2.2. Challenges and Business Opportunities

💡 First Principle: Every technology comes with trade-offs. Generative AI's challenges—fabrications, reliability concerns, and potential bias—aren't reasons to avoid it, but factors to manage. Understanding these challenges helps you implement AI responsibly and set appropriate expectations with stakeholders.

What happens when you ignore these challenges? Organizations deploy AI without guardrails, users trust AI output without verification, and when something goes wrong—a fabricated fact in a customer communication, a biased recommendation, an unreliable system—the damage to reputation and trust is severe. The exam tests whether you understand these risks and can recommend appropriate mitigations.

Consider a healthcare organization that deploys an AI assistant without understanding fabrication risks. A patient asks about drug interactions, and the AI confidently states something incorrect. The consequences could be severe. Understanding the challenge enables the mitigation: human oversight for medical advice, grounding on verified medical databases, clear disclaimers about AI limitations.