Responsible AI: Applying AI Principles with GC

What's inside

Syllabus

Introduction

Dans ce module, vous découvrirez l'impact de la technologie d'IA, l'approche de Google pour une IA responsable, ainsi que les principes de Google concernant l'IA.

Intérêt de l'IA responsable pour les entreprises

Dans ce module, vous découvrirez comment établir un dossier présentant tous les avantages de l'IA responsable en vous appuyant sur le rapport "The Business Case for Ethics by Design" publié par The Economist Intelligence Unit.

Considérations techniques et questions éthiques liées à l'IA

Ce module aborde les problèmes éthiques et vous permet de comprendre comment les technologies émergentes telles que l'IA générative peuvent soulever des questions éthiques nécessitant une attention particulière.

Élaboration des principes concernant l'IA

Dans ce module, vous découvrirez comment les principes de Google concernant l'IA ont été développés, ainsi que leurs objectifs éthiques.

Opérationnalisation des principes concernant l'IA : organiser et réaliser des examens

Dans ce module, vous allez découvrir comment appliquer concrètement l'IA responsable et comment opérationnaliser les principes la concernant en organisant et en réalisant des examens.

Opérationnalisation des principes concernant l'IA : repérage des problèmes et enseignements tirés

Dans ce module, nous allons nous intéresser au processus d'identification des problèmes éthiques potentiels et identifier les méthodes de repérage de problèmes afin de réfléchir de manière critique aux bénéfices et préjudices possibles d'un cas d'utilisation.

Progresser vers l'IA responsable

Dans ce module, vous allez découvrir les étapes à suivre et les ressources à utiliser pour progresser vers l'IA responsable.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Covers the ethical considerations of AI and ML, which is essential for anyone working in the field

Provides real-world examples and case studies to illustrate the application of responsible AI principles

Focuses on the operationalization of AI, which is critical for organizations looking to implement responsible AI practices

Led by Google Cloud Training, which has a wealth of expertise in responsible AI and cloud computing

May require some prior knowledge of AI and ML concepts

Taught entirely online, which may not be suitable for all learners

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 - Français with these activities:

Review the principles of ethical AI development

Show steps

Refreshing your knowledge of the principles of ethical AI development will help you prepare for the course and engage with the material more effectively.

Browse courses on AI Ethics

Show steps

Review course materials and resources on AI ethics.
Attend workshops or webinars on ethical AI practices.
Engage in discussions or online forums on AI ethics.

Write a blog post on a specific ethical issue in AI

Show steps

Writing a blog post on an ethical issue in AI will help you consolidate your understanding and articulate your thoughts on a specific aspect of AI ethics.

Browse courses on AI Ethics

Show steps

Choose a specific ethical issue related to AI that you want to focus on.
Research and gather relevant information on the topic.
Develop an outline and write your blog post.
Proofread and publish your blog post on a relevant platform.

Develop a business case for AI ethics

Show steps

Creating a business case for AI ethics will allow you to demonstrate the potential benefits and value of ethical AI practices within an organizational context.

Browse courses on AI Ethics

Show steps

Research and gather data on the impact of AI on organizations.
Identify and analyze specific ethical concerns related to AI use.
Develop a framework for assessing and mitigating ethical risks in AI projects.
Create a presentation or report that outlines your findings and recommendations.

Three other activities

Expand to see all activities and additional details

Show all six activities

Practice applying ethical principles to AI scenarios

Show steps

Practicing applying ethical principles to AI scenarios will enhance your ability to identify and address ethical dilemmas in AI development and implementation.

Browse courses on AI Ethics

Show steps

Identify different ethical principles and their relevance to AI.
Review case studies or hypothetical scenarios involving AI ethics.
Analyze the scenarios and apply the ethical principles to make informed decisions.

Develop an AI ethics policy framework for an organization

Show steps

By creating an AI ethics policy framework, you will demonstrate a deep understanding of ethical considerations in AI and how to develop practical guidelines for organizations.

Browse courses on AI Governance

Show steps

Review existing AI ethics frameworks and guidelines.
Identify the key ethical principles and values relevant to the organization.
Develop a set of policies and procedures that address ethical concerns and risks.
Create a document that outlines the AI ethics policy framework and its implementation plan.

Contribute to an open-source project related to AI ethics

Show steps

Contributing to an open-source project related to AI ethics will allow you to engage with the community, learn from others, and gain practical experience in applying ethical principles to AI development.

Browse courses on AI Ethics

Show steps

Research and identify open-source projects focused on AI ethics.
Review the project's documentation and contribute to discussions or issue tracking.
Propose and develop code or documentation improvements related to AI ethics.

