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Responsible AI
Applying AI Principles with Google Cloud
Google Cloud Training
Google Cloud Training
As the use of enterprise Artificial Intelligence and Machine Learning continues to grow, so too does the importance of building it responsibly. A challenge for many is that talking about responsible AI can be easier than putting it into practice. If you’re interested in learning how to operationalize responsible AI in your organization, this course is for you.
Read more
As the use of enterprise Artificial Intelligence and Machine Learning continues to grow, so too does the importance of building it responsibly. A challenge for many is that talking about responsible AI can be easier than putting it into practice. If you’re interested in learning how to operationalize responsible AI in your organization, this course is for you.
Read more
As the use of enterprise Artificial Intelligence and Machine Learning continues to grow, so too does the importance of building it responsibly. A challenge for many is that talking about responsible AI can be easier than putting it into practice. If you’re interested in learning how to operationalize responsible AI in your organization, this course is for you.
In this course, you will learn how Google Cloud does this today, together with best practices and lessons learned, to serve as a framework for you to build your own responsible AI approach.
Register for this course and see more details by visiting:
OpenCourser.com/course/iizj1i/responsible
What's inside
Syllabus
Introduction
In this module, you will learn about the impact of AI technology and Google's approach to responsible AI, and also be introduced to Google's AI Principles.
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Syllabus
Introduction
In this module, you will learn about the impact of AI technology and Google's approach to responsible AI, and also be introduced to Google's AI Principles.
Read more
The Business Case for Responsible AI
In this module, you will learn about how to make a business case for responsible AI, based on the report 'The Business Case for Ethics by Design' by the Economist Intelligence Unit.
AI’s Technical Considerations and Ethical Concerns
In this module, you will learn about ethical dilemmas and how emerging technology such as generative AI can surface ethical concerns that need to be addressed.
Creating AI Principles.
In this module, you will learn about how Google’s AI Principles were developed and explore the ethical aims of each of these Principles.
Operationalizing AI Principles: Setting Up and Running Reviews
In this module, you will learn about the practical application of responsible AI and how to operationalize AI principles by setting up and running reviews.
Operationalizing AI Principles: Issue Spotting and Lessons Learned
In this module, you will learn about the process of identifying possible ethical issues and identify issue spotting questions to think critically about the potential benefits and harms of a use case.
Continuing the Journey Towards Responsible AI
In this module, you will learn about the next steps and resources you can use to continue your responsible AI journey.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Examines ethical dilemmas and how emerging technology can surface ethical concerns that need to be addressed
Develops skills for operationalizing AI principles, which are highly relevant to industry
Taught by Google Cloud Training, who are recognized for their work in the topic that the course teaches
Explores how Google Cloud does this today, together with best practices and lessons learned, which may be valuable for students
Explicitly requires that students come in with extensive background knowledge first
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Activities
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Responsible AI: Applying AI Principles with Google Cloud.
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Career center
Learners who complete Responsible AI: Applying AI Principles with Google Cloud will develop knowledge and skills
that may be useful to these careers:
AI Ethicist
AI Ethicist
AI Ethicists ensure that AI systems are developed and used in a responsible and ethical manner. They work with engineers, product managers, and other stakeholders to identify and mitigate ethical risks. This course provides AI Ethicists with the tools and knowledge they need to be effective in their role.
AI Policy Advisor
AI Policy Advisor
AI Policy Advisors develop and implement policies that govern the use of AI. They work with governments, businesses, and other organizations to ensure that AI is used in a responsible and ethical manner. This course provides AI Policy Advisors with the knowledge and skills they need to be effective in their role.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build, deploy, and maintain machine learning models. They may also work with Data Scientists to develop new algorithms. This course teaches Machine Learning Engineers how to identify and mitigate the ethical risks associated with AI, and develop more responsible AI solutions.
Product Manager
Product Manager
Product Managers define the vision and roadmap for new AI products and features. They work with engineers, designers, and other stakeholders to bring these products to life. This course can help Product Managers understand the ethical considerations involved in AI development, and develop more responsible AI products.
UX Designer
UX Designer
UX Designers design the user experience for AI products and features. They work with engineers, product managers, and other stakeholders to create AI systems that are easy to use and understand. This course can help UX Designers understand the ethical considerations involved in AI development, and design more responsible AI experiences.
Software Engineer
Software Engineer
Software Engineers build and maintain the software that powers AI systems. They work with engineers, product managers, and other stakeholders to bring these systems to life. This course can help Software Engineers understand the ethical considerations involved in AI development, and develop more responsible AI systems.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. They work with engineers, product managers, and other stakeholders to use data to make better decisions. This course can help Data Analysts understand the ethical considerations involved in AI development, and use data more responsibly to develop AI systems.
Data Scientist
Data Scientist
Data Scientists research and develop new algorithms and techniques for extracting actionable insights from large datasets. This course may be useful for Data Scientists who want to gain a deeper understanding of the ethical considerations involved in AI development, as well as how to operationalize responsible AI principles within their organization.
Business Analyst
Business Analyst
Business Analysts help organizations understand and improve their business processes. They work with stakeholders across the organization to gather requirements, analyze data, and identify opportunities for improvement. This course can help Business Analysts understand the ethical considerations involved in AI development, and develop more responsible AI solutions.
