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  1.  18
    Complexity of a Problem of Energy Efficient Real-Time Task Scheduling on a Multicore Processor.Abhishek Mishra & Anil Kumar Tripathi - 2016 - Complexity 21 (1):259-267.
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  2.  15
    Governing AI-Driven Health Research: Are IRBs Up to the Task?Phoebe Friesen, Rachel Douglas-Jones, Mason Marks, Robin Pierce, Katherine Fletcher, Abhishek Mishra, Jessica Lorimer, Carissa Véliz, Nina Hallowell, Mackenzie Graham, Mei Sum Chan, Huw Davies & Taj Sallamuddin - 2021 - Ethics and Human Research 2 (43):35-42.
    Many are calling for concrete mechanisms of oversight for health research involving artificial intelligence (AI). In response, institutional review boards (IRBs) are being turned to as a familiar model of governance. Here, we examine the IRB model as a form of ethics oversight for health research that uses AI. We consider the model's origins, analyze the challenges IRBs are facing in the contexts of both industry and academia, and offer concrete recommendations for how these committees might be adapted in order (...)
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    Transparent AI: Reliabilist and Proud.Abhishek Mishra - 2021 - Journal of Medical Ethics 47 (5):341-342.
    Durán et al argue in ‘Who is afraid of black box algorithms? On the epistemological and ethical basis of trust in medical AI’1 that traditionally proposed solutions to make black box machine learning models in medicine less opaque and more transparent are, though necessary, ultimately not sufficient to establish their overall trustworthiness. This is because transparency procedures currently employed, such as the use of an interpretable predictor,2 cannot fully overcome the opacity of such models. Computational reliabilism, an alternate approach to (...)
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