Responsible AI: Applying AI Principles with GC

What's inside

Syllabus

Wstęp

W tej części poznasz wpływ technologii AI i podejście Google do odpowiedzialnej AI, a także zapoznasz się z zasadami Google dotyczącymi AI.

Korzyści z wprowadzenia odpowiedzialnej AI w firmie

W tej części dowiesz się, jak przedstawić korzyści z wprowadzenia odpowiedzialnej AI w firmie na podstawie raportu „The Business Case for Ethics by Design” (Zalety etycznego podejścia do projektowania w firmie) sporządzonego przez Economist Intelligence Unit.

Względy techniczne i etyczne dotyczące sztucznej inteligencji

W tej części omawiamy wymagające podjęcia odpowiednich działań dylematy etyczne, które mogą powstać w związku z wprowadzeniem nowych technologii takich jak generatywna AI.

Tworzenie zasad dotyczących AI

W tej części opisujemy, jak powstały zasady Google dotyczące AI, oraz omawiamy cele etyczne każdej z tych zasad.

Wdrażanie zasad dotyczących AI: organizowanie i przeprowadzanie kontroli

W tej części poznasz praktyczne zastosowania odpowiedzialnej AI oraz dowiesz się, jak wdrożyć zasady dotyczące AI przez zorganizowanie kontroli i ich regularne przeprowadzanie.

Wdrażanie zasad dotyczących AI: rozpoznawanie problemów i wnioski na przyszłość

W tej części poznasz proces identyfikowania potencjalnych problemów etycznych oraz pytania, które pozwolą Ci je rozpoznać, a przy tym pomogą Ci przeprowadzić krytyczną analizę potencjalnych korzyści i zagrożeń danego przypadku użycia.

Dalsza droga ku odpowiedzialnej AI

W tej części poznasz następne kroki oraz zasoby, z których możesz skorzystać, aby dalej podążać drogą ku odpowiedzialnej AI.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Relevant to industry and taught by trusted sources, Google Cloud Training provides real-world examples of responsible AI implementation

Teaches ethical considerations in AI development, including addressing potential risks and biases

Helps learners develop a framework for responsible AI implementation within their own organizations

Provides practical guidance on addressing ethical dilemmas in AI projects, reducing risks and promoting positive outcomes

Course content is detailed and covers a wide range of topics related to responsible AI, ensuring a comprehensive understanding

Suitable for individuals interested in understanding and applying ethical principles in the development and deployment of AI systems

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 - Polski with these activities:

Create a study guide covering the key concepts of responsible AI

Show steps

Creating a study guide will help you organize your thoughts and better understand the key concepts of responsible AI.

Browse courses on Responsible AI

Show steps

Review the course materials and identify the key concepts of responsible AI.
Create a study guide that summarizes the key concepts and includes examples and case studies.

Join a study group to discuss the ethical implications of AI

Show steps

Discussing the ethical implications of AI with your peers will help you develop a more nuanced understanding of the issues involved.

Browse courses on Responsible AI

Show steps

Find a study group that meets regularly to discuss responsible AI.
Prepare for each meeting by reading the assigned materials and completing any assigned activities.
Actively participate in the discussions and share your own insights.

Complete the 'Ethical AI' practice drills on Coursera

Show steps

Completing the 'Ethical AI' practice drills on Coursera will help you test your understanding of the key concepts of responsible AI.

Browse courses on Responsible AI

Show steps

Complete the practice drills on the principles and practices of responsible AI.
Review your results and identify areas where you need to improve your understanding.

Five other activities

Expand to see all activities and additional details

Show all eight activities

Work through the 'Responsible AI' tutorial series on Coursera

Show steps

This tutorial series will provide you with a practical introduction to the principles and practices of responsible AI.

Browse courses on Responsible AI

Show steps

Complete the tutorial modules on responsible AI principles and practices.
Apply the principles and practices to a real-world case study.

Write a blog post about the importance of responsible AI

Show steps

Writing a blog post about the importance of responsible AI will help you solidify your understanding of the topic and share your insights with others.

Browse courses on Responsible AI

Show steps

Choose a specific aspect of responsible AI to write about.
Research the topic and gather evidence to support your claims.
Write a clear and concise blog post that explains the importance of responsible AI.
Promote your blog post on social media and other online platforms.

Read 'Weapons of Math Destruction' by Cathy O'Neil

Show steps

This book provides a critical look at the use of AI in society, and it will help you understand the potential risks and benefits of AI.

View The Shame Machine: Who Profits in the New Age... on Amazon

Show steps

Summarize the main arguments of the book.
Identify the key ethical issues raised by the book.
Discuss the implications of the book for the responsible development and use of AI.

Develop an AI ethics policy for your organization

Show steps

Creating an AI ethics policy will force you to think through the ethical implications of using AI in your organization and develop concrete guidelines for how to use AI responsibly.

Browse courses on Responsible AI

Show steps

Identify the potential ethical risks of using AI in your organization.
Develop principles to guide the ethical use of AI.
Create specific policies and procedures to implement your principles.
Communicate your AI ethics policy to your employees and stakeholders.

Develop a prototype of an AI system that incorporates responsible AI principles

Show steps

Developing a prototype of an AI system that incorporates responsible AI principles will allow you to apply what you have learned in this course to a practical project.

