The Real AI

Creating a Learning Advantage with Cognitive Capital
1. Auflage 2027
ISBN: 978-1-041-19339-5
Verlag: Taylor & Francis Ltd

Buch, Englisch, 480 Seiten, Format (B × H): 178 mm x 254 mm

An AI assistant at a financial technology company took over the work of roughly 700 customer service representatives. A little over a year later, after service quality slipped, the company began hiring human agents again, though the company describes the new hiring as a small pilot. The gap between what AI can do in a demo and what it does inside real work is the subject of this book. The Real AI ignores the two conversations that dominate the headlines: the frontier labs racing toward ever-larger models and the debate over whether AI will deliver abundance or catastrophe. Instead, Mark DeSantis and Anand S. Rao turn to the operational middle ground, where AI either earns its place in a workflow or quietly fails.

Drawing on cases from UPS, HSBC, GE, Palantir, India's Aadhaar, and Michigan's MiDAS unemployment system, along with thirteen interviews with the people who build, buy, fund, govern, and clean up after AI, they show that models are the easy part. What matters is the infrastructure around them: learning loops, trust management, organizational absorption, and the accumulation of what the authors call cognitive capital, the durable store of experience that lets a system get better with use rather than decay. Organizations that build cognitive capital improve faster than those that do not, and that learning advantage is what the book shows leaders how to create.

The book moves in three parts. Building the Real AI explains how working systems are engineered, why expertise alone is not enough, and why failure, risk, and harm are three different things. Embedding the Real AI examines how adoption unfolds in regulated industries, operations-driven businesses, the public sector, and capital markets, each with its own judge. Shaping the Real AI turns to geopolitics, national security, designing for difference, and global governance. For executives, founders, and policymakers, this is a field guide to making AI real in the work you do, the organizations you lead, and the society you shape.

Zielgruppe

Professional Practice & Development

Autoren/Hrsg.

Rao, Anand S.

DeSantis, Mark

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Management Unternehmensorganisation & Entwicklungsstrategien
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmenskommunikation
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensorganisation, Corporate Responsibility Unternehmensethik
• Wirtschaftswissenschaften Betriebswirtschaft Management Unternehmensführung
• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Medien-, Informations und Kommunikationswirtschaft Informationstechnik, IT-Industrie
• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Wirtschaftssektoren & Branchen: Allgemeines
• Wirtschaftswissenschaften Betriebswirtschaft Management Unternehmensgründung
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Management: Führung & Motivation
• Wirtschaftswissenschaften Volkswirtschaftslehre Internationale Wirtschaft

Inhaltsverzeichnis

Part 1: Building the Real AI 1. The Real AI Is Not Just a Tool 2. Learning Loops: The Quiet Engine of Real AI 3. AI Systems: From Idea to Implementation 4. How AI Gets Engineered: From Craft to Factory 5. The Expertise Bottleneck: Why Codified Knowledge Isn’t Enough 6. From Expertise to Experience: How Cognitive Capital Accumulates in Working AI Systems 7. Failure, Risk, and Harm: Why Measuring One Is Not Enough to Know the Others 8. Trust Management: Why Trust Must Be Earned, and Not Claimed Part 2: Embedding the Real AI 9. AI in High-Compliance Industries: Where Regulation Sets the Pace 10. AI in Operations-Driven Industries: Where the Operation Gets the Final Vote 11. AI in the Public Sector: Where the Win Is Invisible and the Failure Goes to Court 12. AI Through an Investor Lens: Where the Money Decides What Is Real Part 3: Shaping the Real AI 13. The Geopolitics of AI: Competing for the Future 14. AI in National Security: Capability Against Control 15. Designing for Difference: The Floor and the Edge 16. Global AI Governance: Ready Before the Rule Is Written 17. The Real Work of Working AI

Über Autor(innen)

Anand S. Rao is Distinguished Service Professor of Applied Data Science and AI at Carnegie Mellon University’s Heinz College, where he teaches in the Chief Data and AI Officer program, the Data-Driven Leadership program for officers, and four master’s programs. He was previously Global Artificial Intelligence Leader at PwC and Chief Research Scientist at the Australian Artificial Intelligence Institute. He has published more than 100 papers and holds a PhD in artificial intelligence from the University of Sydney and an MBA from Melbourne Business School.

Mark DeSantis is CEO and cofounder of Musing AI and has built and sold several AI companies. Earlier in his career, he directed government relations for Texas Instruments and held policy positions in the White House Office of Science and Technology Policy under President George H. W. Bush. He is an adjunct professor of entrepreneurship at Carnegie Mellon University and holds a PhD in public policy from George Mason University and a DBA from Temple University.