Saved in:
| Main Author: | |
|---|---|
| Format: | Recurso digital |
| Language: | English |
| Published: |
Zenodo
2025
|
| Subjects: | |
| Online Access: | https://doi.org/10.5281/zenodo.15691234 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Table of Contents:
- <p><strong><span>Artificial Intelligence (AI) has emerged as a transformative force in academia and professional domains, revolutionising traditional practices and fostering innovation. In academics, AI-driven tools enhance teaching and learning through personalised educational experiences, automated grading systems, and adaptive learning platforms. Researchers benefit from AI-powered data analysis, predictive modelling, and efficient literature reviews, accelerating scientific discovery. Meanwhile, in professional fields, AI optimises workflows, improves decision-making, and facilitates the automation of routine tasks, enabling professionals to focus on strategic and creative endeavours. The integration of AI also raises ethical considerations, including data privacy, algorithmic bias, and the need for upskilling to adapt to an AI-driven future. This abstract explores the multifaceted role of AI in these sectors, highlighting its potential to advance knowledge, streamline operations, and address challenges associated with its adoption.</span></strong></p>