Andi Asrifan, Rusmayadi Rusmayadi, Hasmawaty Hasmawaty, Nirwana Nirwana, S. Sivaraja, Anita Candra Dewi
Rapid technological breakthroughs in the 21st century have changed knowledge discovery and management, especially with AI. AI is great at processing massive datasets quickly and accurately but lacks contextual awareness, ethical judgment, and creative problem-solving. The mismatch highlights a key knowledge gap: present systems often function in silos, with AI analyzing data and humans interpreting the results, missing potential for deeper insights. We propose a new framework combining AI's computing power and human cognition. We show that a hybrid strategy can improve knowledge discovery in complex and multidisciplinary environments using these complementary forces. According to our findings, this integration enhances data processing efficiency and generates more meaningful and human-valued insights. This research is significant because it promotes a more dynamic and iterative knowledge discovery process, which can improve healthcare and education decision-making. © 2025 by IGI Global Scientific Publishing. All rights reserved.
Universitas Negeri Makassar, Indonesia; Universitas Islam Makassar, Indonesia; Poompuhar College, Annamalai University, India
