Eye On A.I.

Craig S. Smith

craig@eye-on.ai

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Booking Overview

Eye on A.I. features Craig S. Smith speaking with builders, researchers, and leaders shaping real-world artificial intelligence and the policy-level implications of rapid progress. It’s a strong fit for PR teams seeking credible, technically grounded coverage rather than hype—especially guests who can connect AI advances to measurable outcomes and broader societal impact.

Metrics

Episodes: 361

Frequency: Biweekly

Rating: 4.8/5.0

Estimated listeners: 1k-10k

Gender skew: Male

Location: USA

YouTube: 33.4k subscribers

Instagram: 1.2k followers

Contact Information

craig@eye-on.ai

For verified host and producer emails, sign up to view.

Host

Craig S. Smith - Longtime New York Times correspondent. Hosts Eye on A.I., talking with people making a difference in artificial intelligence and placing incremental advances into broader global context.

Booking Intelligence

Booking Requirements

medium
Typical Credentials:  
Leaders and credible experts in AI development/deployment—e.g., founders/CEOs/CTOs of AI-focused companies, senior researchers, and recognized university scholars/philosophers whose work informs AI’s broader implications.
Required Achievements:  
Leadership roles in AI organizations (e.g., founder/CEO/CTO), Published research and/or thought leadership in relevant domains (e.g., philosophy of mind), Demonstrated real-world AI applications with measurable results (e.g., clinical or enterprise deployment outcomes), Authorship of reports/surveys informing enterprise AI best practices

Recent Guest Discussions

Vin Singh - AI For Drug Discovery/clinical Trial Success; Causal Analysis For Disease Pathways; Ranking Drug Targets; Case Studies In Neuroscience And Pancreatic Cancer Trials

Alberto Pan - Failure Modes Of Enterprise AI Agents; Data Staleness/context/semantics; AI Data Architectures; Logical Data Management And Governance Across Sources; Scaling Traps In Multi-agent Setups

Philip Goff - The Philosophical Question Of Consciousness; Modern Science And The Mind-body Problem; Skepticism About LLM Consciousness; Evolutionary And Experimental Questions

Recent Topics

Artificial Intelligence, Machine Learning, Data Governance, Pharma, Semantics

Episodes

Here's the recent few episodes on
Eye On A.I.
:

Big Pharma Fails 50% of the Time in Phase Three. AI Can Fix That | Vin Singh, BullFrog AI

July 05, 2026

It costs up to $2 billion and fifteen years to develop a drug, and big pharma still fails half the time at the final stage. BullFrog AI founder, Chairman, and CEO Vin Singh joins Craig Smith with a clear diagnosis of why: the industry keeps picking the wrong drug target from the beginning, and no amount of downstream optimization fixes a fundamentally wrong starting point. Built on AI technology originally developed at Johns Hopkins' Applied Physics Lab, BullFrog has assembled a three-stage p...

AI Agents Are Failing and It's Almost Never the Model's Fault | Alberto Pan, Denodo

July 02, 2026

After two years of AI pilots, enterprises are finally diagnosing what went wrong, and the answer keeps coming back to data. Alberto Pan, CTO of Denodo, joins Craig Smith to walk through the findings of the company's AI Trust Gap Report: a survey of 850 enterprise data leaders that reveals the dominant failure modes of enterprise AI agents are almost never the model's fault. They're caused by stale data, missing context, and inconsistent semantics across the hundreds of data sources agents nee...

How Modern Science Got Consciousness Wrong From the Start | Philip Goff

June 29, 2026

What if consciousness isn't a byproduct of complex brains, but a fundamental feature of reality itself, present, in some rudimentary form, all the way down to electrons and quarks? Philip Goff, a philosopher at Durham University and one of panpsychism's leading contemporary advocates, joins Craig Smith to make that case, arguing that modern science's founding move - separating the mathematical world physics studies from the subjective experience we know only from the inside - solved one probl...

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