The Hidden Risks of AI Securities, Privacy, Ethics, Innovation, and Market Stability : How to Anticipate AI Risks, Protect Investments, and Prevent Disruption from Becoming a Business Hazard
Language: English
Published by Amazon Digital Services LLC - Kdp Sep 2026, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 24.46
Quantity: 2 available
Add to basketItem description from seller
Neuware - The Hidden Risks of AI: Securities, Privacy, Ethics, Innovation addresses the critical gap between rapid enterprise technology adoption and effective risk governance. Unlike traditional IT projects, artificial intelligence introduces layered vulnerabilities-spanning direct operational biases, second-order market manipulations, and systemic contagion. The book establishes a distinct financial market perspective, framing issues like algorithmic trading, deepfakes, and opaque data pipelines not as mere technical glitches, but as severe liabilities capable of erasing corporate valuation and threatening market stability overnight. What sets this work apart is its pragmatic approach to the hidden costs of scaling intelligent systems. The text introduces the concept of 'AI Debt'-compounding risks across governance, data, trust, and physical infrastructure-and demonstrates how 'ethics washing' and unmonitored 'black box' models expose firms to catastrophic regulatory fines and class-action litigation. It moves beyond theoretical debate by offering actionable toolkits, including the 10-Question Privacy Stress Test, the TEVV (Test, Evaluate, Verify, Validate) framework, and stress-testing protocols designed to prepare organizations for cross-border compliance regimes like the EU AI Act, SEC mandates, and global privacy laws. In today's volatile economic landscape, where massive capital expenditures collide with emerging threats like agentic AI, this book provides essential guidance for executives, board members, and business leaders. It emphasizes that human governance, organizational culture, and proactive compliance must act as the primary controls against automation bias and 'workslop'. By translating complex AI vulnerabilities into clear financial, legal, and operational terms, the book proves that mastering AI governance is no longer a restrictive handbrake, but a vital strategic differentiator for long-term enterprise value.…
Seller Inventory # 9798171183172
- Title
- The Hidden Risks of AI Securities, Privacy, Ethics, Innovation, and Market Stability : How to Anticipate AI Risks, Protect Investments, and Prevent Disruption from Becoming a Business Hazard
- Author
- Stephan S Sunn
- Publisher
- Amazon Digital Services LLC - Kdp Sep 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798171183172
- Item weight
- 82 grams
- Dimensions
- 229x152x4 mm
What sets this work apart is its pragmatic approach to the hidden costs of scaling intelligent systems. The text introduces the concept of "AI Debt"—compounding risks across governance, data, trust, and physical infrastructure—and demonstrates how "ethics washing" and unmonitored "black box" models expose firms to catastrophic regulatory fines and class-action litigation. It moves beyond theoretical debate by offering actionable toolkits, including the 10-Question Privacy Stress Test, the TEVV (Test, Evaluate, Verify, Validate) framework, and stress-testing protocols designed to prepare organizations for cross-border compliance regimes like the EU AI Act, SEC mandates, and global privacy laws.
In today’s volatile economic landscape, where massive capital expenditures collide with emerging threats like agentic AI, this book provides essential guidance for executives, board members, and business leaders. It emphasizes that human governance, organizational culture, and proactive compliance must act as the primary controls against automation bias and "workslop". By translating complex AI vulnerabilities into clear financial, legal, and operational terms, the book proves that mastering AI governance is no longer a restrictive handbrake, but a vital strategic differentiator for long-term enterprise value.
"Synopsis" may belong to another edition of this title.
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