Words are very powerful, and clear, unambiguous, and accurate wording of taxonomy terms needs to incorporate much more than can be derived from an automated analysis of content. Over the past 2 years, we have seen the need for reliable and precise tagging of COVID-19 related research, as well as the need to incorporate diversity, equity, and inclusion (DEI) and avoid bias in the choice of terms. This session examines the role of DEI and inclusive language guidelines in taxonomy development and maintenance with evolving research, as well as the implications for accurate tagging and information retrieval.
Learning Objectives:
Upon completion, participant will be able to understand the impact of bias and wording based on diversity, equity, and inclusion (DEI) on taxonomy development and maintenance.
Upon completion, participant will be able to describe general principles for reducing bias in language and how to best incorporate inclusive language guidelines.
Upon completion, participant will be able to understand the effects of inclusive language on information retrieval and discovery.
