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Anton Ekker
In this course we will go over the principles that make AI ethical, and how those principles vary in the United States of America and the European Union.
Read more
In this course we will go over the principles that make AI ethical, and how those principles vary in the United States of America and the European Union.
Read more
In this course we will go over the principles that make AI ethical, and how those principles vary in the United States of America and the European Union.
As more companies look to leverage the power of artificial intelligence, it is crucial to educate your staff on the laws surrounding AI ethics. In this course, AI and the Law: Implementing Trustworthy AI, you’ll gain a high view understanding of AI legislation and how you can apply it to your organization. First, you’ll explore the definition of trustworthy AI. Next, you’ll discover the variations of ethical AI in the European Union and the United States. Finally, you’ll learn how to get key stakeholders involved in applying these ethical principles to you products. When you’re finished with this course, you’ll have the knowledge of ethical AI laws and understand how they can apply to your organization.
Register for this course and see more details by visiting:
OpenCourser.com/course/hz5kes/ai
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What's inside
Syllabus
Defining Trustworthy AI
Ethical Principles
Realising Trustworthy AI
Case Study: Health App Implementation at a Hospital
Read more
Syllabus
Defining Trustworthy AI
Ethical Principles
Realising Trustworthy AI
Case Study: Health App Implementation at a Hospital
Read more
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops concepts surrounding the ethics of AI, which are core topics for data scientists, AI engineers, and machine learning engineers
Examines ethical AI principles in the EU and the US, which is highly relevant for companies looking to leverage AI internationally
Offers practical guidance on applying ethical principles to AI products, which is useful for professionals responsible for AI development
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Save AI and the Law: Implementing Trustworthy AI to your list so you can find it easily later:
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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 AI and the Law: Implementing Trustworthy AI with these
activities:
Review ethical principles
Show steps
Review the basic ethical principles you already know to help reinforce your understanding of AI ethics.
Browse courses on
Ethical Principles
Show steps
-
Identify the key ethical principles that apply to AI
-
Consider how these principles might be applied in different scenarios
Review Foundational AI Concepts
Show steps
Review foundational AI concepts such as machine learning, deep learning, and natural language processing to strengthen your understanding of the course material.
Browse courses on
Artificial Intelligence
Show steps
-
Review lecture notes or online resources on AI concepts.
-
Complete practice exercises or quizzes.
The Ethical Algorithm: The Science of Socially Aware Algorithm Design
Show steps
Review this book to gain a deeper understanding of the ethical principles surrounding AI, particularly the variations between the US and EU.
View
The Ethical Algorithm: The Science of Socially...
on Amazon
Show steps
-
Read the introduction and chapter 1.
-
Summarize the key ethical principles discussed in the book.
-
Identify the differences between the ethical principles in the US and EU.
-
Create a mind map of the ethical considerations for AI development.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Analyze case studies
Show steps
Engage in practice drills to analyze real-world case studies that demonstrate the ethical implications of AI.
Browse courses on
Case Studies
Show steps
-
Examine a case study and identify the ethical issues involved
-
Discuss the different perspectives on the ethical issues
-
Develop recommendations for addressing the ethical issues
AI Algorithm Exercises
Show steps
Test and improve your understanding of various AI algorithms by completing the exercises provided in the course.
Browse courses on
Artificial Intelligence
Show steps
-
Review the AI algorithm concepts covered in the course.
-
Attempt the exercises on your own.
-
Check your answers against the provided solutions.
-
Identify the areas where you need more practice.
-
Revise the concepts and practice additional exercises until you are confident.
AI Ethics Discussion Group
Show steps
Participate in online or in-person discussion groups with peers to exchange ideas and perspectives on AI ethics.
Show steps
-
Join or create a discussion group focused on AI ethics.
-
Actively participate in discussions and share your thoughts.
-
Listen to and learn from the perspectives of others.
AI Ethics MOOCs or Online Courses
Show steps
Supplement your learning with online courses or tutorials on AI ethics from platforms like Coursera or edX.
Show steps
-
Identify and enroll in an AI ethics MOOC.
-
Complete the course modules and assignments.
AI Ethics Case Study Practice
Show steps
Practice applying AI ethical principles by working through case studies and scenarios.
Show steps
-
Identify and gather AI ethics case studies.
-
Analyze the case studies and identify the ethical issues involved.
-
Develop and evaluate potential solutions or recommendations based on ethical principles.
AI Ethics Case Study Analysis
Show steps
Analyze real-world AI ethics case studies to apply the ethical principles learned in the course to practical scenarios.
Browse courses on
Ethical considerations in AI
Show steps
-
Identify and gather relevant case studies.
-
Analyze the ethical issues and dilemmas presented in each case study.
-
Develop and evaluate potential solutions or recommendations based on ethical principles.
-
Create a presentation or report summarizing the analysis and findings.
