AI Literacy
AI tools have exploded since 2022, rapidly changing how we interact with the internet–and how we do research. Researchers reliance on AI for exploratory search, concept mapping, outlining, and drafting is growing. Challenges like hallucinated citations are becoming common in the classroom and academic papers.
However, despite all the change, the fundamental skills of the research process remain the same, rooted in information literacy. AI tools are supports, rather than replacements for human reasoning, that require critical understanding to use effectively.
Critical thinking in AI literacy goes beyond merely questioning the outputs of AI systems. It involves leveraging skills like information literacy to critically assess the sources, data, and underlying assumptions that shape these models.
In this workshop we are going to review some categories of traditional and AI research tools, considering their scopes and strengths, and get hands on to compare the results.