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In the book, he confronted the scientific ideal of objectivity, arguing that personal experience, cultural tradition and prior understandings make unbiased interpretation of any perception of reality impossible.
Decide.com, a start-up that describes itself as "the next generation Consumer Reports," prides itself on using artificial intelligence and algorithms to make unbiased product recommendations to consumers without taking money from advertisers.
Observing that "those who are most likely to make unbiased cognitive assessments are the clinically depressed," he argues that the "emotional price to pay for cognitive rationality may be too high .In fact, the battle between rationalists and behaviouralists may be largely in the past.
His aim was to demonstrate that companies can make unbiased and systematic procurement decisions (Lombardi et al. 2014a).
In other words, entrepreneurs are neither maximizing their income, nor their utility because they cannot make unbiased income forecasts.
Our results demonstrate that ground-based landslide inventory data are required in order to correct for detection bias from aerial photos, develop reasonable estimates of landslide density across environmental gradients such as rainfall magnitude and topography, and make unbiased interpretations of relationships between forest management associations and landslide occurrence.
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Prof Michael Feindt, a former Cern scientist and now chief scientific officer at predictive applications company Blue Yonder, says machines can learn from past experience better than humans can and are very effective at making unbiased predictions.
Even when we are able to set our emotions aside and try to act rationally, we still have a pretty hard time making unbiased choices.
Becoming familiar with the most prominent modeling dimensions for SA systems is crucial for specifying relevant adaptation requirements; making unbiased and well-informed decisions about alternative architectures; and accurately evaluating the resulting system's quality attributes.
The creation of a model that makes unbiased predictions is achieved by the process of calibration, which involves the adjustment of key variables as necessary as to minimize bias.
The proposed framework would help policy and decision makers realize the significant influence of CA on the corrosion of reinforcing steel in concrete and life-cycle cost of a project, and ultimately assisting them in making unbiased decisions that have scientific underpinnings.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com