events

This session explores how faculty can move beyond using AI as a simple tool and begin working with it as a structured research committee. Instead of shortcuts or text generation, you’ll learn how generative AI can simulate roles such as journal editor, reviewer, methodologist, and domain expert to strengthen research design, clarify contributions, and respond strategically to reviewer feedback.

Featuring: Dr. Nasrin Mohabbati
Assistant Professor of Information Systems | Founding Director, SMARTS Lab

Dr. Nasrin Mohabbati’s work in human-centered AI, large-scale optimization, and digital transformation bridges rigorous research with real-world impact.

Key Questions She’ll Explore:

• How can AI simulate an effective research committee?
• What structured prompting techniques improve rigor and output quality?
• How can faculty reduce wasted effort across the research lifecycle?

🗓 April 10, 2026
🕛 12:00 PM Pacific Time
🔗 Link: https://shorturl.at/7hOam
💻 Meeting ID: 830 5418 1383
🔑 Passcode: 886269

In this hands-on session, she will demonstrate how faculty can transform existing course materials into an interactive AI assistant. Using a simple syllabus as a blueprint, you’ll see how a custom GPT can answer student questions, explain project requirements, and provide 24/7 course support — all without programming.

Featuring: Yiwen Chen
Assistant Professor of Marketing | AI-Driven Pedagogy Innovator

Yiwen Chen specializes in AI curriculum integration and has designed several popular ChatGPT-hosted classroom chatbots at SFSU to enhance student engagement and administrative efficiency.

Key Questions She’ll Address:

• How can faculty quickly build a custom classroom AI without technical expertise?
• What course materials work best for creating an AI assistant?
• How can AI reduce repetitive student emails and administrative workload?

🗓 March 13, 2026
🕚 11:00 AM Pacific Time
🔗 Link: https://shorturl.at/gWiLi
💻 Meeting ID: 897 6336 5654
🔑 Passcode: 199670

Description: Curious about ChatGPT Edu and what it can do for you, but not sure where to start? This introductory workshop offers a guided tour of the secure, CSU-licensed version of OpenAI’s ChatGPT, available to all active SFSU faculty, staff, and students. You’ll learn what ChatGPT Edu is, how to access and navigate the platform, and how key features can support productivity and learning in various contexts. By the end of the session, you’ll be ready to explore ChatGPT Edu in your own work.

This workshop is brought to you by the AI Literacy Education Program.

Learning Objectives:

• Understand what ChatGPT Edu is and what its benefits are
• Access and navigate ChatGPT Edu through the SFSU workspace
• Identify and explore key features for productivity and learning

Duration: 60 minutes

Description: This course explores the critical analysis of generative AI to support responsible use of this technology. Learn how AI models are trained and why misinformation and biases may occur in AI-generated content. Develop strategies to analyze AI outputs and assess AI tools for quality and ethical considerations. Participants will be expected to engage in the evaluation process through collaborative, hands-on activities and reflective discussions.

This course is an elective that counts toward receiving a digital badge for the AI Literacy Education Program.   

Objectives: In this course, you will learn to:  

• Describe how AI models are trained on data
• Summarize how misinformation and biases occur from training data
• Identify types of biases that arise in AI outputs
• Critically analyze AI outputs for accuracy and potential biases
• Explain how to critically evaluate AI tools

Duration: 60 minutes

Experience Level: Basic familiarity with generative AI chatbots like Microsoft Copilot or ChatGPT

Description: This course offers a focused exploration of prompting and iteration strategies for generative AI chatbots. Through collaborative, hands-on activities and interactive exercises, participants will learn to write clear, effective prompts, apply refinement techniques, and assess AI-generated outputs for accuracy and relevance to achieve more reliable and useful results in a variety of practical contexts.

This course is required to receive a digital badge for the AI Literacy Education Program.

Objectives: In this course, you will learn to: 

• Write effective prompts to get accurate and useful results from AI tools
• Refine and improve AI outputs using practical feedback and iteration techniques
• Evaluate AI-generated content to determine its accuracy and relevance to your needs

Duration: 60 minutes

Experience Level: Basic familiarity with generative AI chatbots like Microsoft Copilot or ChatGPT

Description: This course introduces generative AI to those with little or no prior experience engaging with this emerging technology. Participants obtain a foundational understanding of generative AI, its associated opportunities and implications, and basic strategies for composing and iterating prompts. Participants will engage in hands-on interaction with AI chatbots (Microsoft Copilot or OpenAIChatGPT) to begin generating practical outputs for a variety of use cases.

