AI Governance Handbook (eBook)

A Practical Guide for Enterprise AI Adoption

Sunil Gregory, Anindya Sircar (Autoren)

eBook Download: PDF

2025
271 Seiten
Springer (Verlag)
978-3-031-89266-0 (ISBN)

Infos

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.

Produkt-Details

• Erscheint lt. Verlag: 14.8.2025
• Reihe/Serie: Professional Practice in Governance and Public Organizations
• Vorwort: Kris Gopalakrishnan
• Zusatzinfo: XXVII, 271 p. 12 illus.
• Sprache: englisch
• Themenwelt: Geisteswissenschaften ► Philosophie ► Allgemeines / Lexika
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: 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: 3-031-89266-6 / 3031892666
• ISBN-13: 978-3-031-89266-0 / 9783031892660