Coursework/paper: Library and Information Literacy (GCC 121) — ethical evaluation and citation of generative AI outputs
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Text GenerationAuthored an academic paper examining how information literacy should be expanded to address generative AI use in research, emphasizing ethical handling of AI-produced content. The work addresses verifying AI outputs (e.g., bias and hallucination) and maintaining academic integrity through proper citation of AI-generated material. It also discusses critical evaluation techniques such as lateral reading to cross-check claims against authoritative sources. • Covered limitations of generative AI including algorithmic bias and hallucination risks. • Addressed how to evaluate AI-generated summaries for accuracy, depth, and confidence. • Included guidance on proper citation and transparency when using AI tools (e.g., citing the model/algorithm version). • Proposed using lateral reading to verify AI claims via external authoritative sources.