You may already know that knowledge is not impartial. Our values and assumptions are influenced by the information surrounding us – the information we create, the information we accumulate, and the information we share with one another. Financial wants, social buildings, or algorithmic biases can have profound penalties for the way in which we accumulate and use knowledge. Most frequently, the consequence is a rise of inequity on the earth. Data additionally adjustments the way in which we work together. It shapes our ideas, our emotions, our preferences and actions. It determines what we’ve got entry to, and what not. It allows international dissemination of finest practices and life bettering applied sciences, in addition to the unfold of distrust and radicalization. This is why knowledge literacy issues.

A key precept of knowledge literacy is to have a heightened consciousness of the dangers and alternatives of data-driven applied sciences and to remain up-to-date with their penalties. On this course, we view knowledge literacy from three views: Data in private life, knowledge in society, and knowledge in information manufacturing. The intention is threefold: 1. To increase your expertise and talents to determine, perceive, and interpret the numerous roles of digital applied sciences in each day life. 2. To allow you to discern when data-driven applied sciences add worth to individuals’s lives, and once they exploit human vulnerabilities or deplete the commons. 3. To domesticate a deeper understanding of how data-driven applied sciences are shaping information manufacturing and how they could be realigned with actual human wants and values.

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