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Introduction to Responsible AI - Español

Google Cloud Training

Este es un curso introductorio de microaprendizaje destinado a explicar qué es la IA responsable, por qué es importante y cómo la implementa Google en sus productos. También se presentan los 7 principios de la IA de Google.

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Syllabus

Introducción a la IA responsable
Este es un curso introductorio de microaprendizaje destinado a explicar qué es la IA responsable, por qué es importante y cómo la implementa Google en sus productos. También se presentan los 7 principios de la IA de Google.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Este curso aborda un tema complejo y relevante en el campo de la inteligencia artificial
Los principios de IA de Google brindan una base sólida para comprender las prácticas responsables en el desarrollo de IA
El curso es impartido por expertos de Google, lo que garantiza la calidad y la relevancia del contenido
El formato de microaprendizaje es accesible y conveniente para estudiantes ocupados

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Career center

Learners who complete Introduction to Responsible AI - Español will develop knowledge and skills that may be useful to these careers:
Data Scientist
This course offers a comprehensive overview of responsible AI principles, including fairness, transparency, and accountability. These principles are crucial for Data Scientists, who are responsible for developing and deploying AI models. The course also provides insights into Google's approach to responsible AI, which can be beneficial for Data Scientists looking to align their work with industry best practices.
Machine Learning Engineer
Machine Learning Engineers are responsible for designing, developing, and deploying AI models. This course provides a solid foundation in responsible AI principles, which are essential for ensuring that AI models are fair, transparent, and accountable. By understanding these principles, Machine Learning Engineers can create AI solutions that align with ethical and legal considerations.
AI Ethics Researcher
This course offers a comprehensive overview of responsible AI principles and their application to real-world scenarios. AI Ethics Researchers are responsible for developing and evaluating ethical guidelines for AI development and deployment. This course provides insights into the latest research and best practices in AI ethics, which can be valuable for researchers in this field.
AI Policy Analyst
AI Policy Analysts are responsible for developing and evaluating policies related to AI development and deployment. This course provides a solid foundation in responsible AI principles, which are essential for understanding the ethical, legal, and social implications of AI technologies. By understanding these principles, AI Policy Analysts can develop policies that promote the responsible development and use of AI.
AI Compliance Officer
AI Compliance Officers are responsible for ensuring that AI systems comply with ethical and legal standards. This course provides a comprehensive overview of responsible AI principles and their application to real-world scenarios. By understanding these principles, AI Compliance Officers can develop and implement policies and procedures that ensure the responsible development and use of AI.
AI Auditor
AI Auditors are responsible for evaluating AI systems to ensure they are fair, transparent, and accountable. This course provides a solid foundation in responsible AI principles and their application to real-world scenarios. By understanding these principles, AI Auditors can develop and implement audit procedures that assess the responsible development and use of AI.
AI Risk Manager
AI Risk Managers are responsible for identifying and mitigating risks associated with AI development and deployment. This course provides a comprehensive overview of responsible AI principles and their application to real-world scenarios. By understanding these principles, AI Risk Managers can develop and implement risk management strategies that promote the responsible development and use of AI.
AI Project Manager
AI Project Managers are responsible for planning, executing, and delivering AI projects. This course provides a solid foundation in responsible AI principles, which are essential for ensuring that AI projects are aligned with ethical and legal considerations. By understanding these principles, AI Project Managers can lead projects that promote the responsible development and use of AI.
AI Business Analyst
AI Business Analysts are responsible for analyzing business needs and identifying opportunities for AI solutions. This course provides a comprehensive overview of responsible AI principles, which are essential for ensuring that AI solutions are aligned with business objectives and values. By understanding these principles, AI Business Analysts can develop and evaluate AI solutions that promote sustainability, fairness, and transparency.
AI Product Manager
AI Product Managers are responsible for developing and launching AI products. This course provides a comprehensive overview of responsible AI principles, which are essential for ensuring that AI products are safe, ethical, and compliant. By understanding these principles, AI Product Managers can lead the development of AI products that promote the responsible development and use of AI.
AI UX Designer
AI UX Designers are responsible for designing user interfaces for AI products. This course provides a comprehensive overview of responsible AI principles, which are essential for ensuring that AI products are easy to use, accessible, and inclusive. By understanding these principles, AI UX Designers can create user experiences that promote the responsible development and use of AI.
AI Software Engineer
AI Software Engineers are responsible for designing, developing, and testing AI software. This course provides a solid foundation in responsible AI principles, which are essential for ensuring that AI software is safe, reliable, and secure. By understanding these principles, AI Software Engineers can develop software that promotes the responsible development and use of AI.
AI Researcher
AI Researchers are responsible for developing new AI techniques and algorithms. This course provides a comprehensive overview of responsible AI principles, which are essential for ensuring that AI research is conducted in an ethical and responsible manner. By understanding these principles, AI Researchers can develop AI technologies that promote the responsible development and use of AI.
AI Consultant
AI Consultants provide advice and expertise on AI development and deployment. This course provides a comprehensive overview of responsible AI principles, which are essential for ensuring that AI solutions are aligned with ethical and legal considerations. By understanding these principles, AI Consultants can provide guidance to clients on the responsible development and use of AI.
AI Evangelist
AI Evangelists are responsible for promoting the benefits of AI and educating others about its potential. This course provides a comprehensive overview of responsible AI principles, which are essential for ensuring that AI is developed and used in a responsible manner. By understanding these principles, AI Evangelists can effectively communicate the benefits and risks of AI to a wide range of audiences.

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Introduction to Responsible AI - Español.
Este libro aboga por el desarrollo de sistemas de IA centrados en el ser humano. Examina cómo diseñar sistemas de IA que sean justos, equitativos e inclusivos.
Este libro explora los fundamentos filosóficos de la ética de las máquinas. Examina los desafíos de diseñar y operar sistemas de IA que se comporten de manera ética.
Este libro explora las implicaciones a largo plazo de la IA para el futuro de la humanidad. Especula sobre el potencial de la IA para transformar la sociedad, la economía y la naturaleza misma de la conciencia humana.
Este libro ofrece una introducción integral a la IA y el aprendizaje automático para líderes empresariales. Explica conceptos técnicos y proporciona información sobre cómo utilizar la IA para impulsar el crecimiento y la innovación.
Este libro de texto integral proporciona una base sólida en los conceptos fundamentales de la IA. Ofrece una visión general de los algoritmos, técnicas y aplicaciones de aprendizaje automático, lo que proporciona un contexto valioso para la IA responsable.
Este libro ofrece una explicación accesible y no técnica de los conceptos clave de la IA. Proporciona una comprensión fundamental de los fundamentos de la IA responsable.

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