Year: 2025
Type: article
Abstract: The integration of Generative AI (GenAI) systems has transformed research methodologies and policy development processes across organizations globally. Through advanced language models and deep learning architectures, these systems enable rapid data processing, enhanced decision-making, and improved collaboration between humans and machines. The technological framework encompasses sophisticated validation mechanisms, bias mitigation strategies, and data processing capabilities that streamline complex analytical tasks. In academic settings, GenAI facilitates comprehensive literature reviews, pattern recognition, and hypothesis generation, while in policy development, it enables thorough stakeholder impact assessments and simulation of policy outcomes. Looking ahead, the focus shifts toward enhancing AI explainability, standardizing collaboration protocols, and strengthening ethical frameworks for broader implementation.
Author: Ashrith Reddy Mekala
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4407592196