AI Ethics in Action: A Blog Post or Article
Show steps
Write a blog post or article that explores a specific aspect of AI ethics, such as bias in AI algorithms or the impact of AI on privacy.
Show steps
-
Choose a specific topic related to AI ethics.
-
Research the topic and gather relevant information.
-
Write a clear and engaging blog post or article that presents your findings.
-
Share your blog post or article online.
Review ethical principles
Show steps
Review the basic ethical principles you already know to help reinforce your understanding of AI ethics.
Browse courses on
Ethical Principles
Show steps
Show steps
Show steps
- Identify the key ethical principles that apply to AI
- Consider how these principles might be applied in different scenarios
Review Foundational AI Concepts
Show steps
Review foundational AI concepts such as machine learning, deep learning, and natural language processing to strengthen your understanding of the course material.
Browse courses on
Artificial Intelligence
Show steps
Show steps
Show steps
- Review lecture notes or online resources on AI concepts.
- Complete practice exercises or quizzes.
The Ethical Algorithm: The Science of Socially Aware Algorithm Design
Show steps
Review this book to gain a deeper understanding of the ethical principles surrounding AI, particularly the variations between the US and EU.
View
The Ethical Algorithm: The Science of Socially...
on Amazon
Show steps
Show steps
Show steps
- Read the introduction and chapter 1.
- Summarize the key ethical principles discussed in the book.
- Identify the differences between the ethical principles in the US and EU.
- Create a mind map of the ethical considerations for AI development.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Analyze case studies
Show steps
Engage in practice drills to analyze real-world case studies that demonstrate the ethical implications of AI.
Browse courses on
Case Studies
Show steps
Show steps
Show steps
- Examine a case study and identify the ethical issues involved
- Discuss the different perspectives on the ethical issues
- Develop recommendations for addressing the ethical issues
AI Algorithm Exercises
Show steps
Test and improve your understanding of various AI algorithms by completing the exercises provided in the course.
Browse courses on
Artificial Intelligence
Show steps
Show steps
Show steps
- Review the AI algorithm concepts covered in the course.
- Attempt the exercises on your own.
- Check your answers against the provided solutions.
- Identify the areas where you need more practice.
- Revise the concepts and practice additional exercises until you are confident.
AI Ethics Discussion Group
Show steps
Participate in online or in-person discussion groups with peers to exchange ideas and perspectives on AI ethics.
Show steps
Show steps
Show steps
- Join or create a discussion group focused on AI ethics.
- Actively participate in discussions and share your thoughts.
- Listen to and learn from the perspectives of others.
AI Ethics MOOCs or Online Courses
Show steps
Supplement your learning with online courses or tutorials on AI ethics from platforms like Coursera or edX.
Show steps
Show steps
Show steps
- Identify and enroll in an AI ethics MOOC.
- Complete the course modules and assignments.
AI Ethics Case Study Practice
Show steps
Practice applying AI ethical principles by working through case studies and scenarios.
Show steps
Show steps
Show steps
- Identify and gather AI ethics case studies.
- Analyze the case studies and identify the ethical issues involved.
- Develop and evaluate potential solutions or recommendations based on ethical principles.
AI Ethics Case Study Analysis
Show steps
Analyze real-world AI ethics case studies to apply the ethical principles learned in the course to practical scenarios.
Browse courses on
Ethical considerations in AI
Show steps
Show steps
Show steps
- Identify and gather relevant case studies.
- Analyze the ethical issues and dilemmas presented in each case study.
- Develop and evaluate potential solutions or recommendations based on ethical principles.
- Create a presentation or report summarizing the analysis and findings.
AI Ethics in Action: A Blog Post or Article
Show steps
Write a blog post or article that explores a specific aspect of AI ethics, such as bias in AI algorithms or the impact of AI on privacy.
Show steps
Show steps
Show steps
- Choose a specific topic related to AI ethics.
- Research the topic and gather relevant information.
- Write a clear and engaging blog post or article that presents your findings.
- Share your blog post or article online.
Career center
Learners who complete AI and the Law: Implementing Trustworthy AI will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist uses data to understand trends, patterns, and other insights that can help businesses make better decisions. By completing \"AI and the Law: Implementing Trustworthy AI\", you can gain a deeper understanding of how to implement AI in a way that is compliant with both U.S. and EU regulations.
AI Engineer
AI Engineer
An AI Engineer is responsible for designing, developing, testing, and deploying AI solutions. By taking the course \"AI and the Law: Implementing Trustworthy AI\", you can learn how to create AI systems that are ethical and compliant with the law. This will give you a competitive advantage in the job market and help you to succeed in this rapidly growing field.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers apply machine learning techniques to develop software applications. This course provides a comprehensive overview of AI ethics and law, which are essential for Machine Learning Engineers who want to create AI systems that are fair, unbiased, and transparent. Completing this course will give you the knowledge and skills you need to succeed in this in-demand field.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. Taking \"AI and the Law: Implementing Trustworthy AI\" can help you learn about the legal and ethical implications of AI, which is increasingly used in software applications. This knowledge will make you a more well-rounded Software Engineer and increase your career prospects.
