Building Trust in AI: Insights from a Master Negotiator
Last night, I had the privilege of meeting Scott Walker at an 1 Club event, one of the world’s most experienced kidnap-for-ransom negotiators and the author of Order Out of Chaos.
As a product manager, I frequently negotiate with various stakeholders, and Scott’s insights resonated deeply with me. One key takeaway was the importance of seeking mutual ground rather than trying to win — striving for a true win-win situation.
Building trust is essential in this process and is particularly critical in the field of AI product development and AI as a service. Deploying AI and integrating this technology into existing business models demands a significant level of trust, which must be earned.
Here are a few strategies to build trust in AI product development:
Transparency: Clearly communicate how AI algorithms work and make decisions.
1. Transparency: Clearly communicate how AI algorithms work and make decisions
2. Ethical Standards: Ensure AI systems are designed and used ethically.
2. Human in the loop: Actively seek and incorporate feedback from human to improve trustworthiness.
That’s why I am proud to advise AI DIONIC, a company dedicated to providing Trustworthy and Responsible AI solutions.
How do you build trust in your professional relationships? Let’s share our strategies and learn from each other!
