Dear Students,
We are excited that you are participating in the Seminole County Regional Science, Math, and Engineering Fair 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 Artificial Intelligence and Natural Language Processing Tools (AI / NLP tools). While we do not expect the incorporation of these tools, here are some guidelines for the responsible use of AI/NLP 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/NLP. LLMs 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 the 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/NLP 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/NLP 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 any other reference. Be sure to download the transcripts of your interactions with your AI bot of choice and include them in your research notebook/other paperwork for transparency.
Ethical Considerations: Think about the ethical implications of using AI in your research. Uphold ethical principles in your work and discussions involving AI/NLP. 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.
Bias Awareness: Be aware that AI/NLP 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/NLP for preferential biases. Address any biases you identify in your project and work to mitigate this wherever possible.
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. Again, download a copy of your transcripts when interacting with LLMs that include both your prompts and the responses given.
Balance and Independence: Remember that AI/NLP 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/NLP as your own.
Experimentation and Documentation: Document your interactions with AI/NLP including the questions you ask and the responses you receive. This documentation will help ensure transparency in your research process. You can download these transcripts and they 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/NLP use. If you have doubts or concerns about using AI/NLP in your project, consult with your teachers, mentors, or parents/guardians. They can provide guidance and help you navigate any challenges you encounter.
In conclusion, AI/NLP 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 the standards of ethics and scientific integrity. We wish you success in your scientific endeavors and look forward to seeing your innovative projects at the Seminole County Regional Science, Math, and Engineering Fair in February!
Additional Resources:
Video: How Large Language Models Work
Harvard Business School: Student Use Cases for AI
Statement from the International Baccalaureate about Artificial Intelligence in Education
HOW CAN AI/NLP HELP WITH YOUR SCIENCE FAIR PROJECT?
Students can use AI/NLP to quickly gather background information on their chosen topic, helping them build a solid foundation for their projects.
AI/NLP can help brainstorm project ideas by suggesting research questions, hypotheses, or experiment designs based on the student’s area of interest.
Students can seek guidance on data analysis techniques, statistical tests, or software tools for processing and interpreting their experiment results.
AI/NLP can assist in refining experimental procedures, offering suggestions to improve accuracy, control variables, and ensure safety.
Students can ask AI/NLP to explain complex scientific concepts, theories, or equations related to their projects, aiding their understanding and communication of the topic.
AI/NLP can provide suggestions for credible sources, articles, books, or research papers that students can use to support their project’s findings and arguments.
Students can ask for guidance on creating effective visual representations of their data such as graphs, charts, or diagrams, to enhance the presentation of their results.
AI/NLP can help students think through the ethical aspects of their projects, including considerations of human or animal subjects, environmental impact, and data privacy.
Students can seek tips on creating engaging project presentations, posters, or oral explanations for the science fair judges and attendees.
All AI/NLP use must be properly cited and documentation of input and output must be available.