Bridging the AI Adoption Gap in the Workplace: A Human-Centered Roadmap for Ethical and Effective Integration
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Analysis Study Research Paper | Computer Science and Information Technology | United States of America | Volume 14 Issue 4, April 2025 | Popularity: 2.8 / 10


     

Bridging the AI Adoption Gap in the Workplace: A Human-Centered Roadmap for Ethical and Effective Integration

Sukriti Bharti


Abstract: Despite the rapid growth in the number of Artificial Intelligence (AI) consumer products, our current landscape lacks enterprise tools that show meaningful AI adoption. This is one of the gaps that limits the transformational potential that AI possesses to improve productivity and employee experience. While most of the organizations heavily invest in AI strategies and solutions, internal adoption often stalls due to legacy systems, insufficient change management and misalignment of technical capabilities and consumer need. This article explores causes of this gap and examines how it can be strategically bridged. It needs to happen through human centric designs, cross - functional collaboration and iterative implementation. By analyzing current barriers and emerging trends, I propose a practical roadmap for integration AI into employee tools in an ethical, inclusive and outcome - oriented way. Bridging the gap is not only a technical challenge, but also a leadership imperative.


Keywords: Artificial Intelligence, Enterprise Tools, Product Management, Digital Transformation, AI Adoption, Business and Management, Operational Excellence


Edition: Volume 14 Issue 4, April 2025


Pages: 1186 - 1188


DOI: https://www.doi.org/10.21275/SR25414103338


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Sukriti Bharti, "Bridging the AI Adoption Gap in the Workplace: A Human-Centered Roadmap for Ethical and Effective Integration", International Journal of Science and Research (IJSR), Volume 14 Issue 4, April 2025, pp. 1186-1188, https://www.ijsr.net/getabstract.php?paperid=SR25414103338, DOI: https://www.doi.org/10.21275/SR25414103338

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