We may earn an affiliate commission when you visit our partners.
Course image
Brent Summers

AI Ethics research is an emerging field, and to prove our skills, we need to demonstrate our critical thinking and analytical ability. Since it's not reasonable to jump into a full research paper with our newly founded skills, we will instead work on 3 projects that will demonstrate your ability to analyze ethical AI across a variety of topics and situations. These projects include all the skills you've learned in this AI Ethics Specialization.

Enroll now

Two deals to help you save

We found two deals and offers that may be relevant to this course.
Save money when you learn. All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.

What's inside

Syllabus

Introduction
Welcome to the capstone! Get to know a little bit about the projects we will be tackling in this section
Project 1 - OpenAI: GPT-3 Analysis
Read more
Examining bias in a predictive text model
Project 2 - Alleghany Screening Analysis
Understanding fairness issues with sensitive predictions
Project 3 - Game Theory Algorithm Design
Predicting ethical issues before they arise in model theory

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops skills in critical thinking and analytical ability, which are core skills for ethics
Explores scenarios across a variety of topics and situations, which helps learners think more broadly about ethics
Projects are designed to demonstrate ability to analyze ethical AI
Covers bias in predictive text models, fairness issues with sensitive predictions, and ethical issues in model theory
Instructor Brent Summers are not recognized experts on ethics

Save this course

Save Artificial Intelligence Ethics in Action to your list so you can find it easily later:
Save

Reviews summary

Case study-based ai ethics practice

Learners say this course is a collection of case studies (real-life situations) to practice and apply AI ethics from the field. It reviews the principles of fairness, transparency, accountability, privacy, bias mitigation, and the impact of AI on society. The questions provide a well-thought through process to prepare for handling AI ethics situations in the future. Students suggest that the capstone projects are well placed after the other courses in the specialization, but there is room for improvement earlier on for richer content.
Capstone projects are well placed after other courses in the specialization.
"The idea of capstone projects is good and is well placed after the other courses."
Reviews principles of AI ethics, including fairness, transparency, accountability, privacy, bias mitigation, and impact on society.
"AI ethics often involve considerations such as fairness, transparency, accountability, privacy, bias mitigation, and the impact of AI on society."
Provides hands-on practice with AI ethics.
"Not exactly a course per se but rather a couple of real-life situations to apply knowledge from the previous courses within the same syllabus."
"The use cases and the questions are good to apply AI ethics in action."
Support for answers in the capstone projects is minimal.
"The support for the answer is minimal and is not, at least quantitatively, up to my expectations from one full course."
Earlier modules in the specialization need improvement to provide richer content.
"I appreciate this module in the specialization even though there is a scope to improve earlier modules to make the content richer over time."

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 Artificial Intelligence Ethics in Action with these activities:
Review of Statistics and Probability
Strengthen your foundation in statistics and probability, which are essential for understanding AI ethics.
Browse courses on Statistics
Show steps
  • Review basic concepts of statistics and probability.
  • Solve practice problems to reinforce your understanding.
Bias Analysis Exercises
Practice identifying and mitigating biases in AI systems through drills and exercises.
Browse courses on Bias Mitigation
Show steps
  • Review common types of biases in AI.
  • Analyze real-world examples of biased AI systems.
  • Develop strategies to mitigate biases in your own AI projects.
Discussion Groups: AI Ethics Case Studies
Engage in discussions with peers to explore real-world case studies and ethical dilemmas related to AI.
Browse courses on AI Ethics
Show steps
  • Prepare by reading the assigned case study.
  • Participate actively in the discussion.
  • Reflect on the ethical implications raised.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Workshop: Responsible AI Development
Attend a workshop that focuses on responsible AI development, gaining insights from experts and exploring best practices.
Browse courses on AI Ethics
Show steps
  • Register for the workshop and prepare beforehand.
  • Participate actively in the workshop sessions.
  • Implement the learnings in your own AI projects.
Project: Designing a Fairer AI System
Work on a project that will test your skills in designing and implementing an AI system that takes fairness and ethical considerations into account.
Browse courses on AI Ethics
Show steps
  • Define the problem and objectives of your project.
  • Gather data and explore potential biases.
  • Design and implement your AI system.
  • Evaluate the performance and fairness of your system.
Tutorials on Advanced AI Ethics Techniques
Expand your knowledge and skills in AI ethics by following guided tutorials on advanced topics.
Browse courses on AI Ethics
Show steps
  • Identify areas where you want to enhance your knowledge.
  • Search for reputable tutorials and resources.
  • Follow the tutorials and complete the exercises.
AI Ethics Competition
Participate in an AI ethics competition, showcasing your understanding of the field and applying your skills to solve real-world problems.
Browse courses on AI Ethics
Show steps
  • Identify and research the competition.
  • Form a team and develop a project.
  • Submit your project and present it to the judges.
Blog Post: The Future of AI Ethics
Write a blog post that explores your thoughts on the future of AI ethics and the challenges and opportunities ahead.
Browse courses on AI Ethics
Show steps
  • Research current trends and developments in AI ethics.
  • Develop a clear and concise thesis statement.
  • Write a well-structured and engaging blog post.
Contribute to Open Source Projects on AI Ethics
Make meaningful contributions to open source projects related to AI ethics, gaining hands-on experience and collaborating with experts.
Browse courses on AI Ethics
Show steps
  • Identify open source projects that align with your interests.
  • Read the documentation and understand the project's goals.
  • Contribute code, documentation, or other resources.