Career center

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

Data Scientist

Data Scientists help build artificial intelligence (AI) models. They apply mathematical and statistical techniques to data to build and maintain data models that can be used to solve business problems. This course can help prepare you for a career as a Data Scientist by teaching you the principles of AI and machine learning. You will also learn how to build and deploy AI models on the Google Cloud Platform.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers develop and deploy machine learning models. They work with data scientists and other engineers to build and maintain machine learning systems. Responsible AI: Applying AI Principles with Google Cloud can help you prepare for a career as a Machine Learning Engineer by teaching you the principles of AI and machine learning. You will also learn how to build and deploy AI models on the Google Cloud Platform.

See salaries and explore the career path for Machine Learning Engineer

AI Engineer

AI Engineers design, develop, and deploy AI models. They work with data scientists and other engineers to build and maintain AI systems. Responsible AI: Applying AI Principles with Google Cloud can help you prepare for a career as an AI Engineer by teaching you the principles of AI and machine learning. You will also learn how to build and deploy AI models on the Google Cloud Platform.

See salaries and explore the career path for AI Engineer

Software Engineer

Software Engineers design, develop, and deploy software applications. They work with other engineers and business stakeholders to build and maintain software systems. Responsible AI: Applying AI Principles with Google Cloud can help you prepare for a career as a Software Engineer by teaching you the principles of AI and machine learning. You will also learn how to build and deploy AI models on the Google Cloud Platform.

See salaries and explore the career path for Software Engineer

Data Analyst

Data Analysts collect, clean, and analyze data to help businesses make informed decisions. They work with data scientists and other analysts to build and maintain data analysis systems. Responsible AI: Applying AI Principles with Google Cloud can help you prepare for a career as a Data Analyst by teaching you the principles of AI and machine learning. You will also learn how to build and deploy AI models on the Google Cloud Platform.

See salaries and explore the career path for Data Analyst

Project Manager

Project Managers plan and execute projects. They work with stakeholders to define project goals, develop project plans, and track project progress. Responsible AI: Applying AI Principles with Google Cloud can help you prepare for a career as a Project Manager by teaching you the principles of AI and machine learning. You will also learn how to build and deploy AI models on the Google Cloud Platform.

See salaries and explore the career path for Project Manager

Machine Learning Manager

Machine Learning Managers lead teams of machine learning engineers and other professionals. They work with stakeholders to define machine learning goals, develop machine learning strategies, and manage machine learning projects. Responsible AI: Applying AI Principles with Google Cloud can help you prepare for a career as a Machine Learning Manager by teaching you the principles of AI and machine learning. You will also learn how to build and deploy AI models on the Google Cloud Platform.

See salaries and explore the career path for Machine Learning Manager

Data Science Manager

Data Science Managers lead teams of data scientists and other professionals. They work with stakeholders to define data science goals, develop data science strategies, and manage data science projects. Responsible AI: Applying AI Principles with Google Cloud can help you prepare for a career as a Data Science Manager by teaching you the principles of AI and machine learning. You will also learn how to build and deploy AI models on the Google Cloud Platform.

See salaries and explore the career path for Data Science Manager

Product Manager

Product Managers develop and manage products. They work with engineers, designers, and other stakeholders to build and maintain products that meet the needs of customers. Responsible AI: Applying AI Principles with Google Cloud can help you prepare for a career as a Product Manager by teaching you the principles of AI and machine learning. You will also learn how to build and deploy AI models on the Google Cloud Platform.

See salaries and explore the career path for Product Manager

Business Analyst

Business Analysts help businesses understand their business needs and develop solutions to meet those needs. They work with stakeholders to gather and analyze data, and develop and implement solutions. Responsible AI: Applying AI Principles with Google Cloud can help you prepare for a career as a Business Analyst by teaching you the principles of AI and machine learning. You will also learn how to build and deploy AI models on the Google Cloud Platform.

See salaries and explore the career path for Business Analyst

Chief Data Officer

Chief Data Officers lead data science and analytics teams. They work with stakeholders to define data strategy, develop data governance policies, and manage data assets.

See salaries and explore the career path for Chief Data Officer

Chief Analytics Officer

Chief Analytics Officers lead analytics teams. They work with stakeholders to define analytics strategy, develop analytics governance policies, and manage analytics assets.

See salaries and explore the career path for Chief Analytics Officer

Chief AI Officer

Chief AI Officers lead AI teams. They work with stakeholders to define AI strategy, develop AI governance policies, and manage AI assets.

See salaries and explore the career path for Chief AI Officer

Senior Machine Learning Engineer

Senior Machine Learning Engineers develop and deploy AI models. They work with other engineers and data scientists to build and maintain AI systems. This course can help prepare you for a career as a Senior Machine Learning Engineer by teaching you the principles of AI and machine learning. You will also learn how to build and deploy AI models on the Google Cloud Platform.

See salaries and explore the career path for Senior Machine Learning Engineer

Senior Data Scientist

Senior Data Scientists develop and deploy AI models. They work with other data scientists and engineers to build and maintain AI systems. This course can help prepare you for a career as a Senior Data Scientist by teaching you the principles of AI and machine learning. You will also learn how to build and deploy AI models on the Google Cloud Platform.

See salaries and explore the career path for Senior Data Scientist