“ In short , if a task requires data to be processed , a software robot can likely help ”
GAVIN MEE MANAGING DIRECTOR NORTHERN EUROPE , UIPATH
with the AI system itself , but with the data that enabled the model to learn human stereotyping behaviour .”
Bias against job applicants and employees based on gender and ethnicity , introduced by historical data , can in turn be learned by machine learning models . This can lead to bias becoming systemic because of an AI model ’ s partial or full dependence on the machine to make decisions .
Can recruiting algorithms ever be free of bias and discrimination ? Yes they can , according to Mishra , who said that “ freedom from bias and discrimination is not a standing goal post , but an evermoving target , as our own awareness of existing biases and discrimination grows . The evolution of recruiting algorithms needs to match pace with the evolution of our own awareness . It also needs to bring in local flavour to address high priority issues that may have more significance than elsewhere , within a local context .”
There has also been an increase in people writing CVs specifically for AI , something that should be discouraged , according to
48 February 2022