The Future of AI: ABLE's (A Beautiful Lovely Engine) Vision for a More Human-Centric Approach

Authors

  • Rasidah binti Sardi Lecturer
  • Muhamad Muzzaffar Shah Bin Mohd Esa
  • Faudzi Bin Ahmad

Keywords:

Selected:artificial intelligence, innovation, intelligent-responsive-system

Abstract

In the rapidly advancing field of Artificial Intelligence (AI), project ABLE introduced as "A Beautiful Lovely Engine" (ABLE) is an initiative intelligent responsive inspired by beauty and love. This project aim is to develop an intelligence-responsive system comparable to ChatGPT, with the capability of accessing the vast expanse of the Internet. The problem with conventional AI models often falls short in providing a holistic and emotionally resonant user experience and struggle to harness the vast knowledge available on the Internet. Therefore, ABLE aims to provide users with a delightful and aesthetically pleasing experience while tapping into immense digital knowledge. The development of ABLE is using Rapid Application Development (RAD) Model, involving phases from Requirements Planning, User Design, Rapid Construction, and Cutover. Based on research findings, it showed a clear preference for intuitive, emotional, and prompt AI interactions among users, highlighting as the project's necessity. ABLE should have optimal performance, emotional understanding, and high scalability for a smooth user experience. However, the project faces challenges including limited computational resources, hardware limitations, user acceptance and engagement, and ethical considerations surrounding data privacy, security, and responsible AI usage. In conclusion, by combining beauty and love with advanced technology, ABLE strives to create an unparalleled user experience, meeting various needs while promoting engagement and knowledge sharing. This visionary project redefines user interactions, aspiring to be a beacon of innovation. Through meticulous design and integration, ABLE offers smooth and intuitive responses to user queries and commands.

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Published

2025-06-25