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Green AI: Application of Large Language Models in an Immersive Environment with Human-in-the-Loop (HITL) for Corporate Reputation

Gupta, Suraksha and Abdollahi, Shahpar and Mahmudur, Mohammad and Shin, Matthew Minsuk and Yearanoor, Khan (2026) Green AI: Application of Large Language Models in an Immersive Environment with Human-in-the-Loop (HITL) for Corporate Reputation. In: De Gruyter Handbook of Corporate Reputation Management: Revitalising the Field for Research and Practice. De gruyter Brill, UK, pp. 187-202.

Type of Research: Book Section
Creators: Gupta, Suraksha and Abdollahi, Shahpar and Mahmudur, Mohammad and Shin, Matthew Minsuk and Yearanoor, Khan
Description:

Artificial intelligence (AI), as a transformative technological innovation, offers solutions to sustainability challenges and strengthens corporate reputation by forecasting that aids decision-making. Large language models (LLMs) with Humans-in-the-loop can identify inefficiencies, shortages, and alternatives to control overproduction and waste with efficient decision-making with insights, contextual judgment, and ethical accountability with oversight in a complex system.

Official Website: https://www.degruyterbrill.com/document/doi/10.1515/9783111478012-011/html#MLA
Publisher/Broadcaster/Company: De gruyter Brill
Your affiliations with UAL: Colleges > London College of Communication
Colleges > London College of Fashion
Date: 19 August 2026
Date Deposited: 06 Oct 2026 14:00
Last Modified: 06 Oct 2026 14:00
Item ID: 27905
URI: https://ualresearchonline.arts.ac.uk/id/eprint/27905

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