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Event Detail

Breaking Down AI Bias Through Scaffolded Prompt Construction

Monday, January 27, 2025 12:00–1:00 PM
  • Location
    TBD
  • Description
    This workshop steps into the nuanced world of AI prompt engineering, focusing on how carefully constructed prompts can mitigate biases inherent in large language models. Participants will use an AI image generator to better understand their own biases in the process of prompt engineering and learn a step-by-step approach to building prompts that promote fairness and inclusivity.<br><strong>Facilitated by:</strong> Roberto Cásarez, Academic Technology and AI Literacy Specialist<strong>Format:</strong> Discussion and Hands-On Activities<strong>Audience: </strong>Faculty, staff, students<br><strong>Session Objectives:</strong><br><br>Recognize the concept of user bias in AI systems and its potential impact on generated content<br>Identify biases in AI-generated content, including ageism, sexism, classism, and racial biases<br>Learn scaffolded prompt construction as a systematic approach to bias mitigation<br>Engage in collaborative discussions to share insights, challenges, and potential solutions related to bias in AI-generated content<br><br><em>Part of the <a href="/workshops-and-events/walk-the-walk-week/#top">Tech for Good series</a> being presented during <a href="https://walkthewalk.nd.edu/">Walk the Walk Week</a> by Teaching and Learning Technologies (Office of Information Technology), the Navari Family Center for Digital Scholarship (Hesburgh Libraries), Notre Dame Learning, and the Klau Institute for Civil and Human Rights</em><br><em><br></em><br><a href="https://learning.nd.edu/workshops-and-events/2025/01/27/breaking-down-ai-bias-through-scaffolded-prompt-construction/">https://learning.nd.edu/workshops-and-events/2025/01/27/breaking-down-ai-bias-through-scaffolded-prompt-construction/</a><em></em>

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