Decision Network Analyst

Analysing the AI Decision Point Before Automating It
1. Auflage 2027
ISBN: 978-1-041-45512-7
Verlag: Taylor & Francis

Buch, Englisch, 104 Seiten, Format (B × H): 138 mm x 216 mm

When AI agents replace human personnel and make independent decisions, their utilisation becomes not only a technical issue but also a governance issue. By making decisions on behalf of an organisation, AI agents have delegated authority. A central point of The Decision Network Analyst is that a system cannot be held accountable for a poor decision made by an AI agent. Ultimately a person or group will be held accountable, and this is potentially an organization’s board of directors.

This book is for the people who must act on that point: the business analysts, risk and governance professionals and transformation leads, who are asked to put agents into workflows and find that the usual process-mapping toolkit stops at the decision itself. Directors and executives will find the book useful for a different reason: it shows what good analysis of a decision point looks like, so they can ask for it. It defines a role of the Decision Analyst, whose work is to examine a decision point before an AI agent is deployed in it, and a second role, the Decision Network Architect, who oversees the network of agents across the organisation and keep the record of what has been delegated to them.

Guiding how to deploy AI agents responsibly in critical decision points, the book helps analysts scrutinize AI agent configurations prior to implementation, thereby reducing potential risks and cost overruns. It also discusses how network architects can advise management on the strategic deployment of agent networks so that the agents best achieve a firm’s goals and objectives.

Zielgruppe

Professional Practice & Development and Professional Reference

Autoren/Hrsg.

Timbrell, Greg

Stewart, Scott

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Wirtschaftswissenschaften Betriebswirtschaft Management Wissensmanagement
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik

Inhaltsverzeichnis

1. The Making of a Decision Analyst 2. Decision Inputs 3. Accountability 4. Outputs and Risk 5. Escalation, Human Judgement and Costs 6. Security 7. Auditability and Reversibility 8. The Decision Requirements Document 9. Decision Governance

Über Autor(innen)

After holding senior roles in international technology consulting firms and government, specialising in enterprise systems, Greg Timbrell, Ph.D. joined the university sector. He continued his consulting practice while at university. His research interests continued around enterprise systems and extended to knowledge management, consulting and digital strategy. His doctoral and master students were predominantly senior technology executives. He has presented his research and trained senior technology consultants all over the world. After leaving the university, but not the sector, he became an Academic Governance Consultant, chairing Academic Boards and reviewing technology, AI and business courses.

Scott Stewart leads AI strategy and governance at a large Australian city council. He is a senior enterprise transformation and commercial leader with more than twenty years' experience delivering complex change across financial services and government and has served as both a Chief Information Officer and a Chief Procurement Officer. His work now centres on how organisations govern the decisions they delegate to AI.