<ul><li>AI failures typically start with small drifts and subtle signals, not error messages.</li><li>AI built to survive is explainable, auditable, and human-readable, able to withstand challenges and be understood by various stakeholders.</li><li>For AI to be truly resilient, it needs to be tested at its limits and prepared for high-stakes decisions, not just for performance but for survival.</li><li>Effective governance is essential for AI systems to thrive in the real world, ensuring continuous monitoring, checks for bias, fairness, and performance decay to prevent dangerous outcomes.</li></ul>

3 Signs Your AI Will Survive the Real World

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