Public Speaking
The Most Important
Questions in a New Context
While culture a shifting and technology grasps at the future the oldest questions feel urgent again. Questions about knowing what is real and what’s fiction, what makes us uniquely human, and live lives of goodness and unique meaning.​
But the conversation is crowded with noise, fear, hype, and misinformation.
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Drawing on philosophy, neuroscience, technology, and cultural imagination, I help audiences see with clarity, think with creativity, and recover the courage to live meaningfully in a digital age.
Consulting
First Principles for
New Technologies
Vision and Values Alignment
for Creative AI Use and Innovation
Technology is not a mere tool. Technology reshapes your mission, the people you work with and serve and your vision of the good. The most forward-thinking leaders now recognize: AI is not just a technical challenge, but a moral and spiritual one.
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I help organizations and leaders navigate the ethical, cultural, and spiritual impact of developing technologies—especially AI development and use—by aligning technological innovation with enduring wisdom and empirical research.​
Specific Outcomes
Leaders
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Set a mission-first AI strategy that advances human flourishing and trust.
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Stand up lightweight, accountable governance (purpose, principles, decision rights, red lines).
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Shape culture and capability—train teams, protect attention, reward wise use over hype.
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Measure what matters with human-centered KPIs and iterate toward durable value.
Developers
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Start human-first—define the good you want to cause, then build backward.
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Integrity by design—provenance, eval rubrics, uncertainty disclosure, safe defaults.
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Dignity in the interface—protect attention, agency, and relationships with every click.
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Reversible by default—feedback loops, audit trails, and a real off-switch.
Organizations
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Create a clear decision tree to know when AI fits your missions, when it doesn’t, and why.
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Pilot with purpose: scoped, measurable, opt-in, and reversible by design.
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Prefer convivial alternatives when they beat automation on care, quality, or trust.
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Install exit criteria and audits to prevent dependency, drift, and hidden harms.
Why Are Tech Leaders
Calling On Philosophers?
When 60 Minutes asked Google’s CEO Sundar Pichai, who should shape AI, he didn’t say more coders. He said we must “include not just engineers, but social scientists, ethicists, philosophers and so on.”
When pressed about AGI’s implications, CEO of Google DeepMind, Demis Hassabis, put it bluntly: “We need new great philosophers… in the next five, ten years to understand the implications of this.” Inside Google DeepMind, the teams writing about how to build “human values” into AI are explicit: “We draw inspiration from philosophy to… identify principles to guide AI behaviour.”
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See what other tech leaders at Apple, Google, and Microsoft say, and why they’re turning to philosophers for AI’s future, in my short essay below.
