11 Modeling AI adoption barriers for risk management in manufacturing: An ISM-MICMAC approach

Kapitel in diesem Buch

1. Frontmatter I
2. Advances in artificial intelligence risk management V
3. Contents XV
4. Part I: Fundamentals
5. 1 The emerging impact of artificial intelligence 1
6. 2 AI in enterprise security risk management: Threats, benefits, and governance 35
7. 3 Securing the future: Managing cybersecurity risks in the age of artificial intelligence 59
8. 4 Mitigating risks in AI-driven network security: Strategies for ensuring resilience and integrity 77
9. 5 How to architect artificial intelligence systems that put the human in the loop and don’t overpromise 95
10. 6 A structured approach to evaluating AI capabilities for risk-managed implementation and adoption in organizations 109
11. Part II: Applications
12. 7 Deepfake democracy: The rise of AI in the electoral process 125
13. 8 Preserving privacy in healthcare: Implications of artificial intelligence 149
14. 9 Artificial intelligence in accounting 165
15. 10 Autonomous vehicles: Challenges and concerns 187
16. 11 Modeling AI adoption barriers for risk management in manufacturing: An ISM-MICMAC approach 209
17. 12 Artificial intelligence impact on education: Opportunities and risks 233
18. Contributors
19. Index
20. Developments in Managing and Exploiting Risk