This unit introduces foundational concepts connecting artificial intelligence, resilient communities, and urban/energy systems, emphasizing socio-technical implications, trustworthy AI, and emerging workforce needs. Students explore case studies in municipal efficiency, energy optimization, human-centered design, and evolving models to prepare for hands-on technical design and data projects in subsequent units.
Learning Objectives
- Analyze at least three case studies (municipal efficiency, energy efficiency, urban design) to identify AI approaches, data sources, and measurable impacts on community resilience
- Evaluate ethical, legal, and trustworthiness considerations by critiquing two real-world AI deployments and recommending specific mitigation or certification strategies
- Apply human-centered design principles to produce a brief prototype plan for an AI-enhanced community service that outlines stakeholders, data requirements, success metrics, and risks
- Demonstrate understanding of evolving work trends by mapping five emerging AI-related roles to required competencies and creating a personal/professional skills development plan with milestones
Curriculum
- 1 Section
- 15 Lessons
- 30 hours
Expand all sectionsCollapse all sections
- Unit 1 — AI, Resilience, and Urban Systems15
- 1.1It All Works Together20 mins
- 1.2Resilience Through Adaptation20 mins
- 1.3In the Pages to Come20 mins
- 1.4What Is Artificial Intelligence?20 mins
- 1.5Improving Municipal Efficiency20 mins
- 1.6Evolving Work Trends20 mins
- 1.7New Models Evolving20 mins
- 1.8Trustworthy AI: Considerations, Use Cases, and Certifications20 mins
- 1.9Helping AI Communities and Ecosystems to Thrive20 mins
- 1.10Ensuring That Human‐Machine Interaction Is “Human‐Centered”20 mins
- 1.11Reshaping Ecosystems and Urban Design with AI20 mins
- 1.12Roadmap for the Future20 mins
- 1.13What Is Big Tech?20 mins
- 1.14Improving Energy Efficiency20 mins
- 1.15Skills of the Future20 mins
Instructor
Free
Leave a Reply