Dear Students,
We are excited that you are participating in the DMRSEF and understand that you may be curious about embracing the power of technology to enhance your project. We want to provide you with guidelines on how to responsibly engage with Large Language Models (LLMs), or AI, like Chat GPT. While we do not expect the incorporation of these tools, here are some guidelines for the responsible use of AI that will ensure the integrity of your project and uphold ethical standards in the field of science.
Understanding the Basics: Before diving into the guidelines, let's establish a fundamental understanding of AI. LLMs like Chat GPT are artificial intelligence models designed to generate human-like text based on the input they receive. It is essential to know that LLMs operate on a knowledge cutoff, meaning they may not have information or updates beyond a certain date. Additionally, they can provide general information but might not always be accurate or context-aware.
Privacy and Safety: Your safety and privacy are of utmost importance. When using AI, avoid sharing personal information such as your real name, address, or contact details. It's best to use pseudonyms or remain anonymous in your interactions. Always remember that your AI bot of choice is a machine learning model; it lacks emotions, intentions, or personal connections, so treat it as a tool, not a friend or confidant.
Citation and Verification: While AI can be a valuable resource, it's crucial to verify the information it provides. Use it as a starting point for your research, but always cross-check facts and details from reliable sources. If you incorporate information from a LLM into your project, remember to cite it properly as a source, just as you would with any other reference.
Bias Awareness: Be aware that AI models can carry biases present in the data they were trained on. As responsible scientists, it is essential to critically assess the information you receive from an AI for potential biases. Address any biases you identify in your project and work to mitigate this wherever possible.
Ethical Considerations: Think about the ethical implications of using AI in your research. Uphold ethical principles in your work and discussions involving AI. The power of AI comes with responsibilities. Use it only for legitimate and ethical purposes. Avoid using it to generate false information, deceive, or harm others.
AI Limitations: Keep in mind that even LLMs may not always understand complex or context-specific questions. Start with specific, clear questions to receive accurate responses. Be patient and persistent in refining your queries to obtain the information you need.
Balance and Independence: Remember that AI is a tool to enhance your research, not a replacement for your own critical thinking and creativity. You can use it as a supplement to your work, but not as a replacement for your own independent research and analysis of your projects. You should not consider work produced by AI as your own.
Experimentation and Documentation: Document your interactions with AI including the questions you ask and the responses you receive. This documentation will help ensure transparency in your research process and should be included in your research notebook.
Seek Adult Guidance: Check with your guardians and any adults involved in your research project before engaging in AI use. If you have doubts or concerns about using AI in your project, consult with your teachers, mentors, or parents. They can provide guidance and help you navigate any challenges you encounter. If you are unsure about implementing information generated by AI into your research, reach out to the DMRSEF Team at denversciencefair@ucdenver.edu.
In conclusion, AI and LLMs have the power to enhance your science fair project but must be used responsibly. By following these guidelines, you'll harness the full potential of this technology while maintaining standards of ethics and scientific integrity. We wish you success in your scientific endeavors and look forward to seeing your innovative projects at the science fair.
Best,
DMRSEF Team
Additional Resources:
AI vs. Machine Learning vs. Deep Learning vs. Neural Networks: What’s the difference?
Video: How Large Language Models Work
Harvard Business School: Student Use Cases for AI
ChatGPT: An Introduction for Educators
Statement from the International Baccalaureate about Artificial Intelligence in Education
Ethical AI for Teaching and Learning
Shedding light on AI Bias with Real World Examples
How to Cite AI Use
AI Tools:
ChatGPT Khanmigo Bard Bing Chat Claude
