Responsible AI: Applying AI Principles with GC

What's inside

Syllabus

Introducción

En este módulo, aprenderás sobre el impacto de la tecnología de IA y el enfoque de Google para la IA responsable. Además, conocerás los principios de la IA de Google.

El caso empresarial de la IA responsable

En este módulo, aprenderás cómo crear un caso empresarial para la IA responsable, basado en el informe “The Business Case for Ethics by Design” de The Economist Intelligence Unit.

Consideraciones técnicas y problemas éticos de la IA

En este módulo, conocerás los dilemas éticos y cómo las tecnologías emergentes, como la IA generativa, pueden sacar a la luz problemas morales que deben abordarse.

Creación de los principios de la IA

En este módulo, aprenderás cómo se desarrollaron los principios de la IA de Google y explorarás los objetivos éticos de cada uno de estos principios.

Cómo poner en práctica los principios de la IA: Configura y ejecuta revisiones

En este módulo conocerás la aplicación práctica de la IA responsable y cómo poner en funcionamiento los principios de la IA configurando y ejecutando revisiones.

Cómo poner en práctica los principios de la IA: Detección de problemas y lecciones aprendidas

En este módulo, aprenderás sobre el proceso de identificación de posibles problemas éticos y la definición de preguntas para detectar problemas y pensar críticamente sobre las posibles ventajas y desventajas de un caso de uso.

Continuación del recorrido hacia la IA responsable

En este módulo, conocerás los próximos pasos y los recursos que puedes usar para continuar con tu recorrido hacia la IA responsable.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops key concepts and frameworks for understanding and implementing responsible AI

Taught by Google Cloud Training, recognized experts in the field of responsible AI

Provides practical guidance on how to apply responsible AI principles to real-world projects

Covers the ethical considerations and challenges of AI development, a critical area of concern in the industry

Could be particularly valuable for professionals in the field of AI, data science, or machine learning who are seeking to enhance their understanding of responsible AI practices

May require prior knowledge in artificial intelligence and machine learning

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 Responsible AI: Applying AI Principles with GC - Español with these activities:

Review Key Concepts in AI

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Strengthen your understanding of core AI concepts and principles to enhance your ability to apply AI ethics effectively.

Browse courses on Artificial Intelligence

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Review lecture notes or textbooks on AI
Take practice quizzes or online assessments
Participate in online forums or discussion groups
Attend refresher workshops or tutorials

Practice Identifying Ethical Considerations in AI Projects

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Enhance your ability to recognize and address ethical concerns by completing drills and exercises that simulate real-world scenarios.

Browse courses on AI Ethics

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Identify reputable sources for AI ethics case studies
Analyze case studies and identify ethical considerations
Discuss your findings with peers or mentors
Develop strategies for mitigating ethical risks
Reflect on your learnings and identify areas for improvement

Attend a Conference on AI Ethics

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Engage with the AI ethics community by attending conferences, listening to expert speakers, and participating in discussions.

Browse courses on AI Ethics

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Research and identify relevant conferences
Register and prepare for the conference
Attend keynote speeches and presentations
Participate in breakout sessions and workshops
Network with AI professionals and academics

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Follow Guided Tutorials on AI Responsibility

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Deepen your understanding of responsible AI practices by following step-by-step tutorials provided by industry leaders.

Browse courses on AI Ethics

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Identify reputable sources for AI ethics tutorials
Select tutorials based on your knowledge level and interests
Complete the tutorials and take notes
Experiment with the techniques and tools introduced
Share your learnings and insights

Mentor Students on AI Ethics

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Share your knowledge and insights by mentoring students who are exploring the field of AI ethics and responsible development.

Browse courses on AI Ethics

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Identify opportunities to connect with students
Offer guidance and support on AI ethics principles
Provide feedback and encouragement
Encourage students to explore and present ethical concerns
Stay informed about current trends and developments

Attend an AI Ethics Workshop

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Immerse yourself in ethical considerations and best practices for AI development through hands-on exercises and discussions with industry experts.

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Research and identify relevant workshops
Register and prepare for the workshop
Actively participate in discussions and exercises
Take notes and document key takeaways
Connect with professionals in the field

Develop an AI Ethics Case Study

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Demonstrate your understanding and critical thinking skills by creating a detailed case study that examines ethical implications and solutions for an AI application.

Browse courses on AI Ethics

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Identify a real-world scenario or relevant industry
Research ethical considerations and best practices
Develop a hypothetical AI solution
Analyze the potential ethical implications
Propose recommendations and mitigation strategies

Create an AI Ethics Policy

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Develop a comprehensive AI ethics policy that outlines ethical principles, guidelines, and procedures for your organization or a specific AI project.

