A Practical Guide to Artificial Intelligence Tools
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Contents
- About This Book
- 1. Understanding AI Tools and Their Limits
- 2. Choosing the Right Tool for the Job
- 3. General-Purpose and Conversational AI
- 4. Research, Literature Discovery, and Evidence Checking
- 5. Academic Writing, Editing, and Referencing
- 6. Data Analysis, Statistics, and Visualisation
- 7. Teaching, Learning, and Assessment
- 8. Business, Management, Marketing, and Entrepreneurship
- 9. Coding, Software, and Technical Work
- 10. Images, Presentations, Video, and Audio
- 11. Productivity, Collaboration, and Automation
- 12. Translation, Accessibility, and Communication
- 13. Professional and High-Stakes Uses
- 14. Prompting: How to Work Effectively with AI
- 15. Privacy, Security, Bias, Copyright, and Research Integrity
- 16. An Organisational AI Governance Framework
- 17. Practical Workflows and Checklists
- 18. Future Directions and Continuous Learning
- Appendix A. Prompt Library
- Appendix B. Tool Selection Matrix
- A Note on Product Names and Access
- References
- Suggested Citation
- Final Reminder