Speaking with Christopher Law, DOL

What should leaders allow AI to decide?

Help your audience examine the authority they give AI and what accountability requires of the people leading it.

Research-grounded conversations for leaders in financial services, HR, operations, and governance, with practical questions they can bring back to their teams.

Keynotes · Workshops · Panels · Interviews

Authentic Intelligence: A Leader’s Guide to Ethical AI by Dr. Christopher Law — From the author of Authentic IntelligenceForthcoming January 2027

Session topics

Questions your audience can put to work.

Start with the challenge your audience faces. These two topics offer a way into the conversation.

Accountable for the AI Decisions We Never See

For executives and leaders in HR, operations, risk, and governance

A manager reviews the top ten applicants. A service team works through a prioritized complaint queue. In both cases, AI may determine who receives attention before a person approves an outcome. This session examines where decision support becomes decision authority and what leaders need to make human review meaningful.

Participants will learn to

Identify where rankings, filters, and handoffs shape consequential decisions.
Test whether reviewers can see missing information and challenge the result.
Name who can correct an outcome, respond to affected people, or stop the process.

What Should We Let AI Decide?

For business leaders and teams evaluating or adopting AI

Scheduling an interview is different from deciding who gets one. Using the research-grounded Authentic Intelligence Model, this session starts with a specific decision and examines whether AI belongs in it, what authority it should receive, and what the organization owes the people affected. Participants work through questions they can bring to their next AI review.

Participants will learn to

Distinguish administrative assistance from decision support and automation.
Evaluate a proposed use through Rights, Reasons, and Results.
Define a justified next step, including conditions, a narrower use, or a decision to decline.

About the speaker

Christopher Law, DOL

Based in Columbia, South Carolina

Chris Law is the author of the forthcoming Authentic Intelligence: A Leader’s Guide to Ethical AI. His doctoral research at Muskingum University examined ethical AI use in financial-services hiring and developed the Authentic Intelligence Model.

He serves as Head of Lifecycle Marketing at Happy Money, with earlier leadership roles in fintech and digital banking. His independent work connects that experience to a practical question: what should leaders allow AI to decide? He holds a doctorate in organizational leadership.

Speaking draws on Chris’s independent research and book. Views expressed are his own and do not represent Happy Money.

More about Christopher

Continue the conversation

Useful after the session, too.

Your audience can explore the free AIM resources and experimental Ask Authentic Intelligence companion. The tools help people work through decisions and develop questions for their own teams.

Start a conversation

What would be useful for your audience?

Share your event and the leadership questions you want to explore. We can discuss the topic and format that fit.

Prefer email? christopher@authenticintelligencebook.com