Michael Parent's piece critiques the integration of AI in design, emphasizing the risks of prioritizing cleverness over clarity. He argues that automation can excel in specific tasks but often collapses outside narrow performance windows. As AI systems become more complex, they undermine human-centered design principles. Users struggle to form mental models because the decision-making processes of AI are opaque. Parent stresses that AI should restore visibility through clear communication about decisions, confidence levels, and the boundaries of its competence. He outlines key design principles for deploying AI in complex systems. First, retain human oversight in critical decisions and ensure operators maintain their skills. Second, demand transparency from AI, including understanding decision factors and confidence levels. Third, set clear boundaries for AI's use, particularly in high-stakes situations, where human authority is paramount. Parent also insists on planning for failure; systems should degrade gracefully rather than fail catastrophically. Finally, accountability must remain human. Regular reviews and ethical guidelines are necessary to ensure that decisions made by AI are not shrouded in algorithmic mystery. The article references James Reason's 1990 warning about the dangers of technology, highlighting that the greatest risks often arise from cumulative human errors within organizations. This insight rings true today as we navigate a landscape increasingly influenced by AI, where the potential for mismanagement and misunderstanding is heightened. Overall, Parent's arguments push for a balanced approach to AI in design, demanding clarity, accountability, and human involvement.