Before Experimentation with Generative AI Tools

• Familiarize yourself with Lamar University's preliminary guidelines for utilizing Generative AI tools. Ensure compliance with regulations regarding using confidential data with publicly accessible tools. Verify and authenticate any AI-generated content before dissemination.
• Explore available tools at Lamar University, examining their approved data handling levels. Continuous updates may introduce new options for experimentation. Certain Colleges may provide additional tools for eligible users.
• Acknowledge the limitations of AI. Approach critically, acknowledging potential inaccuracies, misleading information, or entirely fabricated content. Maintain skepticism and verify the validity of AI-generated output.
• Respect copyright regulations. Ensure that AI-generated content does not infringe upon the intellectual property or legal rights of third parties. Avoid requesting AI to replicate copyrighted material.

Ideas for Experimentation with Generative AI

• Content Creation: Generate diverse content forms like stories, music, images, recipes, and more through natural language prompts, fostering creativity and idea generation. Emphasize learning to refine and optimize prompts for effective outcomes.
• Code Generation and Debugging: Utilize Generative AI to create, debug, and enhance computer code, catering to both experts and non-programmers. Review code for security vulnerabilities and accuracy before publication.
• Formula Creation for Spreadsheets: Simplify formula creation for spreadsheet applications using natural language prompts, enhancing accessibility for non-experts. Verify generated formulas for accuracy before integration.
• Advanced Search: Leverage Generative AI's ability to swiftly navigate vast datasets for advanced search purposes. Exercise caution regarding the accuracy of outputs, considering potential biases and outdated information.
• Document Summarization: Employ Generative AI for concise document summarization, facilitating tasks such as research insights extraction and report condensation. Verify summaries for contextual accuracy.
• Information Synthesis and Translation: Utilize AI to synthesize complex datasets and translate text passages efficiently. Exercise caution with translations, ensuring accuracy particularly when translating into languages other than English.
• Content Review and Enhancement: Utilize AI for editing and improving written content, offering suggestions for enhancements, error detection, and readability assessment.
• Productivity Enhancement: Harness AI's capabilities to summarize meeting notes, identify key points, and generate action items, enhancing productivity in various tasks.
• Accessibility Improvement: Employ AI tools to enhance accessibility by identifying document issues and suggesting improvements such as alt-text and audio descriptions. Manually test content for accessibility to ensure effectiveness.

Lamar University remains committed to supporting responsible exploration and innovation with Generative AI tools, fostering a culture of ethical and informed experimentation within its academic community.