The Transformative Role of Artificial Intelligence in Academia and Professional Spheres

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.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-18
DOI
https://doi.org/10.5281/zenodo.15691234
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

The Transformative Role of Artificial Intelligence in Academia and Professional Spheres

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Healthcare and Education
article

The Transformative Role of Artificial Intelligence in Academia and Professional Spheres

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 62%
Artificial Intelligence in Healthcare and Education
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