• Tuotekuvaus

  Artificial intelligence has crossed the liability Rubicon. It is no longer a backend IT experiment governed by soft ethics, voluntary frameworks, and vague policy statements; it is a material financial asset driving enterprise revenue and unprecedented legal exposure. As we transition into Industry 5.0, algorithms are making autonomous, consequential decisions at machine speed. Yet, corporate boards and risk committees are attempting to govern these gigahertz systems using static compliance checklists designed for a slower, simpler era. The result is a looming crisis of algorithmic discrimination, regulatory friction, and catastrophic reputational decay. When an opaque, black-box model hallucinates financial advice or leaks proprietary trade secrets, the ensuing failure cascade can destroy billions in market capitalization overnight. AI Governance and Risk Management provides the definitive, boardroom-ready blueprint for surviving the fragmented global regulatory dragnet. This book dismantles the illusion of traditional "Human-in-the-Loop" oversight, proving that true algorithmic safety requires hard, architectural constraints. Drawing on decades of technology operations and academic leadership, the text translates classical financial auditing principles into executable machine logic. The author brings unparalleled practical experience—from supporting six Silicon Valley startups in client-facing roles to develop computer vision use cases, to leading over 30 continuous improvement projects for Cisco Systems. Having authored foundational texts on Segregation of Duties (SOD) and Hierarchical SOD two decades ago, and backed by 15 years of teaching financial risk management, this expertise culminates in the AI Integrity Framework (AIIF). This Hamiltonian approach empowers organizations to embed continuous improvement cycles and strict SOD directly into their deployment pipelines. Readers will discover how to engineer automated "Build Breaks," architect deterministic kill switches, and secure the unstructured data supply chain against copyright contamination and intellectual property theft. By shifting from reactive public relations to proactive "Governance as Code," Chief Risk Officers, legal counsel, and audit committees can mathematically prove fiduciary control to regulators across overlapping jurisdictions, from California to the European Union. Authored by a veteran industry practitioner, creator of five previous Wiley & Sons texts, and current developer of the Industry 5.0 and AI curriculum at Santa Clara University, this release is not a theoretical ethics manual. It is an uncompromising operational survival guide. It provides the exact structural tools necessary to transform artificial intelligence from an unquantified off-balance-sheet liability into a fully auditable, legally defensible, and highly profitable enterprise asset.

• Tuotetiedot

  • Kustantaja / Valmistaja Taylor & Francis Ltd
  • ISBN 9781041379881
  • Tuotekoodi 9781041379881
  • Alanimike The AI Integrity Framework (AIIF) for Enterprise Control and Regulatory Compliance
  • Kirjoittajat Anthony G. Tarantino
  • Kieli Englanti
  • Thema-luokitus Liiketoimintastrategiat; Matkailu- ja palveluala; Säätötekniikka; Digitaali- ja tietotekniikan oikeudelliset näkökohdat; Tietoturva; Tekoäly
  • Ilmestymispäivä 27.01.2027
  • Vuosi 2027
  • Tuoteryhmä Ulk talous, yhteiskunta
  • Tuotepääryhmä Ulkomaiset tietokirjat
  • Tuotelinja Kirjat
  • Sivumäärä 296
  • Pituus (mm) 234
  • Leveys (mm) 156
  • Tuotemuoto Kovakantinen
  • Tuoteturvallisuusyhteystiedot Taylor & Francis Verlag GmbH, GPSR@taylorandfrancis.com, Kaufingerstraße 24, 80331 München, Germany, 80331, München
  • ALV 13,5%

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