Results 11 to 20 of about 679,735 (317)
Biases in Artificial Intelligence Application in Pain Medicine
Oranicha Jumreornvong,1 Aliza M Perez,1 Brian Malave,1 Fatimah Mozawalla,1 Arash Kia,2 Chinwe A Nwaneshiudu2,3 1Department of Human Performance and Rehabilitation, Icahn School of Medicine at Mount Sinai, New York, NY, USA; 2Department of Anesthesiology,
Jumreornvong O +5 more
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Biased Humans, (Un)Biased Algorithms? [PDF]
AbstractPrevious research has shown that algorithmic decisions can reflect gender bias. The increasingly widespread utilization of algorithms in critical decision-making domains (e.g., healthcare or hiring) can thus lead to broad and structural disadvantages for women.
Florian Pethig, Julia Kroenung
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Prevailing social, economic and political ideas and paradigms constitute the lens through which scientists observe, assess, and understand the world. This affects how we interpret and understand the mechanisms governing the interaction between organisms
Claudia Piccini +11 more
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Whither Now, Opinion Modelers?
The article describes the current status and potential directions of development of agent-based models of social opinion dynamics. Despite extensive effort, the models achieve, at best, only qualitative agreement with social observations.
Pawel Sobkowicz
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Citizen science, whereby ordinary citizens participate in scientific endeavors, is widely used for biodiversity monitoring, most commonly by relying on unstructured monitoring approaches.
Ofer Arazy, Dan Malkinson
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The self-leadership construct has received great attention from scholars over the last 40 years due to its capacity to influence personal effectiveness. However, despite strongly influencing individuals’ self-efficacy, performed studies did not determine
Matteo Cristofaro, Pier Luigi Giardino
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Biases in the Decision-Making Process and Possibilities of Overcoming Them [PDF]
Starting from the normative approach, a decision as the outcome of the decision-making process should represent a rational choice made by a completely informed decision-maker.
Jelena Nikolic
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Self-Serving Biases in Bargaining [PDF]
There is strong evidence that in bargaining situations with asymmetric outside options people exhibit self-serving biases concerning their fairness judgements.
Kohnz, Simone
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Biased Models Have Biased Explanations
We study fairness in Machine Learning (FairML) through the lens of attribute-based explanations generated for machine learning models. Our hypothesis is: Biased Models have Biased Explanations. To establish that, we first translate existing statistical notions of group fairness and define these notions in terms of explanations given by the model. Then,
Aditya Jain +2 more
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Ortho-Heterodox Biases and the Economist Algorithms of ChatGPT
Recommendations for economic policies can be based on different theoretical perspectives and may present hidden biases. Identifying these biases is challenging when they are embedded in recommendations from sources with high technological and social ...
Oz Iazdi
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