AI Governance Handbook

A Practical Guide for Enterprise AI Adoption

Sunil Gregory, Anindya Sircar (Autoren)

Buch | Hardcover

XXVII, 271 Seiten

2025
Springer International Publishing (Verlag)
978-3-031-89265-3 (ISBN)

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Enterprise AI represents a transformative moment in technology, empowering businesses to unlock the potential of data, automation, and advanced analytics. It drives innovation, streamlines operations, and amplifies competitiveness in an increasingly digital economy. Yet, as promising as this technology is, adopting Enterprise AI is no simple feat. It demands a strategic alignment of AI initiatives with organizational goals while addressing many complex risks and challenges. Businesses face a new frontier of operational dilemmas, from algorithmic bias and data privacy concerns to the legal and ethical quandaries of AI-generated content. Questions of accountability for AI actions, intellectual property rights, and the threat of data laundering or AI hallucinations further complicate the landscape. Amid these challenges, enterprises are tasked with navigating a "pre-regulatory era," where global authorities are racing to establish policies and frameworks for a trustworthy and lawful AI ecosystem. The AI Governance Handbook is a comprehensive guide tailored for stakeholders at the forefront of AI adoption executives, managers, data scientists, engineers, and compliance professionals. This essential resource provides the knowledge, tools, and strategies to lead organizations through the complexities of implementing AI responsibly and effectively. Packed with actionable insights, the handbook explores critical topics such as aligning AI strategies with organizational objectives, managing ethical dilemmas, adhering to emerging regulations, and fostering transparency in AI operations. It offers readers a roadmap to build a resilient and dependable AI framework prioritizing fairness, accountability, and innovation.

Dr. Sunil Gregory is a leader with over two decades of experience in digital transformation, technology consulting, and business development. He has a proven track record of driving large-scale technology transformation initiatives for Fortune 500 clients across industries. Sunil is passionate about the role of AI in shaping the future of societies. He consults Technology companies on setting up AI Governance Offices, as a dedicated function to overseeing Enterprise AI adoption. Prof. (Dr.) Anindya Sircar is currently IPR Chair Professor at NALSAR University of Law, Hyderabad, engaged in consulting, strategizing, teaching, and training programs. He is an Industry veteran in setting up and streamlining all IP activities in multiple industry domains. Formerly, he was the Global IPR Head of Biocon and Head of IP Cell at Infosys. He has figured in Lex Witness's Hall of Fame Top 50 as a prominent player in India's legal sector in 2010. He was featured in IAM Strategy 300 The World's Leading IP Strategists from 2017 to 2023.

Chapter 1: Artificial Intelligence: A foundation.- Chapter 2: Artificial Intelligence and the Rule of Law.- Chapter 3: Enterprise AI: Strategic Guardrail.- Chapter 4: Enterprise AI: Ethical Guardrail.- Chapter 5: Enterprise AI: Legal Guardrail.- Chapter 6: Enterprise AI: Regulatory Guardrail .- Chapter 7: Conclusion.

Erscheinungsdatum	16.08.2025
Reihe/Serie	Professional Practice in Governance and Public Organizations
Vorwort	Kris Gopalakrishnan
Zusatzinfo	XXVII, 271 p. 12 illus.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Geisteswissenschaften ► Philosophie ► Allgemeines / Lexika
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management
Schlagworte	AI Accountability • AI fairness • AI governance • AI Security • algorithmic bias • Algorithmic Transparency • Beneficence and Non-Maleficence • Bias mitigation • Compliance • Consent and Autonomy • ethical AI • explainability • Human Oversight • Interpretability • Limits of legal Automation • Model Explainability • Model Management • Oversight of Autonomous Systems • Product Liability
ISBN-10	3-031-89265-8 / 3031892658
ISBN-13	978-3-031-89265-3 / 9783031892653
Zustand	Neuware