Pensamiento Crítico: La Habilidad Humana que la IA No Puede Reemplazar

Resumen

As artificial intelligence becomes deeply integrated into business operations, the ability to think critically is emerging as one of the most valuable professional skills. While AI can generate recommendations, summarize information, and automate tasks, it cannot replace human judgment, contextual understanding, ethical reasoning, and sound decision making.

This course helps learners understand what is critical thinking, why critical thinking skills remain essential in the AI era, and how to apply structured thinking to make better decisions in complex, fast-changing environments. Through practical frameworks, real-world business scenarios, and hands-on critical thinking exercises, participants will learn how to evaluate AI-generated content, identify bias and misinformation, assess evidence quality, and improve decision outcomes.

Learners will also explore critical thinking examples, higher-order reasoning methods, and structured approaches for managing uncertainty when working with AI tools. Designed for professionals, managers, analysts, and business leaders, this critical thinking course provides practical methods for strengthening judgment and improving human-AI collaboration.

Using tools such as decision journals, premortem analysis, citation audits, red-team reviews, AI Output Trust Scores, and Bias Stack diagnostics, learners will build a repeatable framework for assessing risks, challenging assumptions, and making better-informed decisions. By the end of the course, learners will be able to define critical thinking, explain why critical thinking is important in modern workplaces, apply higher order thinking skills to real business challenges, and confidently combine human judgment with AI-powered insights.

Whether you want to become a critical thinker, strengthen your problem-solving abilities, or master your decision-making skills, this course provides the practical tools needed to succeed in an increasingly AI-driven world.

Programa

• Diagnosticar: Evaluando Resultados de IA y Detectando Sesgos y Errores
Este módulo establece por qué el juicio humano aumenta su valor a medida que la IA se encarga de más ejecución, y equipa a los estudiantes con dos herramientas diagnósticas fundamentales: el "Bias Stack" para diagnosticar sesgos cognitivos, de conjunto de datos y de modelo, y el "AI Output Trust Score" para evaluar cualquier salida generada por IA. Los estudiantes examinarán fallos documentados de IA, incluyendo la IA de contratación de Amazon y Mata v. Avianca, y desarrollarán un hábito de auditoría de citaciones funcional.
• Decidir: Razonamiento Estructurado, Flujos de Trabajo y el Proyecto Final
Este módulo transforma la habilidad diagnóstica en una disciplina de decisión. Los estudiantes aplicarán técnicas premortem, de red-team y de tasa base a decisiones con apoyo de IA, examinarán cuatro flujos de trabajo colaborativos entre humanos e IA, y realizarán una revisión de riesgos de prompts utilizando un fallo documentado de IA en servicio al cliente. El módulo culmina en un Memorándum de Decisión Final y un plan de práctica de treinta días.

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Impartido por

Starweaver

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Materias

Personal Development