Data Analyst
Data Analyst
Data Analysts interpret and communicate data to help businesses make better decisions. \"AI and the Law: Implementing Trustworthy AI\" can give you a solid foundation in AI ethics and law, which are becoming increasingly important in the field of data analysis. This course will help you to stay ahead of the curve and succeed in your career.
Business Analyst
Business Analyst
Business Analysts help businesses improve their operations by analyzing data and identifying areas for improvement. \"AI and the Law: Implementing Trustworthy AI\" can teach you about the legal and ethical implications of AI, which is increasingly used in business analysis. This knowledge will help you to make better recommendations and succeed in your career.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. By taking \"AI and the Law: Implementing Trustworthy AI\", you can learn about the legal and ethical implications of AI, which is becoming increasingly important in product development. This knowledge will help you to create products that are successful and compliant with the law.
Project Manager
Project Manager
Project Managers oversee the planning, execution, and completion of projects. The course \"AI and the Law: Implementing Trustworthy AI\" can teach you about the legal and ethical implications of AI, which can be used to improve project management practices. This knowledge will help you to manage projects more effectively and avoid legal pitfalls.
IT Manager
IT Manager
IT Managers are responsible for the planning, implementation, and management of IT systems. By completing \"AI and the Law: Implementing Trustworthy AI\", you can learn about the legal and ethical implications of AI, which is increasingly used in IT systems. This knowledge will help you to make better decisions and succeed in your career.
Information Security Analyst
Information Security Analyst
Information Security Analysts protect computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. \"AI and the Law: Implementing Trustworthy AI\" can help you to understand the legal and ethical implications of AI, which is increasingly used in information security. This knowledge will help you to protect your organization's data and avoid legal liability.
Compliance Officer
Compliance Officer
Compliance Officers ensure that their organizations comply with all applicable laws and regulations. Taking \"AI and the Law: Implementing Trustworthy AI\" can give you a comprehensive understanding of AI ethics and law, which is essential for Compliance Officers who want to ensure that their organizations are using AI in a compliant manner. This course will help you to stay ahead of the curve and succeed in your career.
Privacy Officer
Privacy Officer
Privacy Officers are responsible for protecting personal information and ensuring that their organizations comply with all applicable privacy laws and regulations. \"AI and the Law: Implementing Trustworthy AI\" can help you to understand the legal and ethical implications of AI, which is increasingly used to collect and process personal data. This knowledge will help you to protect your organization's reputation and avoid legal penalties.
Legal Counsel
Legal Counsel
Legal Counsel provides legal advice to organizations and individuals. Taking \"AI and the Law: Implementing Trustworthy AI\" can enhance your understanding of AI ethics and law, which is becoming increasingly important in the legal field. This course will give you the knowledge and skills you need to succeed in your career.
Policy Analyst
Policy Analyst
Policy Analysts research, analyze, and make recommendations on public policy issues. \"AI and the Law: Implementing Trustworthy AI\" can provide you with a solid foundation in AI ethics and law, which can help you to develop and implement more effective public policies.
Management Consultant
Management Consultant
Management Consultants help organizations improve their performance. Completing \"AI and the Law: Implementing Trustworthy AI\" can give you a deeper understanding of the legal and ethical implications of AI, which is becoming increasingly important in the field of management consulting. This knowledge will help you to provide better advice to your clients and succeed in your career.
For more career information including salaries, visit:
OpenCourser.com/course/hz5kes/ai
Reading list
We've selected seven 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
AI and the Law: Implementing Trustworthy AI.
An approachable introduction to the most important moral and societal questions surrounding artificial intelligence.
Save
Explores the legal and ethical implications of AI development and use, with a particular focus on human rights.
Save
A popular science book that discusses the potential of AI and its implications for the future of humanity.
Save
A thought-provoking book that explores the potential risks and benefits of developing superintelligent AI.
Save
A best-selling book that discusses the potential of AI to transform human society.
This is an accessible introduction to the field of artificial intelligence, providing a good foundation for understanding the ethical and legal issues surrounding AI.
Save
Explores the technical and policy challenges of ensuring the safety and security of AI systems.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/hz5kes/ai
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Time
21 hours
Level
Introductory
Via
Pluralsight
Instructor
Anton Ekker
Language
English
Good to know
Develops concepts surrounding the ethics of AI, which are core topics for data scientists, AI engineers, and machine learning engineers
Examines ethical AI principles in the EU and the US, which is highly relevant for companies looking to leverage AI internationally
Offers practical guidance on applying ethical principles to AI products, which is useful for professionals responsible for AI development
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