Ethics at Scale: Navigating AI Risk | Reid Blackman | 648

What happens when a philosopher, a pyrotechnics entrepreneur, and a tech ethicist walk into a boardroom? You get Reid Blackman—author of "Ethical Machines", host of a podcast by the same name, and founder of Virtue, a consultancy helping Fortune 500 companies navigate the ethical risks of AI. In this episode of Leveraging Thought Leadership, we explore the collision of ethics, emerging tech, and organizational complexity.

Reid shares his unorthodox journey from selling fireworks out of a Honda to advising top executives on responsible AI. He discusses how AI creeps into organizations like a Trojan horse—through HR, marketing, and internal development—bringing serious ethical challenges with it. Reid explains why frameworks are often oversimplified tools, why every client engagement must be bespoke, and why most companies still don’t know who should own AI risk.

We dive into the business realities of AI risk management, the importance of moving fast in low-risk sectors like CPG, and the surprising reluctance of high-risk industries like healthcare to embrace AI. Reid also outlines how startups and tech-native firms often underestimate the need for ethical oversight, and why that’s a gamble few can afford.

If you want to understand how to future-proof your brand’s reputation in an AI-driven world—or just love a good story about risk-taking, philosophy, and Led Zeppelin-fueled entrepreneurship—this is the episode for you.


Three Key Takeaways:

• AI Risk Is Organizational, Not Just Technical
Ethical AI risk isn’t the sole responsibility of the CIO or tech team—it's a company-wide issue. AI often enters through non-technical departments like HR or marketing, creating reputational and legal risks that leadership must manage proactively.

• Frameworks Are Overrated—Bespoke Solutions Win
Reid challenges the reliance on generic frameworks in thought leadership. Instead, he emphasizes the need for bespoke, agile solutions that are deeply informed by organizational structure, goals, and readiness.

• Reputation Drives Readiness for Ethical AI
Large brands in low-risk sectors (like CPG) are often quicker to adopt ethical AI practices because the reputational stakes are high. In contrast, high-risk sectors (like healthcare) are slower due to the complexity and fear surrounding AI implementation.

If the episode with Reid Blackman sparked your interest in the ethical implications of thought leadership in rapidly evolving fields like AI, then you’ll find a compelling parallel in our conversation with Linda Fisher Thornton. Linda dives into the broader responsibilities of thought leaders to ensure their content is not just smart, but also ethical, inclusive, and meaningful. While Reid examines AI as a fast-moving ethical challenge that demands bespoke, responsible oversight, Linda zooms out to highlight how thought leadership, in any domain, must be built on a foundation of trust, transparency, and long-term value creation. Both episodes challenge leaders to do more than inform—they must lead with conscience and intention. Listen to Linda’s episode to explore how ethics can—and must—be the throughline of every thought leadership strategy.