Practical AI Strategies
Description
Amid the discourse surrounding the controversial role of generative AI in education, Practical AI Strategies goes beyond the hype to explore the opportunities and challenges of the technology in K-tertiary education. The book looks past individual applications to explore the broader landscape of generative artificial intelligence, offering educators invaluable insights into its workings and ethical considerations.
Divided into six parts, Practical AI Strategies guides readers through the construction and ethics of generative AI technologies, navigates policy landscapes and provides practical strategies for using these technologies in education. Detailed sections on text and image generation provide a solid foundation for using generative AI, and prepare educators for multimodal technologies on the near horizon including video, audio and 3D generation.
Leon Furze prompts educators to engage critically with generative AI and consider the near future of this rapidly developing technology. He encourages readers to navigate this terrain with an open mind and a discerning eye, and stresses the need for educators to have the fundamental skills to work with generative AI.
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Content
Acknowledgements
About this book
Introduction
Part 1: What is generative artificial intelligence?
Chapter 1 Generative artificial intelligence
Chapter 2 What is a prompt?
Part 2: Generative AI ethics
Chapter 3 Bias and discrimination
Chapter 4 Environmental concerns
Chapter 5 Truth and misinformation
Chapter 6 Copyright and intellectual property
Chapter 7 Privacy and datafication
Chapter 8 Human labour
Part 3: Assessment and school guidelines
Chapter 9 Beyond cheating
Chapter 10 The AI Assessment Scale
Chapter 11 Rethinking assessment for GenAI
Chapter 12 Australian Framework for Generative AI in Schools
Chapter 13 UNESCO guidelines
Chapter 14 Writing school guidelines
Chapter 15 Example academic integrity policy
Chapter 16 Do you need this application or platform?
Part 4: Practical strategies for GenAI
Chapter 17 Planning
Chapter 18 Refreshing
Chapter 19 Improvising
Chapter 20 Personalising
Chapter 21 Collaborating
Chapter 22 Communicating
Part 5: Practical strategies for image generation
Chapter 23 Critiquing
Chapter 24 Sketching
Chapter 25 Designing
Chapter 26 Visualising
Chapter 27 Storyboarding
Chapter 28 Creating
Part 6: The future of GenAI
Chapter 29 Do we all need to be prompt engineers now?
Chapter 30 The future of multimodal GenAI
Chapter 31 Audio generation
Chapter 32 Video generation
Chapter 33 3D asset generation
Chapter 34 Code generation
Chapter 35 Bringing it all together
Conclusion
References
Further reading
GenAI apps and services
About the author
