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University of Florida

Herbert Wertheim College of Engineering

ESSIE/Department of Civil and Coastal Engineering

Strategies for Effective and Ethical Use of AI in Research

Dr. Elizabeth Volpe

APR, 15

2025

Presented to:

Simmons Research Lab as a part of the Professional Development Series

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Prior Research and Training

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Responsible Research & Cyber Security

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Data Privacy and Security

Before using any service or software to conduct business for UF, the risks must be assessed by UFIT Integrated Risk Management (IRM) in accordance with UF’s Risk Management Policy and the IT Rationalization Policy. Some popular services, like Microsoft Copilot, have already been assessed and approved for certain types of data. IRM’s Fast Path entry for Microsoft Copilot directs that no sensitive or restricted information is to be used with the service, including but not limited to education records, unpublished research, and personally identifiable information. It is your responsibility to use the prompts in this cookbook in accordance with UF policies.

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Responsible Research & Cyber Security

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Do’s

Don’ts

1. Apply Critical Thinking and Ethical Judgment�Use your own reasoning and ethical framework when interacting with AI tools. Treat AI as a supplement to—not a substitute for—your expertise, creativity, and responsibility as a researcher.

2. Prompt with Purpose, Not Passivity�Engage AI purposefully to support specific tasks such as checking grammar, refining structure, or summarizing existing content. Avoid using AI to generate original academic content, especially in contexts where authenticity, authorship, and intellectual integrity matter.

3. Stay up to Date on Required Research Security Trainings

4. Use UF VPN when not on Campus Wi-Fi

5. Use HiPerGator-RV system for file sharing

1. Don’t Upload Personal, Sensitive, or Proprietary Information�Avoid entering any personal, institutional, or confidential data into AI platforms. This includes emails, student records, unpublished research, or anything protected under data privacy laws (e.g., FERPA, HIPAA, GDPR).

2. Don’t Input Identifiable Research Participant Data�Never upload any identifying information or raw participant data into AI tools—especially if your research is IRB-approved or involves human subjects. This includes names, demographic details, survey responses, and interview transcripts.

3. Don’t Assume AI Platforms Are Secure or Private�Most public AI tools store user inputs for training purposes. Even if data is anonymized, the risk of reidentification or data leakage still exists. Always read the privacy policy before use.

4. Don’t Use AI to Analyze or Store Confidential Research�AI is not a secure data storage or analysis tool for protected datasets. Use institutionally approved software or servers for handling sensitive research materials.

5. Don’t conduct research internationally without following UF travel policies (i.e., submitting a TA and receiving approval prior to travel)

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AI as a Tool not a Replacement

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Ethical Applications of AI in Research

Writing Assistance�Improve grammar, clarity, and structure in research writing — while maintaining full authorship and intellectual integrity.

Accessibility Enhancements�Create alternative formats (e.g., audio, text-to-speech, simplified language) to make research more publicly accessible.

Paper Title Refinement�Generate alternative paper titles to improve clarity, impact, or keyword alignment — great for publications and proposals.

Code Label Suggestions�Suggest clearer or more accurate names for codes, categories, or thematic labels — especially in qualitative analysis.

Others?

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Responsible AI

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Recognize (Be aware)

“refers to the knowledge of what distinguishes AI and its role in human-AI collaboration and interaction. ”

Know & understand

“understanding of AI fundamental concepts and … that humans play a significant role in the development of AI.”

Use & apply

“the ability to adapt AI tools to achieve an objective”

Evaluate

“the ability to analyze and interpret the outcomes of AI applications critically.”

Create

AI Literacy

“ability to design and code AI applications…representing higher-order thinking skills.”

Navigate ethically (Understand ethical and societal implications)

“An AI-literate person must be able to understand and judge ethical issues to ensure that the use and development of future AI technology are based on principles such as inclusivity, equitable access, and minimizing the potential for bias [4,54].”

“AI ethics and societal implications are crucial to educating citizens to become socially responsible and ethical users of AI. Human-centered considerations such as fairness, accountability, transparency, ethics, and safety must be given priority [39]. In addition, key ethical issues related to AI, such as privacy, employment, misinformation, ethical decision-making, diversity, and bias, must be identified and described [35].”

