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Responsible AI

Applying AI Principles with GC - Polski

Google Cloud Training

Google Cloud Training

Im szerzej wykorzystuje się w firmach sztuczną inteligencję i systemy uczące się, tym większej wagi nabiera odpowiedzialne podejście do opracowywania tych technologii. Wielu organizacjom trudniej jest jednak wprowadzić zasady odpowiedzialnej AI w praktyce niż tylko o tym rozmawiać. To szkolenie jest przeznaczone dla osób, które chcą się dowiedzieć, jak wdrożyć odpowiedzialną AI w swojej organizacji.

W jego trakcie dowiesz się, jak robimy to w Google Cloud, oraz poznasz sprawdzone metody i wnioski z naszych działań w tym zakresie. Pomoże Ci to opracować własne podejście do odpowiedzialnej AI.

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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.

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Traffic lights

Read about what's good

what should give you pause

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

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Reviews summary

Responsible ai principles and implementation

According to learners, this course provides a practical and comprehensive guide to implementing responsible AI principles within organizations. Students appreciate its focus on Google Cloud's proven methodology and the real-world insights gained from their experience. The curriculum covers a broad range of topics, from understanding the business case for ethical AI to identifying technical and ethical dilemmas, including those related to generative AI. Learners find it particularly valuable for developing their own organizational approaches to responsible AI through practical advice on creating and auditing AI policies.

Provides strategic understanding rather than deep technical detail.

"This course is excellent for understanding the strategic aspects of responsible AI, less so for specific coding practices."

"I came away with a strong framework for ethical AI, which is what I needed, not highly technical implementations."

"It's more about 'why' and 'how to organize' responsible AI than 'how to code' it."

Covers business, technical, and ethical aspects of AI.

"I found the course's holistic approach, from business cases to technical dilemmas, very thorough."

"It covers everything from policy creation to identifying ethical problems, giving a complete picture."

"The inclusion of generative AI discussions made the content incredibly current and relevant."

Offers valuable perspectives from Google Cloud's experience.

"Learning how Google Cloud tackles responsible AI provided invaluable insights for my own company's strategy."

"The best practices shared by Google Cloud were highly relevant and actionable."

"I gained a deeper understanding of real-world challenges and solutions from Google's extensive experience."

Equips organizations to apply AI principles effectively.

"This course helped me understand how to actually implement responsible AI principles in my organization, not just discuss them."

"I appreciated the focus on practical applications and how Google Cloud approaches these complex issues."

"The course outlined clear steps for integrating ethical considerations into our AI development lifecycle."

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

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

Browse courses on Responsible AI

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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

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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

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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

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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

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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

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Work through the 'Responsible AI' tutorial series on Coursera

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

Browse courses on Responsible AI

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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

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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

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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

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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

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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

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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

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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

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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

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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

Reading list

We've selected eight 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 Responsible AI: Applying AI Principles with GC - Polski.

Cover image

Cover image

The Ethical Algorithm

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Offers an introduction to the ethical challenges around AI, and would be of particular interest to learners who are interested in the ethical dimension of this course's topics. It would be a useful addition to the reading list as a background or prerequisite knowledge source.

The Ethical Algorithm: The Science of Socially...

(Español) El algoritmo ético. La ciencia del diseño de...

Cover image

Cover image

Human Compatible

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This more technical book that provides background information on the development and current state of AI. It would be of most use to learners interested in the technical aspects of responsible AI.

Human Compatible: Artificial Intelligence and the...

(Deutsch) Human Compatible: Künstliche Intelligenz und wie...

Human Compatible (Lead Title)

Cover image

Cover image

The Future of Humanity

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Discusses the potential long-term implications of AI for humanity and would be of most use to learners interested in philosophical questions about the role of AI in the future.

The Future of Humanity: Our Destiny in the Universe

(Español) El futuro de la humanidad / The Future of Humanity...

(Español) La física del futuro [Physics of the Future]: Cómo...

Audible Audiobook

(Deutsch) Abschied von der Erde: Die Zukunft der Menschheit...

Cover image

Cover image

The Master Algorithm

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Offers a broad overview of current trends in AI research and development. It would be useful for learners interested in understanding the cutting-edge developments in AI.

The Master Algorithm: How the Quest for the...

The Master Algorithm: How the Quest for the...

(Türkçe) Master algoritma : yapay ögrenme hayatimizi nasil...

Master algorithm (Korean Edition)

Cover image

Cover image

How to Create a Mind

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Presents a vision of the future of AI and human-machine interaction.

How to Create a Mind

How to Create a Mind

Cover image

Cover image

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Explores the philosophical implications of AI for what it means to be human.

Life 3.0: Being Human in the Age of Artificial...

(Español) Vida 3.0/Life 3.0: Being Human in the Age of...

Our Mathematical Universe & Life 3.0 Being Human in...

(Deutsch) Leben 3.0: Mensch sein im Zeitalter Künstlicher...

Life 3.0 (Lead Title)

(中文) Life 3.0: being human in the age of artificial...

Life 3.0: mens zijn in het tijdperk van kunstmatige...

(Português) Life 3.0 Ser-se Humano na Era da Inteligência...

Cover image

Cover image

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Explores the potential risks and benefits of superintelligence.

Deep Utopia: Life and Meaning in a Solved World

Deep Utopia: Life and Meaning in a Solved World

Cover image

Cover image

The Alignment Problem

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Explores the challenges of aligning AI systems with human values.

The Alignment Problem

The Alignment Problem

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Effort

1 hour to complete

Level

Introductory

Via

Coursera

Institution

Google Cloud

Instructor

Google Cloud Training

Language

English

Transcript

Polski

Traffic lights

Read about what's good

what should give you pause

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

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