AI Impact, Reflection, and Action

This culminating unit guides learners to synthesize what they have learned about designing and deploying AI for social good by assessing impacts, ethical considerations, and lessons learned. Students engage in structured discussion, produce final conclusions and key takeaways, and prepare actionable next steps and communications for varied stakeholders.

Learning Objectives

• analyze the social, ethical, and economic impacts of an AI solution on diverse stakeholders using evidence from project work and classroom discussions
• evaluate risks, trade-offs, and potential harms (including bias, privacy, and equity) and propose justified mitigation and governance strategies
• apply clear, audience-appropriate communication techniques to present final conclusions, recommendations, and key takeaways using written, visual, or oral media
• demonstrate reflective practice by synthesizing lessons learned into a documented plan of improvements, next steps, and policy or operational recommendations for future AI projects