Browse courses on Responsible AI

Show steps

Define the scope of your project.
Design the architecture of your AI system.
Develop the core components of your AI system.
Test and evaluate your AI system.
Deploy your AI system.

Career center

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

AI Ethicist

AI Ethicists are responsible for advising organizations on the ethical implications of their use of AI. They work with various stakeholders to develop policies and procedures that promote the ethical development and implementation of AI. This course can provide an excellent foundation for a career as an AI Ethicist. It offers a thorough introduction to the ethical considerations that must be addressed when developing and deploying AI systems.

See salaries and explore the career path for AI Ethicist

AI Policy Advisor

AI Policy Advisors work with governments and organizations to develop and implement policies that govern the development and use of AI. This course is a valuable resource for anyone interested in a career as an AI Policy Advisor. It provides an in-depth look at the ethical considerations that must be addressed when developing and deploying AI systems.

See salaries and explore the career path for AI Policy Advisor

AI Policy Analyst

AI Policy Analysts research and analyze the potential impacts of AI on society. They work with policymakers to develop and implement policies that promote the ethical development and implementation of AI. This course provides an excellent foundation for a career as an AI Policy Analyst. It offers a thorough introduction to the ethical considerations that must be addressed when developing and deploying AI systems.

See salaries and explore the career path for AI Policy Analyst

AI Researcher

AI Researchers conduct research to develop new AI technologies. They work with various stakeholders to develop AI systems that meet the needs of society. This course offers a valuable foundation for anyone interested in a career as an AI Researcher. It provides a thorough introduction to the ethical considerations that must be addressed when developing and deploying AI systems.

See salaries and explore the career path for AI Researcher

AI Compliance Specialist

AI Compliance Specialists are responsible for ensuring that an organization's use of Artificial Intelligence complies with all applicable laws and regulations. This course is a useful resource for anyone interested in becoming an AI Compliance Specialist. It thoroughly reviews the ethical considerations for AI development and implementation.

See salaries and explore the career path for AI Compliance Specialist

AI Auditor

AI Auditors are responsible for reviewing an organization's use of AI to ensure that it complies with all applicable laws and regulations. This course is a great resource for anyone looking to become an AI Auditor. It provides an in-depth look at the ethical considerations for AI development and implementation.

See salaries and explore the career path for AI Auditor

AI Risk Manager

AI Risk Managers are responsible for identifying and mitigating the risks posed by an organization's use of AI. They work with various stakeholders to develop strategies to minimize risks. This course is excellent for anyone interested in a career in AI Risk Management. It offers a deep dive into the ethical considerations for AI development and implementation. Additionally, it can help you to develop the tools you need to identify and mitigate risks.

See salaries and explore the career path for AI Risk Manager

AI Developer

AI Developers apply their knowledge of computer programming to build and maintain AI systems. AI Developers work to develop software that solves specific problems and improves efficiency. This course offers a solid introduction to the ethical considerations that must be addressed when developing and deploying AI systems. Understanding these issues can make you a more competitive candidate for AI Developer positions.

See salaries and explore the career path for AI Developer

AI Analyst

AI Analysts gather and analyze data to create reports that help organizations to make informed decisions. They apply their programming skills in the design and development of AI systems. This course will be valuable in helping you to understand the ethical implications of AI systems. This knowledge can give you an edge over other AI Analyst candidates.

See salaries and explore the career path for AI Analyst

Data Analyst

Data Analysts analyze data to extract meaningful insights. They work with data to identify trends and patterns, which are then used to solve problems and improve decision-making. This course will help you understand the ethical considerations that must be addressed when using AI systems. This knowledge will make you a more competitive candidate for Data Analyst positions.

See salaries and explore the career path for Data Analyst

Machine Learning Engineer

Machine Learning Engineers design and implement cutting-edge AI systems. These systems bring efficiency to industries across the board. This course can help you enter the Machine Learning Engineering field by familiarizing you with some essential guidelines for the ethical development and implementation of modern AI technologies. By familiarizing yourself with these guidelines, you'll get a step ahead of other professionals who may be lacking this knowledge.

See salaries and explore the career path for Machine Learning Engineer

Artificial Intelligence Engineer

Artificial Intelligence Engineers are on the frontlines of important work being done with AI. They are implementing new technologies that help improve the efficiency of industries across the board. This course may help you get started in a career as an Artificial Intelligence Engineer. It will acquaint you with guidelines and principles for ethical development and implementation. This will help lay the foundation you'll need to become an AI professional.

See salaries and explore the career path for Artificial Intelligence Engineer

Data Scientist

Data Scientists gather and transform data into insights that can guide strategic decisions in their respective industries. This course may be useful to you if you're interested in a career as a Data Scientist. It will equip you with the ethical frameworks you'll need to become an ethical Data Scientist. This is an increasingly important topic in the field.

See salaries and explore the career path for Data Scientist

Product Manager

Product Managers are in charge of turning raw ideas into successful products. This course may be useful for aspiring Product Managers. It can help you learn how to incorporate ethical considerations into the development of new products. This is an increasingly valuable skill as consumers demand that products they use meet ethical standards.

See salaries and explore the career path for Product Manager

Software Engineer

Software Engineers are responsible for the design and development of software applications. This course may be useful to you if you're interested in a career as a Software Engineer. By providing you with ethical frameworks that can be used in designing software applications, this course can help you enter the Software Engineering field as an ethical practitioner.

See salaries and explore the career path for Software Engineer