So how can we mitigate bias in machine learning?
In this way, you will both help to mitigate bias in hiring and be more likely to hire someone who will be successful in the role.
There is certainly not one comprehensive strategy to mitigate bias in empirical data but the present study suggests that researchers can at least actively address it.
Kapor Capital, in partnership with Google for Entrepreneurs and Village Capital, hosted a pitch competition earlier today in Oakland, California, for startups that are working on revamping the old-school human resources industry and on technology to mitigate bias in the hiring process.
Outcome assessors were not blinded to group assignment; they followed a detailed protocol document for all outcomes assessment designed to mitigate bias in outcomes assessment.
Additional approaches for mitigating biases in molecular data sets include increasing taxon sampling and better modeling of nucleotide evolution.
Therefore, to the extent that sleep-like synchronized activity is common throughout the various cortical fields [29], these findings demonstrate that functional normalization may, to the first approximation, mitigate biases inherent in the classical ΔF/FRLI normalization.
These include expanding diversity of the candidate pool, proactive outreach to diverse talent, mitigating bias in search processes, and developing/sustaining mentoring relationships.
With its global audience in mind, Adobe has prioritized mitigating bias in its recruitment practices, building a pipeline that includes women and underrepresented groups, achieving global pay parity, ensuring that it supports diverse supplier and other partner organizations, and investing in making its products more inclusive and accessible.
Analysis was restricted to the 1.3 million individuals in the UPDB who have at least 12 of their 14 immediate ancestors in order to mitigate biases that may be incurred from including people who have few relationships represented.
