, 2023
Training machine learning (ML) models in medical imaging requires large amounts of labeled data. To minimize labeling workload, it is common to divide training data among multiple readers for separate annotation without consensus and then combine th...
How cultural framing can bias our beliefs about robots and artificial intelligence.
The Behavioral and brain sciences
Apr 5, 2023
Clark and Fischer argue that humans treat social artifacts as depictions. In contrast, theories of distributed cognition suggest that there is no clear line separating artifacts from agents, and artifacts can possess agency. The difference is likely ...
Human-Centered Design to Address Biases in Artificial Intelligence.
Journal of medical Internet research
Mar 24, 2023
The potential of artificial intelligence (AI) to reduce health care disparities and inequities is recognized, but it can also exacerbate these issues if not implemented in an equitable manner. This perspective identifies potential biases in each stag...
Automating Quality Assessment of Medical Evidence in Systematic Reviews: Model Development and Validation Study.
Journal of medical Internet research
Mar 13, 2023
BACKGROUND: Assessment of the quality of medical evidence available on the web is a critical step in the preparation of systematic reviews. Existing tools that automate parts of this task validate the quality of individual studies but not of entire b...
Evaluation of Risk of Bias in Neuroimaging-Based Artificial Intelligence Models for Psychiatric Diagnosis: A Systematic Review.
JAMA network open
Mar 1, 2023
IMPORTANCE: Neuroimaging-based artificial intelligence (AI) diagnostic models have proliferated in psychiatry. However, their clinical applicability and reporting quality (ie, feasibility) for clinical practice have not been systematically evaluated.
Biases associated with database structure for COVID-19 detection in X-ray images.
Scientific reports
Mar 1, 2023
Several artificial intelligence algorithms have been developed for COVID-19-related topics. One that has been common is the COVID-19 diagnosis using chest X-rays, where the eagerness to obtain early results has triggered the construction of a series ...
Expression unleashed in artificial intelligence.
The Behavioral and brain sciences
Feb 17, 2023
The problem of generating generally capable agents is an important frontier in artificial intelligence (AI) research. Such agents may demonstrate open-ended, versatile, and diverse modes of expression, similar to humans. We interpret the work of Hein...
Bias in Artificial Intelligence: Basic Primer.
Clinical journal of the American Society of Nephrology : CJASN
Feb 1, 2023
Biases in human perception of facial age are present and more exaggerated in current AI technology.
Scientific reports
Dec 29, 2022
Our estimates of a person's age from their facial appearance suffer from several well-known biases and inaccuracies. Typically, for example, we tend to overestimate the age of smiling faces compared to those with a neutral expression, and the accurac...
The uncovered biases and errors in clinical determination of bone age by using deep learning models.
European radiology
Dec 20, 2022
OBJECTIVES: To evaluate AI biases and errors in estimating bone age (BA) by comparing AI and radiologists' clinical determinations of BA.
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