Sentence examples for biased decision-making from inspiring English sources

This could potentially prevent unnecessary deaths by reducing biased decision-making in the heat of the chase.

In trying to rid the system of human bias, these tools trade the potentially biased decision-making of one individual (the judge) for that of another (the police), now filtered through an automated process that gives the risk score prediction a veneer of objectivity and, ostensibly, the backing of science.

"As with any transformative technology, artificial intelligence may raise new ethical and legal questions, related to liability or potentially biased decision-making.

Lawmakers in Texas—one of a number of states that lost a competition to host NBAF accused DHS of biased decision-making.

As a result, this use of neural motor activations realizes perception-action integration by way of probabilistically biased decision-making.

Furthermore, our proposed synthesis better furthers the classical systematic review's aim of enabling maximally informed, minimally biased decision-making than a systematic review of conclusions.

The repetition of this supranormal activation with repeated cocaine use would further increase the value of cocaine above that of other rewards, regardless of their initial value, thereby biasing decision-making towards excessive cocaine choice.

Under the fixed offset hypothesis, <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0016749.e177.PNG" class= inline-graphic"/>, reward information biases decision-making independently of the processes that affect the accumulation of stimulus information.

Still others have claimed that the VMPFC biases decision making by facilitating the emotional experience of regret [ 5, 6].

But museums should come with labels too, given that their collections, which are often treated as objective and universally approved, are the results of highly biased decision making.

Research suggests that stressors, such as poverty, impair cognition and bias decision-making.