AI-Enabled Tools: Shaping the Future of Technology
INTRODUCTION: AI-enabled tools are revolutionizing various fields, ushering in a transformative era for technology and industry. These advancements impact diverse sectors, from customer service and industrial design to cybersecurity and computer vision, reshaping human-computer interactions.OBJECTIVES: This article explores the applications and advancements of AI tools, focusing on chatbots, image and text generation, literature review research, AI-driven coding tools, and emerging applications in cybersecurity and media analysis. It also provides an overview of publicly available AI tools and conducts a comparative analysis of leading chatbots.METHODS: A comprehensive review and analysis were conducted on tools including ChatGPT, CodeGPT, and AI systems for image and text generation. The study also examined AI applications in spear phishing defense, facial recognition across age variations (FaceNet), and deepfake detection, alongside a comparative analysis of chatbots such as ChatGPT, Google Bard, LLaMA, and MS Bing.RESULTS: The exploration revealed that chatbots like ChatGPT have redefined customer service, while AI tools for image generation impact art, medical imaging, and industrial design. AI-driven text generation and coding tools enhance content creation and software development efficiency. Additionally, AI applications in cybersecurity, facial recognition, and deepfake detection demonstrate the technology’s growing societal relevance. Comparative analysis of chatbots highlighted their distinct capabilities across platforms.CONCLUSION: AI-enabled tools are shaping the future of technology, driving innovation, and expanding possibilities across industries and societal domains. The findings emphasize the need for continued exploration, ethical application, and responsible deployment to maximize their potential while addressing associated challenges.
Authors
- Sukanya Ledalla (ORCID: https://orcid.org/0000-0001-6503-1252)
- Priyanka Kumari Bhansali
- J. Sirisha Devi
- Maria Gäde (ORCID: https://orcid.org/0000-0002-1728-9440)
- Venkata Rama Padmaja Chinimilli
Institutions
- Andhra University (IN)
- Koneru Lakshmaiah Education Foundation (IN)
Publication Details
- Journal
- ICST Transactions on Scalable Information Systems
- Published
- 2025-10-09
- DOI
- https://doi.org/10.4108/eetsis.8213
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00