Trust Is Becoming Something Companies Have to Engineer | What I'm Seeing OVM | Episode 7
What happens to trust when more and more decisions are mediated by technology?
Can we still rely on individual expertise and reputation when AI, automated workflows, and increasingly complex systems are shaping how organizations make decisions?
In this episode, Olga V. Mack explores why trust may need to become something organizations design into their systems rather than simply assume.
The conversation examines trust through:
• AI contracts
• Contract risk allocation
• Litigation workflows
• AI-enabled legal tools
• Human judgment
• AI governance
• Legal leadership
• Decision rights
• Evidence and visibility
• Escalation mechanisms
• Organizational accountability
• The evolving role of the CLO
As AI becomes more capable, organizations need more than assurances that systems are behaving responsibly. They need to understand what can be verified, who has authority, where decisions happen, what evidence exists, and where humans can intervene.
The goal isn't to eliminate human judgment. It's to design systems that support it and preserve the experiences through which people develop expertise and judgment.
Trust is designed, not assumed.
And as machines become part of more consequential decisions, the bigger question may not be whether we can trust the machine.
It's whether we've designed an organization that deserves to be trusted when machines are part of how we make decisions.
Read the full article:
https://papers.ssrn.com/sol3/papers.c...
Connect with Olga V. Mack:
/ olgavmack
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