Project Manager
Project Manager
Project Managers lead and manage projects to deliver new AI products and features. They work with engineers, product managers, and other stakeholders to ensure that projects are completed on time, within budget, and to the required quality. This course can help Project Managers understand the ethical considerations involved in AI development, and manage AI projects more responsibly.
Technical Writer
Technical Writer
Technical Writers create documentation for AI systems and products. They work with engineers, product managers, and other stakeholders to create clear and concise documentation that helps users understand how to use and maintain AI systems. This course can help Technical Writers understand the ethical considerations involved in AI development, and write more responsible AI documentation.
Marketer
Marketer
Marketers promote and sell AI products and services. They work with engineers, product managers, and other stakeholders to create marketing campaigns that reach and engage target audiences. This course can help Marketers understand the ethical considerations involved in AI development, and market AI products and services more responsibly.
Salesperson
Salesperson
Salespeople sell AI products and services to customers. They work with engineers, product managers, and other stakeholders to identify and qualify leads, and close deals. This course can help Salespeople understand the ethical considerations involved in AI development, and sell AI products and services more responsibly.
Customer Success Manager
Customer Success Manager
Customer Success Managers help customers adopt and use AI products and services. They work with engineers, product managers, and other stakeholders to ensure that customers are successful with their AI investments. This course can help Customer Success Managers understand the ethical considerations involved in AI development, and help customers use AI products and services more responsibly.
Support Engineer
Support Engineer
Support Engineers provide technical support to customers who are using AI products and services. They work with engineers, product managers, and other stakeholders to resolve customer issues and ensure that customers are satisfied with their AI investments. This course can help Support Engineers understand the ethical considerations involved in AI development, and provide more responsible AI support to customers.
For more career information including salaries, visit:
OpenCourser.com/course/iizj1i/responsible
Reading list
We've selected 15 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 Google Cloud.
Explores the challenges of aligning the goals of AI systems with human values. It must-read for anyone interested in the future of AI and its potential impact on society.
A critical examination of the use of AI in decision-making, highlighting the potential for bias and discrimination. Raises awareness of the societal risks of irresponsible AI and the need for transparency and accountability.
A practical guide to building machine learning models using popular libraries such as Scikit-Learn, Keras, and TensorFlow. Provides hands-on experience in implementing responsible AI practices, such as model evaluation and bias mitigation.
A hands-on guide to deep learning, using the fastai library and PyTorch framework. Provides practical experience in building and deploying AI models, reinforcing the technical concepts covered in the course.
An economic perspective on AI, examining the impact of AI on labor markets, productivity, and innovation. Provides insights into the economic benefits and challenges of responsible AI adoption.
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A business-oriented perspective on AI, exploring the opportunities and challenges of implementing AI in various industries. Provides insights into the strategic advantages of responsible AI and how to avoid potential pitfalls.
Save
Comprehensive introduction to the field of deep learning. It covers the basics of deep learning algorithms, as well as how to apply them to real-world problems. It valuable resource for anyone who wants to learn more about deep learning.
Comprehensive introduction to the field of reinforcement learning. It covers the basics of reinforcement learning algorithms, as well as how to apply them to real-world problems. It valuable resource for anyone who wants to learn more about reinforcement learning.
Provides a practical introduction to natural language processing. It covers the basics of natural language processing algorithms, as well as how to apply them to real-world problems. It valuable resource for anyone who wants to learn more about natural language processing.
Save
Provides a comprehensive overview of the field of computer vision. It covers the basics of computer vision algorithms, as well as how to apply them to real-world problems. It valuable resource for anyone who wants to learn more about computer vision.
Provides a comprehensive overview of the field of speech and language processing. It covers the basics of speech and language processing algorithms, as well as how to apply them to real-world problems. It valuable resource for anyone who wants to learn more about speech and language processing.
Provides a comprehensive overview of the field of probabilistic graphical models. It covers the basics of probabilistic graphical models, as well as how to apply them to real-world problems. It valuable resource for anyone who wants to learn more about probabilistic graphical models.
Provides a comprehensive overview of the field of Bayesian reasoning and machine learning. It covers the basics of Bayesian reasoning and machine learning algorithms, as well as how to apply them to real-world problems. It valuable resource for anyone who wants to learn more about Bayesian reasoning and machine learning.
Provides a comprehensive overview of the field of information theory, inference, and learning algorithms. It covers the basics of information theory, inference, and learning algorithms, as well as how to apply them to real-world problems. It valuable resource for anyone who wants to learn more about information theory, inference, and learning algorithms.
Provides a comprehensive overview of the field of machine learning from a probabilistic perspective. It covers the basics of machine learning algorithms, as well as how to apply them to real-world problems. It valuable resource for anyone who wants to learn more about machine learning from a probabilistic perspective.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/iizj1i/responsible
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Level
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Via
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Institution
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Instructor
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Language
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Good to know
Examines ethical dilemmas and how emerging technology can surface ethical concerns that need to be addressed
Develops skills for operationalizing AI principles, which are highly relevant to industry
Taught by Google Cloud Training, who are recognized for their work in the topic that the course teaches
Explores how Google Cloud does this today, together with best practices and lessons learned, which may be valuable for students
Explicitly requires that students come in with extensive background knowledge first
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