(Almatrafi, Johri, & Lee, 2024)

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Responsible AI Competencies

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Communication

Ethics / Responsibility

Critical Thinking / Problem Solving

Management

Big Picture Thinking

Quality Control

Adaptability

People Focus

Cyber Security

Continual learning

Critical evaluation of AI-generated outputs

AI Literacy / AI Ethics

Human- AI Collaboration

Data Management and Analysis

Risk management

Change Management and Innovation

Competencies Identified by Civil Engineers for Responsibly and Ethically Integrating AI into Engineering Practice

(Volpe, Simmons & Beddoes, 2025)

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Why Prompting Matters

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AI Prompt: “Engineering Workspace” (Volpe & Simmons, 2024)

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Why Prompting Matters

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AI Prompt: “Open-concept, colorful, natural light, scenic views, relaxing, greenery, windows, fun, diverse, engineering workspace”

(Volpe & Simmons, 2024)

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How to Write an AI Prompt

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“There are five prompt-writing building blocks.

Remember them by thinking of the PARTS of a prompt:

  1. Persona: Identify your role.
  2. Aim: State your objective.
  3. Recipients: Specify the audience.
  4. Theme: Describe the style, tone, and any related parameters.
  5. Structure: Note the desired format of the output.”

(Google’s Generative AI for Educators Training, 2025)

EXAMPLE

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Hands-On Prompting Activity:

“Prompt with Purpose: Practicing Ethical AI Use in Engineering Research”

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🧪 Scenario

You are writing the introduction for a research paper on sustainable concrete materials. You want to use an AI tool to help improve clarity and flow — but you also want to maintain your intellectual voice and avoid misrepresentation.

📝 Task (5 minutes)

Each group must write two different prompts for the AI tool:

  1. An effective and ethical prompt
  2. An ineffective or ethically questionable prompt

They then run the “effective” prompt through ChatGPT (or another AI platform) to see the result.

🔹 Group Reflection & Discussion (4 minutes)

Ask participants to reflect on:

  • What made the first prompt effective and responsible?
  • What risks or ethical concerns arise from the second prompt?
  • In what ways should we be cautious when using AI for technical writing or coding in research?
  • Would it ever be appropriate to use AI in other parts of their research process? Under what conditions?

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Examples

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Effective Prompt Example:

“I am a civil engineering researcher. This is an introduction for the ASCE Journal of Materials in Civil Engineering. Please revise the following paragraph for grammar and clarity without changing the technical content or tone. This is part of a research paper on sustainable concrete mixes: [Insert text]”

Unethical Prompt Example:

“Write an original introduction for a paper on sustainable concrete that I can submit to a journal. Here is the raw data for the study. ”

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Resources

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References

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Almatrafi, O., Johri, A., & Lee, H. (2024). A systematic review of AI literacy conceptualization, constructs, and implementation and assessment efforts (2019–2023). Computers and Education Open, 6, 100173. https://doi.org/10.1016/j.caeo.2024.100173

Code of Ethics. (2020). American Society of Civil Engineers (ASCE). https://www.asce.org/career-growth/ethics/code-of-ethics

Generative AI for Educators—Grow with Google. (n.d.). Retrieved April 15, 2025, from https://grow.google/ai-for-educators/

Volpe, E., & Simmons, D. (2024). AI’s Visual Representation Gap: Redefining Civil Engineering Workspaces for Early-Career Women. 2024 ASEE Annual Conference & Exposition Proceedings, 46536. https://doi.org/10.18260/1-2--46536

Volpe, E., Simmons, D. R., Beddoes, K. (2025). Human Expertise and AI in Civil Engineering: Competencies for Responsible Integration. European Society for Engineering Education, 2025 SEFI Annual Conference, Tampere, Finland. (Under Review)

 

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Questions?

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For more information:

Website: https://linktr.ee/evolpe999

Email: Evolpe1@ufl.edu or Evolpe999@gmail.com

Simmons Research Lab: https://faculty.eng.ufl.edu/simmons-research-lab/