Executive education · Speaking · Advisory

Helping leaders think clearly about artificial intelligence.

Understand what AI can do. Understand what it can't. Decide what humans should do with it.

Executive education, speaking, and advisory work on AI, judgment, expertise, responsibility, and the limits of machine intelligence.

ActiveMind thinking figure

Three questions at the center of this work

I.

What can AI actually do?

A technically grounded understanding of contemporary AI, without the hype.

II.

When should we trust it?

Reliability, error, evidence, fluency, knowledge, and appropriate reliance.

III.

What should humans continue to decide?

Judgment, responsibility, oversight, expertise, and delegation.

Signature programs

Three conversations, tailored to your organization.

All program details

Flagship program

AI and Judgment

What Should We Delegate to Machines?

When should AI advise, and when should it decide? What does meaningful human oversight require? This seminar examines where human judgment remains indispensable — and how to design for it.

Format
90-minute seminar or half-day workshop
For
Executive teams, boards, managers, professional organizations
About this program

The Limits of AI

What Every Leader Should Know

What contemporary AI does remarkably well, where it remains unreliable, why convincing output can mislead, and how to evaluate claims about emerging capabilities.

Format
Keynote or executive briefing
For
Leadership teams, conferences
About this program

AI Without the Hype

What Every Professional Should Understand

Not prompt tricks or software tutorials. How generative AI works, why it fails, what it is good at, how to evaluate its output, and when reliance becomes dangerous.

Format
Workshop or multi-session program
For
Professional staff, colleges, associations
About this program

In practice

Questions organizations are already facing.

Abstract questions about knowledge and responsibility now arrive as policy decisions, review processes, and hiring plans. These are the conversations I help leaders work through.

  1. 01Should employees be required to disclose AI use?
  2. 02When should AI recommendations require human review?
  3. 03How much error is acceptable before AI should not be used?
  4. 04What does meaningful human oversight actually require?
  5. 05How do professionals preserve expertise when AI performs more of their work?
  6. 06Who is responsible when someone follows a bad AI recommendation?
  7. 07What decisions should never be delegated?
Dr K Darcy Otto
Dr K Darcy Otto Founder, ActiveMind.ai

Why work with me

Old questions, suddenly practical.

What is understanding? What counts as knowledge? What should we trust, and what should machines decide? I spent two decades on these questions as a philosopher before moving deeply into computer science and AI. Contemporary AI has turned them into decisions organizations make every week.

Computer Science + Philosophy

Technical expertise joined to roughly twenty years of work in logic, metaphysics, knowledge, and reasoning.

AI Education

Teaching artificial intelligence, computer science, and AI ethics — and building interdisciplinary AI programs.

Research and Writing

Research on the foundations and limits of computation and artificial intelligence.

Teaching Complex Ideas Clearly

Translating difficult technical and philosophical problems into serious, accessible discussion for professionals and public audiences.

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Writing & ideas

Thinking in public.

Selected essays, talks, and research on knowledge, reasoning, and the limits of machine intelligence.

Selected essays & talks

All writing

Bring one of these conversations to your organization.

ActiveMind works with executive teams, boards, professional organizations, colleges, and other institutions confronting difficult questions about AI and human judgment.