Critical Algorithmic Literacy for LLM-assisted Decision-making

In today's information landscape, algorithm-driven technologies mediate nearly all aspects of information and communication, profoundly shaping our decisions and societal participation.This paper explores a rapidly evolving example of algorithmic influence: the role of LLMs in human decision-making.As LLMs become increasingly central to these processes, their influence extends beyond simple assistance, potentially transforming how individuals evaluate options and act on recommendations.We examine this through the lens of critical algorithmic literacy, which encompasses the ability to interpret and critically assess algorithmic systems that influence access to information and decision-making.Based on a scoping review of 45 papers, we highlight the need for autonomy-supportive LLM-assisted decision-making approaches that empower learners to critically engage with the entire process and confidently take control of their choices as transformative agents.