The People Side of AI: Trust, Governance, and Getting Adoption Right - Episode #134 - Nancy Green

Summary

In this episode of Frontline Innovators, Nancy Green shares expert insights on AI governance, organizational change, and effective technology adoption strategies. Discover how trust, communication, and tailored engagement are key to successful AI implementation in large enterprises.

Key topics

- Difference between utilization and adoption of technology
- Building trust during change initiatives
- Effective communication strategies for large-scale change
- Role of frontline leadership in AI implementation
- Measuring trust and engagement at scale
- Handling resistance and skepticism towards AI
- Designing scalable training and enablement programs
- The importance of governance and responsibility in AI projects

Chapters

00:00 Introduction to AI Governance and Change Management
04:08 Utilization vs. Adoption of Technology
07:19 The Importance of Trust in Change Management
10:00 Building Trust Through Communication
11:53 Engaging Frontline Leadership
14:59 Identifying Change Champions
18:14 Understanding Resistance to Change
20:50 Addressing Anxiety Around Change
23:35 Honesty in Communication During Change
26:29 Incentives and Performance Metrics
28:23 Motivation and Technology Adoption
32:23 Personalization in Change Management
34:26 Supporting Technologically Reluctant Workers
36:20 Minimum Viable Proficiency in Training
37:56 Bite-Sized Learning and Agile Development
40:04 User Involvement in Development
45:06 Addressing AI Concerns and User Fears
48:48 Evolving Job Roles in the Age of AI
52:15 Human Judgment in AI Utilization
56:00 Governance and Responsibility in AI Projects

Resources

Gretchen Rubin's Four Tendencies - https://www.amazon.com/dp/B00K4X7Q4QAI Governance Frameworks - https://www.oecd.org/going-digital/ai/ai-governance/

Guest links

LinkedIn - https://www.linkedin.com/in/nancygreen
Website - https://nancygreen.com