Teaching AI Your Bias: Turning Values into Algorithms

Date & Time

Feb. 19, 2026, 1 p.m. - Feb. 19, 2026, 2 p.m.

Cost

$0

Location

Online

Organizer

Redegades

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Description

This session explores how to turn your organization’s DNA—your strategy, culture, and ethics—into a leadership algorithm that scales.

Every great company runs on a bias, its unique way of thinking, deciding, and winning.
But most leaders never take the time to define that bias, let alone teach it to their AI.

This session explores how to turn your organization’s DNA, your strategy, culture, and ethics into a leadership algorithm that scales. Wade Wyant and Jason Baker will show how the most effective CEOs are embedding their business “way of thinking” directly into their custom AI systems, creating alignment between human judgment and machine precision.

 

Because when your AI understands why you make decisions, not just how, it becomes your most powerful leadership ally.

 

What You’ll Learn

  • Bias as a Competitive Advantage: Why your values and decision patterns are your strongest differentiator.
  • Translating Culture into Code: How to configure AI models to mirror your company’s mission, tone, and strategy.
  • The Bias Blueprint: A framework for defining and documenting your leadership logic so your AI reflects it.
  • Aligning AI and Ethics: How to ensure your AI decisions stay consistent with your moral and cultural boundaries.

 

Interactive Experience

Through guided exercises, you’ll identify your organization’s core leadership biases and test how they translate into decision rules AI can understand.
You’ll leave with a practical guide for embedding culture into code and keeping your AI authentically yours.

 

Who Should Attend

  • CEOs and founders building AI-aligned leadership systems
  • Executives responsible for company culture or digital transformation
  • Leaders ready to make AI reflect—not replace—their decision-making DNA

 

Why It Matters:
As Wade Wyant says, “Your bias is your brand. If you don’t teach it to your AI, someone else’s bias will lead your company.”