Balancing Bytes and Ethics: Stakeholder Implications of Private LLMs
DOI:
https://doi.org/10.33423/jabe.v26i4.7280Keywords:
business, economics, artificial intelligence, private large language models, AI governance, data privacy, stakeholder theory, ethicsAbstract
This research explores the ethical implications of private large language models (PLLMs) through the lens of stakeholder theory. Private LLMs, tailored for specific organizational needs, present unique privacy and data protection challenges. We examine the historical development of LLMs and their impact on stakeholders, including shareholders, employees, customers, and society. Our proposed framework balances stakeholder interests with ethical considerations, offering a comprehensive approach to the ethical development and deployment of PLLMs. This framework emphasizes transparency, accountability, and sustainable practices to ensure long-term value creation. Future research directions include developing regulatory frameworks, conducting detailed social impact assessments, and exploring strategies for effective human-AI collaboration. This study contributes to academic discourse by providing a multi-faceted approach to managing the ethical challenges posed by PLLMs, fostering best practices, and mitigating potential conflicts among stakeholders.
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