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Smart Questions, Better Decisions: Why AI Literacy Belongs at the Top

  • Writer: Pamela Isom
    Pamela Isom
  • May 16
  • 4 min read

Five people in a meeting around a table with laptops and papers. Green plant wall in background. Atmosphere is professional and collaborative.

In 2025, artificial intelligence will no longer be just another tech buzzword reserved for data scientists and software engineers. It’s something far bigger—and far more human. AI now influences decisions that shape every corner of an organization, from how candidates are hired to how customers are marketed to, and even how companies navigate regulatory scrutiny. The era of treating AI as someone else’s problem—something the IT team will “handle”—is over. We’re standing at a crossroads where leaders who don’t understand the fundamentals of AI risk making decisions that are blind to the technology's risks, blind spots, and opportunities.


The stakes are no longer hypothetical. When an AI system makes a biased hiring decision, delivers flawed medical recommendations, or pushes out misinformation, it’s not just a technical error—it becomes a governance issue, a brand reputation crisis, or even a legal liability. And yet, many boardrooms remain silent on AI, not because the topic isn’t important, but because it feels overwhelming. Here’s the truth: you don’t need to be a coder to be AI literate. You just need to know how to ask the right questions, think critically about what AI can and can’t do, and lead with curiosity instead of fear.


That’s what digital literacy means today. It’s not about learning Python or debugging neural networks. It’s about feeling confident enough to ask: How was this model trained? What data was used? Who might be harmed? And most of all: Can we trust it? When leaders feel empowered to engage with these questions, they don’t just make better decisions—they model a culture of responsible innovation.


If You’d Never Skip Finance Training, Don’t Skip This Either


Let’s call it what it is: AI literacy is the new financial literacy. Once upon a time, board members were expected to “leave the numbers to the accountants.” Then came scandals, collapses, and governance failures that made clear: if you’re in the room, you’re responsible. Today, most directors would never dream of skipping a conversation about risk exposure or reading a balance sheet. The same needs to be true of AI.


This comparison may feel bold, but that’s why it works. It reframes AI as something foundational, not a niche technical skill, but a modern competency for governance and leadership. Just like financial literacy isn’t about becoming a CPA, AI literacy isn’t about turning board members into engineers. It’s about understanding how AI is being used across the business, where the weak spots are, and how to push for transparency and accountability before it’s too late.


In practical terms, that might look like asking whether your marketing department uses generative AI to create content, and what safeguards are in place to prevent misinformation. Or reviewing whether AI tools in HR are screening out diverse talent because of biased training data. These are strategic questions with strategic consequences. The more leaders understand how to have these conversations, the more effective—and resilient—your organization becomes.


The Difference Between Coding and Confidence


One of the biggest misconceptions about AI is that you have to be fluent in machine learning to participate in the conversation. That’s simply not true. There’s a meaningful difference between technical literacy and decision literacy. The former is about building models; the latter is about interpreting their impact, asking smart questions, and spotting red flags before they become full-blown problems.


Leaders don’t need to know how to tune a model’s parameters—but they do need to know whether the model’s outputs are explainable, whether it performs fairly across different user groups, and what data was used to train it. They need to understand how trust, transparency, and accountability are affected by every step in the AI pipeline—not in technical terms, but in practical, human ones. Because at the end of the day, it’s not the AI that will be held responsible. It’s the people who approved its use.


This is where a thoughtful onboarding process can make all the difference. AI briefings designed specifically for executive teams, ongoing support from advisors who speak both business and tech, and regular check-ins on how AI is evolving across the company—all of these are ways to close the gap. But the first step is simple: normalize asking questions. Replace shame with curiosity. And create space for learning without ego.


Learning in Public: A Personal Reflection


There’s something deeply vulnerable about learning a new domain as a senior leader. When you’ve built your career on confidence and expertise, admitting you’re not sure how something works can feel like pulling back the curtain on your authority. But here’s what I’ve found—time and time again, it’s the leaders who admit what they don’t know who ultimately inspire the most trust.


Some directors admit being “intimidated by AI” or worried they’d “ask a stupid question.” Those same directors light up when they realize that understanding AI isn’t about jargon or equations—it’s about clarity, ethics, and being able to lead with integrity in a changing world. There’s a kind of relief that comes from realizing you don’t have to know everything—you just have to stay engaged.


When leaders model that mindset, it trickles down. It creates permission across the organization to ask questions, challenge assumptions, and center people, not just performance metrics, in how AI is used. That’s the kind of culture that doesn’t just adapt to change. It shapes the future on its own terms.


Conclusion: AI Literacy Is Leadership Literacy


The truth is, AI is already shaping your organization. The only question is whether it’s doing so in the open or behind the scenes. Whether decisions are being made with care and foresight, or by default. AI literacy isn’t a luxury skill or an optional seminar. It’s a new kind of fluency, as essential as reading a balance sheet or understanding regulatory risk. And it’s not just about protecting your organization—it’s about leading it, with eyes wide open and questions ready.


The good news? You don’t have to go it alone. The first step isn’t technical—it’s personal. It starts with a willingness to say, This matters. I want to understand. And when you do, you’re not just preparing for the future. You’re shaping it.



At IsAdvice & Consulting, we specialize in helping teams build the confidence and clarity they need to make smart, responsible, and strategic decisions around AI. From customized executive briefings to hands-on governance workshops, we meet you where you are—no jargon, no shame, just real guidance. Let’s future-proof your boardroom together. Reach out today and start the conversation. Your leadership matters more than ever.

 
 
 

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