This course is an elective that counts toward receiving a digital badge for the AI Literacy Education Program.   

Objectives: In this course, you will learn to:  

• Summarize what generative AI is, how it works, and how it differs from other AI types
• Describe accuracy and ethical considerations associated with generative AI
• Identify task-related opportunities with generative AI
• Apply foundational prompting strategies to produce practical outputs with generative AI chatbots

Duration: 60 minutes

Experience Level: Little or no familiarity with generative AI and/or AI chatbots necessary

Description: This course explores image creation with generative AI. Participants will gain a primer on generative AI tools for image creation, considerations for using generative AI, and best practices for creating effective and accessible images for various use cases. Through hands-on activities, participants will develop skills in crafting descriptive prompts and selecting
appropriate visual styles to generate unique images with ChatGPT, Microsoft Copilot, and Adobe Firefly.

This course is an elective that counts toward receiving a digital badge for the AI Literacy Education Program.

*Disclaimers: 

• This course utilizes Adobe tools which are available to faculty, staff, and select student populations. Students will need to ensure they have access to Adobe apps before attending this workshop.
• Adobe Firefly and Express are accessed via the web. Participants do NOT need to download Adobe Creative Cloud.

Objectives: In this course, you will learn to:  

• Understand the basics of generative AI technology for image creation
• Write descriptive prompts and use visual style options to generate images
• Employ best practices for creating effective and accessible images

Duration: 60 minutes

Experience Level: Little or no familiarity with generative AI tools for image creation

Description: This course explores the critical analysis of generative AI to support responsible use of this technology. Learn how AI models are trained and why misinformation and biases may occur in AI-generated content. Develop strategies to analyze AI outputs and assess AI tools for quality and ethical considerations. Participants will be expected to engage in the evaluation process through collaborative, hands-on activities and reflective discussions.

This course is an elective that counts toward receiving a digital badge for the AI Literacy Education Program.   

Objectives: In this course, you will learn to:  

• Describe how AI models are trained on data
• Summarize how misinformation and biases occur from training data
• Identify types of biases that arise in AI outputs
• Critically analyze AI outputs for accuracy and potential biases
• Explain how to critically evaluate AI tools

Duration: 60 minutes

Experience Level: Basic familiarity with generative AI chatbots like Microsoft Copilot or ChatGPT

Description: This course explores the critical analysis of generative AI to support responsible use of this technology. Learn how AI models are trained and why misinformation and biases may occur in AI-generated content. Develop strategies to analyze AI outputs and assess AI tools for quality and ethical considerations. Participants will be expected to engage in the evaluation process through collaborative, hands-on activities and reflective discussions.

This course is an elective that counts toward receiving a digital badge for the AI Literacy Education Program.   

Objectives: In this course, you will learn to:  

• Describe how AI models are trained on data
• Summarize how misinformation and biases occur from training data
• Identify types of biases that arise in AI outputs
• Critically analyze AI outputs for accuracy and potential biases
• Explain how to critically evaluate AI tools

Duration: 60 minutes

Experience Level: Basic familiarity with generative AI chatbots like Microsoft Copilot or ChatGPT

Description: This course offers a focused exploration of prompting and iteration strategies for generative AI chatbots. Through collaborative, hands-on activities and interactive exercises, participants will learn to write clear, effective prompts, apply refinement techniques, and assess AI-generated outputs for accuracy and relevance to achieve more reliable and useful results in a variety of practical contexts.

This course is required to receive a digital badge for the AI Literacy Education Program.

Objectives: In this course, you will learn to: 

• Write effective prompts to get accurate and useful results from AI tools
• Refine and improve AI outputs using practical feedback and iteration techniques
• Evaluate AI-generated content to determine its accuracy and relevance to your needs

Duration: 60 minutes

Experience Level: Basic familiarity with generative AI chatbots like Microsoft Copilot or ChatGPT