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Office of IDEAS

Generative AI for Faculty and Students

What is Generative AI

Generative AI refers to artificial intelligence systems that have the ability to generate content, such as text, images, or even videos, that is often indistinguishable from content created by humans. These systems are trained on large datasets of human-generated content and use various algorithms, such as neural networks, to produce new content based on patterns and information they have learned from the training data.

While generative AI offers several benefits for higher education, it's essential to consider ethical and privacy implications, including issues related to data security, bias in AI-generated content, and the need for human oversight to ensure the quality of educational materials. Institutions and educators should carefully implement and monitor the use of generative AI to maximize its positive impact on teaching and learning.

(the definition above was generated by ChatGPT)

Fresno State created a task force to support a campus wide exploration of Artificial Intelligence (AI) during the 2023-24 academic year. Specifically, the charge is to define how we responsibly leverage AI in ways that are ethical, align with existing university policies, and create guidelines for action. Divisions, college, and school leaders are encouraged to have conversations with employees who have expertise in the use of AI and who have demonstrated their ability to share their experiences in a supportive and intentional manner with their peers. 

The task force includes students and employees and has sub-committees that will explore AI in the context of: 

  • Teaching and Learning - explore the use of AI in educational settings throughout the university
  • Academic Research or Innovation - explore AI in research, scholarship, creative activities, and innovation
  • Security, Classified Data, Legal Implications - explore the impact of AI on security and privacy of employees and stakeholders
  • Workforce Development - explore the role of the university in creating programs to prepare faculty, staff, and students for the future of work leveraging AI
  • University and Academic Policies - explore potential impacts to university and academic policies by the integration of AI throughout the organization 
  • Work Integrity - explore the use of AI in job tasks at every level of the university

These subcommittees will report their findings to the campus community in spring 2024.

Other drivers of this process will include:

  • Open forums with various stakeholders
  • Surveys for initial feedback
  • Focus groups with various stakeholders
  • Academic Senate Discussions

Questions can be emailed directly to

[blurb about teaching strategies with AI]

[blurb about the challenges posed in the realm of academic integrity]

[blurb about how faculty can use AI tools to be more productive/effective in teaching and research]

  • Rubric creation
  • Quiz question generation
  • Unique case study ideas
  • Prompting for students
  • Research aids
  • Courses activities
  • Grading?? 

[blurb about how students can use AI tools to be more productive in their studying and learning (where permitted)]

  • Personalized tutoring
  • Writing feedback
  • Self-quizzing
  • Brainstorming

  • Link to IDEAS syllabus statements document
  • Link to online document of large library of AI syllabus statements

Standard FAQ items