References
AI training
Preface
1
Introduction
Part 1: Fundamentals of Generative AI e Tools
2
The Evolution of Generative Artificial Intelligence and its Application in Academic Research
3
Updated Overview of Generative AI Tools
4
Prompt Engineering for Research: Techniques, Workflows, and Evaluation
5
Use Cases in Social Sciences and Humanities (SSH) Research
6
Artificial Intelligence for Academic Writing: Strategies, Applications, and Limitations
7
Mapping the Workflow of an Academic Paper: Integrating AI at Every Stage
Part 2: Advanced applications of AI in Research and Creativity
8
AI as a Creative Partner
9
GAI as a Design support tool
10
Writing calls, grants, abstracts, and intelligent automations
11
Scientific and popular communication
Part 3: Ethical aspects and responsibility in the use of AI
12
Epistemology and Transparency
13
Implications of the use of AI in research
14
Bias and source quality
15
Accountability in peer review and responsibility
16
Towards a renewed operational ethics
References
References
Knuth, Donald E. 1984.
“Literate Programming.”
Comput. J.
27 (2): 97–111.
https://doi.org/10.1093/comjnl/27.2.97
.
16
Towards a renewed operational ethics