A recent paper on algorithm development provided some guidance for how to reduce the bias inherent in AI algorithms as well as the harm those biases can have on underprivileged groups. "A ...
Bias in algorithms have always been a key issue in the growing field of artificial intelligence. For instance, researchers found in an experiment that flawed AI in robots has the tendency to make ...
Bias in AI is pervasive. From dermatological models that discriminate against patients with darker skin to exam-scoring algorithms that disadvantage public school students, you don’t need to look far ...
Cropped shot of a doctor using a digital tablet in a hospital Biased algorithms in health care can lead to inaccurate diagnoses. Clinicians should decide which variables to include to achieve fair ...
Many physicians are now using algorithms that consider a patient's sex, like heart disease risk assessment tools, to help with clinical decision-making. Reliance on these algorithms may result in men ...
A new research paper from Georgia Tech takes a surprising position on algorithmic bias in hiring. Their view: we can reduce screening bias if algorithms take the impacted demographic groups into ...
SANTA CLARA, Calif. — Looking to reduce the soaring costs of IC test, Intel Corp. hopes to leverage its “causal learning algorithm” technology for wafer sorting applications in the fab. Intel is ...
The Pediatric Emergency Medicine and Pediatric Hematology/Oncology divisions at MUSC have joined forces to create and test an algorithm for treating children with sickle cell disease who present to ...
Researchers trying to improve health care with artificial intelligence usually subject their algorithms to a form of machine med school. Software learns from doctors by digesting thousands or millions ...
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