Ethical Machines

Reid Blackman

reid@virtueconsultants.com

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Booking Overview

Ethical Machines digs beneath catchy AI-and-ethics headlines to explore how AI systems impact society, trust, and human flourishing. It’s a strong fit for PR teams seeking credible academic and policy voices at the intersection of artificial intelligence, governance, and real-world deployment.

Metrics

Episodes: 97

Frequency: Weekly

Rating: 4.9/5.0

Estimated listeners: 1k-10k

Gender skew: Male

Location: USA

YouTube: 379 subscribers

Instagram: 128 followers

Contact Information

reid@virtueconsultants.com

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

Host

Reid Blackman - A former philosophy professor turned AI ethics advisor to government and business; he emphasizes going deeper than clickbait headlines about technology and ethics.

Booking Intelligence

Booking Requirements

medium
Typical Credentials:  
Academics and research leaders in responsible AI, AI policy, and computing/AI safety; authors whose work addresses AI ethics, regulation, or societal effects
Required Achievements:  
Authored books on AI ethics or societal impact, Directed AI policy/research labs or held senior academic roles, Pioneered AI research or contributed to AI governance thinking

Recent Guest Discussions

Virginia Dignum - AI Paradoxes, Limits Of Computation, Bias Vs Justice, Dangers Of Confusing Data With Reality, Collective Vs Artificial Intelligence, AI Ethics Missing Deeper Social Problems

Jonathan Schaeffer - Why Current AI (llms) Are Architecturally Unreliable, Hallucinations And Bias, Automation Bias, AI Regulation, Data Centers And Environmental Costs, Slowing Down Deployment, Guardrails Before Scaling Toward AGI

Mona Sloane - AI As Social Infrastructure, How Predictive Systems Shape Work And Society, Risks To Deliberation And Agency, Democracy, Power, Regulation, And Differences Between AI Prediction And Human Prediction

Recent Topics

Artificial Intelligence, Artificial Ethics, Ai Regulation, Ai Policy, Machine Learning

Episodes

Here's the recent few episodes on
Ethical Machines
:

Season Finale: AI Paradoxes

July 02, 2026

Here are three paradoxes, according to Virginia Dignum, my guest today: 1. The more capable AI becomes, the more it reveals the richness and complexity of human intelligence. 2. Less bias in AI does not necessarily create more justice. 3. The pursuit of artificial superintelligence may ultimately reveal that humanity's greatest intelligence is collective, not artificial.We discuss the limits of computation, the dangers of confusing data with reality, why AI ethics often misses deeper soci...

LLMs are the Wrong Kind of AI

June 25, 2026

Jonathan Schaeffer thinks we're building AI the wrong way.While large language models have produced remarkable results, he argues that hallucinations, bias, and unreliability aren't bugs that can be fixed—they're consequences of the underlying architecture itself. In his view, LLMs are an important stepping stone, but not the path to the kind of AI we can truly trust.We discuss whether current AI systems are "good enough," automation bias, AI regulation, data centers, envi...

AI is Social Infrastructure

June 18, 2026

My guest, Mona Sloane, author of Predicted: How AI Is Restructuring Social Life, argues that AI has become part of our social infrastructure. Its predictive systems increasingly shape how we work, find information, build relationships, and navigate society.Mona worries that as prediction becomes embedded in more areas of life, we risk becoming less willing to deliberate, challenge assumptions, and shape our own futures. I push back on whether AI really should be understood as infrastructure a...

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