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the editor of the new england journal of medicine, dr. marcia angell, a physician and expert in health policy, voiced her concerns about the gap in the available data and the potential for bias in the evaluation process. the journal is committed to rigorous, transparent, and ethical publishing, and we will promote the highest standards for the quality and integrity of research published in our journal, she told us. 44 that said, we are acutely aware that there have been allegations of bias in recent amazon ai research, and we would like to underscore our commitment to rigorous reporting and evaluation of scientific research.
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while debates rage over the efficacy of ai in hiring processes, they should not be in a state of hyper-doubt. while ibms facial recognition system was shown to have a biased view of black faces in 2018, a study of gender biases in facial biometric systems found that a number of facial recognition systems were not affected by race. however, systems that were run under different lighting and pose conditions did not perform as well for black subjects and were more accurate with white subjects.
how can we explain such pervasive bias like a magnetic field that pulls iron filings into alignment, a powerful cultural belief is aligning multiple sources of scientific bias in the same direction. the belief is that progress in science means the continual production of positive findings. all involved benefit from positive results, and from the appearance of progress. scientists are rewarded both intellectually and professionally, science administrators are empowered and the public desire for a better world is answered. the lack of incentives to report negative results, replicate experiments or recognize inconsistencies, ambiguities and uncertainties is widely appreciated but the necessary cultural change is incredibly difficult to achieve.