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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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What's inside
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
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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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Introduction to Responsible AI - Español with these
activities:
Refresher on Machine Learning Fundamentals
Show steps
Strengthen your foundation in machine learning concepts to support your understanding of responsible AI principles.
Browse courses on
Machine Learning
Show steps
-
Review lecture notes or online resources on core machine learning algorithms.
-
Practice implementing simple machine learning models.
-
Test your understanding through practice questions or quizzes.
Review AI principles
Show steps
Start by getting reacquainted with core concepts in artificial intelligence.
Show steps
-
Read through course materials and resources from previous AI courses.
-
Complete practice questions and exercises to test your understanding.
Responsible AI Discussion Group
Show steps
Engage with peers to exchange ideas, discuss real-world applications, and stay informed on current trends in responsible AI.
Browse courses on
AI Ethics
Show steps
-
Form or join a study group or online discussion forum.
-
Participate in regular discussions and share your perspectives.
-
Collaborate on projects or assignments related to responsible AI.
-
Seek and provide support to fellow learners.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Advanced Responsible AI Techniques
Show steps
Expand your knowledge and skills by exploring advanced techniques and best practices in responsible AI.
Browse courses on
Fairness in AI
Show steps
-
Identify reputable sources and online courses on advanced responsible AI topics.
-
Follow the tutorials and complete the exercises.
-
Engage in discussions and ask questions within the learning community.
Exam practice questions
Show steps
Engage in practice questions to test and reinforce your understanding of the principles and applications of responsible AI.
Browse courses on
Responsible AI
Show steps
-
Review the provided study materials and lecture notes.
-
Attempt the practice questions independently.
-
Seek clarification and support from the course instructor or online forums if needed.
AI ethics case study analysis
Show steps
Develop your critical thinking and communication skills by analyzing real-world AI ethics case studies.
Browse courses on
Ethical considerations in AI
Show steps
-
Identify a compelling AI ethics case study.
-
Research and gather relevant information on the case.
-
Analyze the ethical implications and challenges presented.
-
Formulate your own perspectives and recommendations.
-
Create a written or visual presentation of your analysis.
Contribute to OpenAI projects
Show steps
Gain hands-on experience and contribute to the development of open-source AI technologies.
Browse courses on
OpenAI
Show steps
-
Explore OpenAI's open-source projects and identify areas where you can contribute.
-
Familiarize yourself with the project's codebase and documentation.
-
Propose and implement code improvements or new features.
-
Participate in code reviews and discussions within the community.
Refresher on Machine Learning Fundamentals
Show steps
Strengthen your foundation in machine learning concepts to support your understanding of responsible AI principles.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Review lecture notes or online resources on core machine learning algorithms.
- Practice implementing simple machine learning models.
- Test your understanding through practice questions or quizzes.
Review AI principles
Show steps
Start by getting reacquainted with core concepts in artificial intelligence.
Show steps
Show steps
Show steps
- Read through course materials and resources from previous AI courses.
- Complete practice questions and exercises to test your understanding.
Responsible AI Discussion Group
Show steps
Engage with peers to exchange ideas, discuss real-world applications, and stay informed on current trends in responsible AI.
Browse courses on
AI Ethics
Show steps
Show steps
Show steps
- Form or join a study group or online discussion forum.
- Participate in regular discussions and share your perspectives.
- Collaborate on projects or assignments related to responsible AI.
- Seek and provide support to fellow learners.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Advanced Responsible AI Techniques
Show steps
Expand your knowledge and skills by exploring advanced techniques and best practices in responsible AI.
Browse courses on
Fairness in AI
Show steps
Show steps
Show steps
- Identify reputable sources and online courses on advanced responsible AI topics.
- Follow the tutorials and complete the exercises.
- Engage in discussions and ask questions within the learning community.
Exam practice questions
Show steps
Engage in practice questions to test and reinforce your understanding of the principles and applications of responsible AI.
Browse courses on
Responsible AI
Show steps
Show steps
Show steps
- Review the provided study materials and lecture notes.
- Attempt the practice questions independently.
- Seek clarification and support from the course instructor or online forums if needed.
AI ethics case study analysis
Show steps
Develop your critical thinking and communication skills by analyzing real-world AI ethics case studies.
Browse courses on
Ethical considerations in AI
Show steps
Show steps
Show steps
- Identify a compelling AI ethics case study.
- Research and gather relevant information on the case.
- Analyze the ethical implications and challenges presented.
- Formulate your own perspectives and recommendations.
- Create a written or visual presentation of your analysis.
Contribute to OpenAI projects
Show steps
Gain hands-on experience and contribute to the development of open-source AI technologies.
Browse courses on
OpenAI
Show steps
Show steps
Show steps
- Explore OpenAI's open-source projects and identify areas where you can contribute.
- Familiarize yourself with the project's codebase and documentation.
- Propose and implement code improvements or new features.
- Participate in code reviews and discussions within the community.
Career center
Learners who complete Introduction to Responsible AI - Español will develop knowledge and skills
that may be useful to these careers:
Data Scientist
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 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
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 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 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 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 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 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 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 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 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 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 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 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 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.
For more career information including salaries, visit:
OpenCourser.com/course/evn8qz/introduction
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.
Save
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.
Save
Este libro examina los riesgos de seguridad de la IA y ofrece estrategias para mitigarlos. Analiza los desafíos de desarrollar sistemas de IA seguros y robustos.
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.
Save
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.
Save
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.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/evn8qz/introduction
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Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
Español
Good to know
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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