Algorithms are designed to learn user preferences by observing user behaviour. This causes algorithms to fail to reflect user preferences when psychological biases affect user decision making. For algorithms to enhance social welfare, algorithm design ne
Human behaviourScience, technology and societyAlgorithms are designed to learn user preferences by observing user behaviour. This causes algorithms to fail to reflect user preferences when psychological biases affect user decision making. For algorithms to enhance social welfare, algorithm design needs to ...
Still, it could have introduced substantial bias in that human arguments might have been weaker than those of LLMs simply because opponents did not honestly believe in the standpoint they were advocating for. To address such concerns, we fit a version of our model that considers opponents’ ...
Confirmation bias is a type of cognitive bias in which workers attach importance to information that supports their hypotheses and beliefs. In crowdsourcing, workers’ personal beliefs and backgrounds have also been observed to influence the outcome of their judgments (Barbera et al. 2020; Coscia ...
However, while HR algorithms may remove human bias in decision making, we argue that those being evaluated may perceive the process as reductionistic, leading them to think that certain qualitative information or contextualization is not being taken into account. We argue that this can undermine ...
In the design phase of those benchmark datasets, the following eight directions must be carefully thought of: concept distribution, generalization, complexity, bias, ground truth conformity, ambiguity, causality, and domain transfer/extension. For the vast majority of those dimensions, there is either...
in regression methods with policy optimization in continuous action-spaces; in turn, the use of a regression-based critic allows for efficient use of data and avoids convergence problems that TD-based critics often exhibit. We establish the convergence of our algorithm and illustrate its application...
However, till today over most of the world, pathological analysis of tissue samples remained a time-consuming and subjective procedure, wherein the intensity of antibody staining is manually judged and thus scoring decision is directly influenced by visual bias. This instigated us to design a ...
3h). This re-analysis therefore demonstrates that our neural decoding method is sensitive to task-related goals, with replicable estimates of orientation anisotropies in accuracy and bias. Generative modelling of neural population responses Previous theoretical work provides two primary variations in ...
potential limitation, since it involves tractography itself and thus raises self-validation issues. This aspect should be considered in direct method comparisons as there may exist a possible bias toward algorithms that are similar to the algorithm used for phantom generation. This caveat, however, ...