WHEN ELIMINATING BIAS ISN’T FAIR: ALGORITHMS, QUANTIFICATION, AND PROCEDURAL JUSTICE
The perceived fairness of decision-making procedures is a key concern for organizations, particularly when evaluating employees and determining personnel outcomes. Algorithms have created opportunities for increasing fairness and impartiality by overcoming biases commonly displayed by human decision makers.
N & B Seminar: Nelly Traitcheva, Laboratory Safety Specialist
Safety Culture in the Lab: Burden or Personal Perception
In this presentation an EH&S representative will talk about the change of the safety culture in research laboratories throughout the years and the UC-wide measures which are taken today in order to improve it.