events

Note: this session is intended for staff and faculty ONLY; ChatGPT Edu for students is planned for Summer 2025.

This event will feature Chris McClean, the Global Lead of Digital Ethics at Avanade, a leading tech consulting and innovation company with over 60,000 employees worldwide. Chris drives Avanade’s internal responsible tech and responsible AI efforts, while also leading the company’s digital ethics advisory practice. With a background in risk management, compliance, and corporate ethics, Chris brings a wealth of expertise to the discussion on the ethical implications of emerging technologies.

📅 Date: Friday, April 4, 2025
⏰ Time: 12:00 PM (PST)
📍 Location: Online (Register to receive the Zoom link)

In this session, Chris McClean will explore how AI technologies and robotics are poised to transform the way we work. From AI tools that automate backend processes to the rise of agentic AI, these technologies promise significant benefits but also introduce new risks. Key topics will include:

• Current and emerging technologies that are reshaping the workplace.
• The importance of Responsible AI practices in ensuring ethical and trustworthy AI adoption.
• How organizations can balance innovation with ethical considerations in the age of AI and robotics.

This event is open to the entire SFSU community, including students, faculty, staff, and alumni. Whether you're interested in the future of work, AI ethics, or the intersection of technology and society, this talk will provide valuable insights into the challenges and opportunities ahead.

This event will feature Dr. Yasalde Jiménez Acosta, a technology strategist and digital transformation leader with over two decades of experience in AI, cloud computing, and enterprise innovation. Dr. Jiménez Acosta currently serves as the Technology Strategy Director at Microsoft, where he advises higher education institutions and healthcare organizations on leveraging emerging technologies to drive innovation and efficiency.

📅 Date: Friday, March 14, 2025
⏰ Time: 12:00 PM (PST)
📍 Location: Online (Register to receive the Zoom link)

In this presentation, Dr. Jiménez Acosta will explore the transformative potential of AI agentic systems in business and higher education. These systems, capable of autonomously performing tasks and making decisions, are revolutionizing business operations and educational environments. Key topics will include:

• Machine learning and natural language processing and their applications in customer service, supply chain management, and decision support.
• Use cases in higher education, such as personalized learning, administrative automation, and enhanced research capabilities.

Join us to discover how AI agentic systems can drive efficiency, innovation, and competitiveness in both business and academia.

This event is open to the entire SFSU community, including students, faculty, staff, and alumni. We encourage you to share this invitation with colleagues and anyone interested in the future of AI and its impact on business and education.

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: 90 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 like Microsoft Copilot. Through collaborative, hands-on activities and interactive exercises, participants will learn to write clear, effective prompts, apply refinement techniques such as prompt chaining, and assess AI-generated outputs for accuracy and relevance to achieve more reliable and useful results in a variety of academic and non-academic 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: 90 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 be expected to engage in hands-on interaction with the Microsoft Copilot chatbot to begin generating practical outputs for personal and professional 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: 90 minutes

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

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: 90 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 like Microsoft Copilot. Through collaborative, hands-on activities and interactive exercises, participants will learn to write clear, effective prompts, apply refinement techniques such as prompt chaining, and assess AI-generated outputs for accuracy and relevance to achieve more reliable and useful results in a variety of academic and non-academic 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: 90 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 be expected to engage in hands-on interaction with the Microsoft Copilot chatbot to begin generating practical outputs for personal and professional 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: 90 minutes

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

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 be expected to engage in hands-on interaction with the Microsoft Copilot chatbot to begin generating practical outputs for personal and professional 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: 90 minutes

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