As generative AI becomes a more significant part of our world, the need for technical literacy and adaptability in teaching and learning is more critical than ever. In addition to concerns about privacy, ethical use, and equitable access, educators must navigate the challenge of understanding and applying these transformative technologies. This session introduces the concept of running AI models locally on personal devices, providing a safer and more accessible way to explore AI’s potential while building technical skills and fostering adaptability in an evolving educational landscape.
Key discussion points include:
- Building Technical Literacy: An introduction to the foundational skills required to set up and use AI models locally, helping educators gain confidence in engaging with AI technologies.
- Educational Applications: Examples of how locally-run AI can support activities like content creation, formative assessment, and real-time feedback, while ensuring transparency and control over outputs.
- Ethical AI Use: Addressing the challenges of bias, misinformation, and over-reliance on AI tools while emphasizing the importance of fostering AI literacy among faculty and students.
- Hands-On Setup: A step-by-step guide for participants to deploy a small AI model on their own laptops or a classroom computer, along with troubleshooting tips and resource recommendations
Session Goals:
- Demystify the technical process of running AI locally.
- Equip educators with actionable strategies for implementing AI in a secure, ethical, and accessible way.
- Foster dialogue around the role of locally-run AI in creating inclusive and equitable learning environments.
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