Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
<b>GENERATIVE AI: TRANSFORMING CREATIVITY AND PRODUCTIVITY</b> <b> </b> Dr Neelam C Dey
0
Zitationen
1
Autoren
2026
Jahr
Abstract
Generative Artificial Intelligence (AI) represents one of the most significant technological innovations of the twenty-first century. Unlike traditional artificial intelligence systems that primarily analyze and interpret data, generative AI systems can create new digital content such as text, images, music, videos, and software code. The rapid development of large language models and deep learning technologies has accelerated the integration of generative AI across industries including marketing, healthcare, education, finance, and software engineering. This research article examines the evolution, applications, and economic implications of generative AI while highlighting its potential to enhance productivity and creativity. The study also explores the ethical challenges associated with generative AI, including data privacy concerns, misinformation, and intellectual property issues. Drawing on recent empirical studies and industry reports, the article concludes that generative AI will significantly reshape the future of work, economic productivity, and digital innovation.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.539 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.426 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.921 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.586 Zit.