Rhetorical AI Literacy : Human vs AI Generated Content
This is the part 3 of a 3-part webinar series, "Understanding AI Detection: From LLM Basics to Advanced Techniques." In this webinar, Dr. Kimberly Becker, Co-Founder and COO of Moxie, demystified the mechanisms of large language models (LLMs), explored the ethical and transparency issues surrounding AI detection in academic settings, and critically analyzed the effectiveness of AI detection tools.
(1) Characteristics of AI Writing: Identify key traits of AI-generated texts.
(2) Comparison with Human Writing: Explore what makes human writing distinct from AI-generated text.
(3) Limitations of AI Detectors: Discuss why AI detectors often fail and the risks of relying on them.
(4) Interactive Q&A: Address common misconceptions and queries about distinguishing human-generated from AI-generated text.
This mini-webinar is designed for graduate students, postdocs, faculty, and researchers who want to learn how to analyze AI’s capabilities and limitations in replicating human writing styles – highlighting the challenges and unreliability of AI detectors in distinguishing between human and AI-generated content.
Here's the PDF file of what we cover:
https://drive.google.com/file/d/1iB7c...
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