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Sinopsis
Integrating Artificial Intelligence (AI) presents immense opportunities and daunting challenges in the rapidly evolving finance landscape as AI-driven algorithms and models revolutionize decision-making and enhance efficiency, concerns about bias, ethics, and security loom. Financial institutions must navigate these complexities responsibly while leveraging AI's potential to innovate and thrive. Risks and Challenges of AI-Driven Finance: Bias, Ethics, and Security guides this dynamic environment. Written for professionals, researchers, policymakers, and students, this book comprehensively explores AI's impact on finance. It delves into the intricacies of bias in algorithms, ethical frameworks, cybersecurity, and regulatory compliance, offering actionable insights to address these critical issues.
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Acerca del autor
Dr. Siraj Kunjumuhammed is an experienced academic and quality assurance expert, currently serving as Assistant Professor at the Modern College of Business & Science, Sultanate of Oman. He is listed in the Register of External Reviewers at the Oman Authority for Academic Accreditation and Quality Assurance in Education (OAAAQA), contributing to institutional quality assurance and accreditation processes. Dr. Siraj holds multiple professional certifications, including IRCA-certified ISO 9001:2015 Lead Auditor, and Certified Risk Professional for ISO 22301:2012 (Business Continuity Management), ISO 27001:2013 (Information Security Management), and ISO 31000:2018 (Risk Management Standards). Dr. Siraj earned his Ph.D. in Finance and Banking from Cochin University of Science and Technology (CUSAT, India) and holds MBA and MCom degrees in Finance from Mahatma Gandhi University, India. Dr. Siraj has edited and authored books on quality assurance, corporate finance, and sustainable finance, reflecting his interdisciplinary expertise in business education and financial governance. His research interests encompass corporate finance, bank asset quality and performance, and an interdisciplinary focus on quality assurance and entrepreneurship. He actively engages in sustainable finance research, exploring regulatory frameworks, financial stability, and governance mechanisms. Dr. Siraj has chaired national and international conferences and served as a session chair at several global academic forums, facilitating discussions on corporate finance, quality assurance, and sustainable finance
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Risks and Challenges of AI-Driven Finance: Bias, Ethics, and Security
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Igi Global Scientific Publishing, 2024
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Risks and Challenges of AI-Driven Finance : Bias, Ethics, and Security
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Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Integrating Artificial Intelligence (AI) presents immense opportunities and daunting challenges in the rapidly evolving finance landscape as AI-driven algorithms and models revolutionize decision-making and enhance efficiency, concerns about bias, ethics, and security loom. Financial institutions must navigate these complexities responsibly while leveraging AI's potential to innovate and thrive. Risks and Challenges of AI-Driven Finance: Bias, Ethics, and Security guides this dynamic environment. Written for professionals, researchers, policymakers, and students, this book comprehensively explores AI's impact on finance. It delves into the intricacies of bias in algorithms, ethical frameworks, cybersecurity, and regulatory compliance, offering actionable insights to address these critical issues. Nº de ref. del artículo: 9798369321850
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