Browse courses on AI Ethics

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Review existing AI ethics frameworks and industry standards
Consult with stakeholders to gather input and perspectives
Draft an AI ethics policy document
Seek feedback and refine the policy
Implement and communicate the policy

Career center

Learners who complete Responsible AI: Applying AI Principles with GC - Español will develop knowledge and skills that may be useful to these careers:

AI Engineer

AI Engineers develop and deploy AI-powered applications. Responsible AI can help AI Engineers build applications that are fair, unbiased, and transparent. This course provides a comprehensive understanding of Responsible AI principles and their application in AI development.

See salaries and explore the career path for AI Engineer

Machine Learning Engineer

Machine Learning Engineers design, build, and maintain machine learning systems. Responsible AI can help Machine Learning Engineers develop systems that are fair, unbiased, and robust. This course provides practical guidance on implementing Responsible AI principles in machine learning systems.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist Manager

Data Scientist Managers lead teams of Data Scientists and are responsible for the overall success of their projects. Responsible AI can help Data Scientist Managers develop and manage teams that are committed to developing and deploying AI systems that are fair, unbiased, and transparent. This course provides a framework for understanding Responsible AI principles and their application in team leadership.

See salaries and explore the career path for Data Scientist Manager

Data Scientist

Data Scientists build and deploy machine learning models to solve business problems. Responsible AI can help Data Scientists develop models that are fair, unbiased, and transparent. This course provides a comprehensive overview of Responsible AI principles and their application in the data science lifecycle.

See salaries and explore the career path for Data Scientist

Data Governance Professional

Data Governance Professionals develop and implement policies and procedures to ensure that an organization's data is managed in a consistent and compliant manner. Responsible AI can help Data Governance Professionals develop and implement data governance policies and procedures that align with AI ethics principles. This course provides a foundation in Responsible AI principles and their application in data governance.

See salaries and explore the career path for Data Governance Professional

Data Analyst

Data Analysts gather, clean, and analyze data to extract meaningful insights. Responsible AI can help Data Analysts develop fair and unbiased data pipelines and models, which can lead to more accurate and reliable results. This course provides a foundation in Responsible AI principles and best practices, which can be applied to data analysis workflows.

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Compliance Officer

Compliance Officers ensure that an organization complies with applicable laws and regulations. Responsible AI can help Compliance Officers develop and implement compliance policies and procedures that align with AI ethics principles. This course provides a foundation in Responsible AI principles and their application in compliance.

See salaries and explore the career path for Compliance Officer

Data Protection Officer

Data Protection Officers are responsible for protecting an organization's data from unauthorized access, use, or disclosure. Responsible AI can help Data Protection Officers develop and implement data protection policies and procedures that align with AI ethics principles. This course provides a foundation in Responsible AI principles and their application in data protection.

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Technology Consultant

Technology Consultants advise clients on how to use technology to solve business problems. Responsible AI can help Technology Consultants provide clients with guidance on how to develop and deploy AI systems that are fair, unbiased, and transparent. This course provides a comprehensive understanding of Responsible AI principles and their application in technology consulting.

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Software Engineer

Software Engineers design, develop, and maintain software applications. Responsible AI can help Software Engineers develop applications that are fair, unbiased, and transparent. This course provides a foundation in Responsible AI principles and their application in software development.

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Risk Manager

Risk Managers identify, assess, and mitigate risks to an organization. Responsible AI can help Risk Managers identify and mitigate the risks associated with AI systems. This course provides a framework for understanding Responsible AI principles and their application in risk management.

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Auditor

Auditors examine an organization's financial and operational records to ensure accuracy and compliance. Responsible AI can help Auditors identify and assess the risks associated with AI systems. This course provides a framework for understanding Responsible AI principles and their application in auditing.

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Product Manager

Product Managers define and manage the development of software products. Responsible AI can help Product Managers develop products that are fair, unbiased, and user-friendly. This course provides a framework for understanding Responsible AI principles and their application in product development.

See salaries and explore the career path for Product Manager

User Experience Designer

User Experience Designers design and evaluate user interfaces. Responsible AI can help User Experience Designers create interfaces that are inclusive, accessible, and user-friendly. This course provides an overview of Responsible AI principles and their application in user experience design.

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Policy Analyst

Policy Analysts develop and evaluate public policies. Responsible AI can help Policy Analysts develop policies that promote the ethical development and use of AI. This course provides a comprehensive overview of Responsible AI principles and their application in policymaking.

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