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BIOL:4898 Communicating Research; BIOL:1808 Ways of Knowing Science: AI Literacy

Generative AI

When generating writing, AI chatbots use mathematical probabilities to generate the next likely word in a string of text based on its training data and how it is prompted. Generative AI tools also can be used to find scholarly sources on the open web, to summarize articles, to create outlines, to brainstorm keywords, to suggest topic ideas, and more. Artificial intelligence can accelerate and transform education, scientific research, and medical discoveries and remove barriers to information access. However, like any powerful tool, using artificial intelligence requires responsible and ethical use in addition to understanding and following the policies of your course instructors.

A few articles showing how artificial intelligence is being used in scientific research:

Ethics and Considerations for AI Tools

1. Always check the policies for generative AI use in the course syllabus or ask your instructor.

2. If you have permission to use generative AI chatbots and tools, cite that you used them in academic papers and projects.

3. Never give sensitive, confidential, private, or personal information to an AI chatbot or tool.

4. The policies, laws, and regulations around copyright and and intellectual property regarding artificial intelligence are still developing and experts may disagree on what constitutes fair use. The use of creative and written works without consent for generative AI training and production has caused concern and resulted in some litigation in these areas.

5. Consider the environmental aspects of AI.

Creating Prompts for AI Chatbots and Tools

1. Consider the goal of your prompt. Are you using the AI tool for brainstorming, to create an outline, or something else?

2. Be specific about what kind of output you would like, whether it is an outline, paragraph, table, type of file, a certain writing style or tone, or for a particular grade level or audience. If needed, provide an example of desired output in the prompt.

3. Give additional commands or ask follow-up questions if needed to refine your prompt and improve it.

4. Create a template for a prompt if you plan to use it often. Save useful prompts to create your own prompt library.

5. Try these strategies to minimize the risk that an AI chatbot will provide information that is misleading or inaccurate.

  • Ask direct questions that do not imply a particular viewpoint or answer.
  • Use a sequence of simple clear and precise prompts rather than a complex prompt. Break a complicated prompt down into logical discrete steps or multiple prompts.
  • Provide context and background information in the prompt, or direct the chatbot to use only the source that you provide to it.
  • If available, change the "temperature" or mode settings in favor of more straightforward and factual information.

Checklist for Evaluating AI-Generated Content

1. Accuracy of Information:

  • Are the facts presented correct and verifiable?
  • Does the summary accurately reflect current scientific understanding?
  • What is your expertise on the topic to assess the accuracy of the AI output, or, would it be wiser to use trusted authoritative sources?

2. Presence of Citations:

  • Are sources cited appropriately?
  • Are the references relevant and credible?
  • Are the citations legitimate? (Sometimes generative AI chatbots will hallucinate, or in other words, create fictional citations that look real, even using a real journal title, but the article does not actually exist.)

3. Logical Flow:

  • Does the summary have a clear and logical structure?
  • Are the ideas and arguments presented in a coherent manner?
  • Have parts of the text been repeated unnecessarily?

4. Depth of Analysis:

  • Does the summary provide in-depth analysis or just surface-level information?
  • Are key concepts and mechanisms explained thoroughly?
  • Are any aspects or considerations missing from the analysis? 

5. Completeness:

  • Does the summary cover all relevant aspects of the topic?
  • Are there any important details or concepts missing?
  • Did the AI model train on data that lacks up-to-date information or have other limitations?

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Examples of AI Chatbots and Tools