Watch as applied linguist and Moxie co-founder Kimberly Becker demonstrates how to transform biased AI prompts into objective research questions. This hands-on tutorial compares responses from Claude, Gemini, and Moxie to show you exactly how to:

• Identify and eliminate hidden bias in your AI prompts
• Write better research questions for academic work
• Get more reliable and balanced AI responses
• Avoid common pitfalls like directional language and assumed causation

Perfect for students, researchers, and educators who want to move beyond basic AI interactions and get more accurate, research-focused results. This practical guide builds on our previous videos about question framing and bias mitigation in AI research.

📚 Content Discussed in this Video:
00:00:00 Comparing AI Models: Claude, Gemini, and Moxie
00:01:47 Overcoming Bias in AI-generated Responses
00:03:33 The Risks of AI Hallucination in Academic Research
00:05:07 Understanding AI Responses and Prompts
00:06:45 How Moxie Enhances AI Literacy
00:08:26 Leveraging AI for Enhanced Learning Strategies
00:10:08 Understanding Correlation vs. Causation in Data Analysis
00:13:26 Improving AI Prompting Techniques

Related videos:
Part 1: Question Framing in AI: A Linguist Guide to Better Research Writing in AI :
[ Ссылка ]
Part 2: How to Mitigate the Problem of Generative AI:
[ Ссылка ]

#academicwriting #aieducation ##generativeai #academicresearch #promptengineering #aitutorial #academictips #highereducation #aiwriting
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