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Authors: Victor Chang ; Leigh Draper and Simin Yu

Affiliation: Department of Operations and Information Management, Aston Business School, Aston University, Birmingham, U.K.

Keyword(s): Generative AI, Risk Management, Mitigation Strategies.

Abstract: In Healthcare Procurement, This Study Delves into the Integration of Generative AI, Focusing on Its Application within HealthTrust Europe’s marketing and communication frameworks. By analyzing the interplay between innovative AI-driven content personalization and the associated ethical, security, and operational risks, the research offers a nuanced perspective on leveraging technology for enhanced efficiency and engagement. The study employs qualitative research methods to assess risks and propose mitigation strategies, advocating for best practices in AI governance and risk management. It emphasizes the importance of maintaining network security, data integrity, and ethical standards in deploying AI solutions.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Chang, V.; Draper, L. and Yu, S. (2024). Generative AI Risk Management in Digital Economy. In Proceedings of the 6th International Conference on Finance, Economics, Management and IT Business - FEMIB; ISBN 978-989-758-695-8; ISSN 2184-5891, SciTePress, pages 120-127. DOI: 10.5220/0012729800003717

@conference{femib24,
author={Victor Chang. and Leigh Draper. and Simin Yu.},
title={Generative AI Risk Management in Digital Economy},
booktitle={Proceedings of the 6th International Conference on Finance, Economics, Management and IT Business - FEMIB},
year={2024},
pages={120-127},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012729800003717},
isbn={978-989-758-695-8},
issn={2184-5891},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Finance, Economics, Management and IT Business - FEMIB
TI - Generative AI Risk Management in Digital Economy
SN - 978-989-758-695-8
IS - 2184-5891
AU - Chang, V.
AU - Draper, L.
AU - Yu, S.
PY - 2024
SP - 120
EP - 127
DO - 10.5220/0012729800003717
PB - SciTePress