Prompting, Ethics, and Production

This unit builds on foundational GenAI concepts to teach advanced prompt engineering, model selection, and human-in-the-loop quality control for creative and journalistic production. Students will practice producing and validating textual and multimedia outputs while applying ethics, safety, and research-design principles to prepare for portfolio-level projects in subsequent units.

Learning Objectives

• Analyze ethical, legal, and bias-related implications of generative AI outputs in creative and journalistic contexts and recommend safeguards consistent with responsible AI practices
• Apply advanced prompt engineering techniques—including persona framing, structured prompts, chaining, and reward/punishment strategies—to generate targeted text, multimedia assets, and storyboards
• Demonstrate human-in-the-loop quality-control workflows by fact-checking, editing, and iterating AI-generated white papers, news articles, blogs, and multimedia drafts
• Evaluate and select appropriate GenAI models, mini-GPTs, and tooling resources and design research outlines and production plans that integrate AI while mitigating known hazards and model quirks