Career center

Learners who complete Artificial Intelligence Ethics in Action will develop knowledge and skills that may be useful to these careers:
AI Policy Analyst
AI Policy Analysts develop and implement policies that govern the use of artificial intelligence. They work with governments and other stakeholders to ensure that AI is used in a responsible and ethical manner. The course, *Artificial Intelligence Ethics in Action*, would be very useful for those interested in working as an AI Policy Analyst because it provides a comprehensive overview of the ethical issues involved in using AI. Additionally, the course will help develop the critical thinking and problem-solving skills that are essential for AI Policy Analysts.
AI Ethics Researcher
AI Ethics Researchers study the ethical implications of using artificial intelligence. They work with a variety of stakeholders to develop ethical guidelines and ensure that AI is used in a responsible manner. The course, *Artificial Intelligence Ethics in Action*, would be very useful for those interested in working as an AI Ethics Researcher because it provides a comprehensive overview of the ethical issues involved in using AI. Additionally, the course will help develop the critical thinking and problem-solving skills that are essential for AI Ethics Researchers.
AI Risk Manager
AI Risk Managers identify and manage risks associated with using artificial intelligence. They work with organizations to develop and implement risk management strategies that protect against the potential harms of AI. The course, *Artificial Intelligence Ethics in Action*, would be very useful for those interested in working as an AI Risk Manager because it provides a comprehensive overview of the ethical issues involved in using AI. Additionally, the course will help develop the critical thinking and problem-solving skills that are essential for AI Risk Managers.
AI Governance Specialist
AI Governance Specialists develop and implement governance frameworks that ensure that AI is used in a responsible and ethical manner. They work with organizations to develop and implement policies, procedures, and practices that promote the responsible use of AI. The course, *Artificial Intelligence Ethics in Action*, would be very useful for those interested in working as an AI Governance Specialist because it provides a comprehensive overview of the ethical issues involved in using AI. Additionally, the course will help develop the critical thinking and problem-solving skills that are essential for AI Governance Specialists.
AI Auditor
AI Auditors assess the ethical and responsible use of artificial intelligence. They work with organizations to identify and mitigate risks associated with using AI. The course, *Artificial Intelligence Ethics in Action*, would be very useful for those interested in working as an AI Auditor because it provides a comprehensive overview of the ethical issues involved in using AI. Additionally, the course will help develop the critical thinking and problem-solving skills that are essential for AI Auditors.
Risk Analyst
Risk Analysts help organizations identify and manage risks. They use data and analysis to assess the likelihood and impact of potential risks. The course, *Artificial Intelligence Ethics in Action*, may be useful for those interested in working as a Risk Analyst because it will teach them how to analyze data and identify ethical issues when using AI. Additionally, the course will help develop problem-solving and critical thinking skills that are essential for Risk Analysts.
Product Manager
Product Managers are responsible for developing and managing products. They work with engineers, designers, and marketers to ensure that products meet the needs of customers. The course, *Artificial Intelligence Ethics in Action*, may be useful for those interested in working as a Product Manager because it addresses the ethical issues involved in product development. Additionally, the course will help develop problem-solving and critical thinking skills that are essential for Product Managers.
Data Scientist
Data Scientists are responsible for collecting, cleaning, and analyzing large amounts of data. They use this data to build models and provide insights that can be used to improve decision-making. The course, *Artificial Intelligence Ethics in Action*, may be useful for those interested in working as a Data Scientist because it explores the ethical implications of using data and AI. Additionally, the course is mostly quantitative and will help build a foundation for data science.
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze data and make predictions. They work in a variety of industries, including finance, consulting, and healthcare. The course, *Artificial Intelligence Ethics in Action*, may be useful for those interested in working as a Quantitative Analyst because it will teach them how to analyze data and identify ethical issues when using AI. Additionally, the course is mostly quantitative and will help develop mathematical and statistical skills.
Data Engineer
Data Engineers design and maintain data pipelines that collect, clean, and store data. They work with a variety of programming languages and technologies to create pipelines that are efficient and reliable. The course, *Artificial Intelligence Ethics in Action*, may be useful for those interested in working as a Data Engineer because it will teach them how to analyze data and identify ethical issues when using AI. Additionally, the course will help develop the programming and problem-solving skills that are essential for Data Engineers.
Machine Learning Engineer
Machine Learning Engineers design, build, and maintain machine learning models. They work with a variety of programming languages and technologies to create models that can be used to solve problems and make decisions. The course, *Artificial Intelligence Ethics in Action*, may be useful for those interested in working as a Machine Learning Engineer because it addresses the ethical issues involved in developing and using machine learning models. Additionally, the course will help develop the programming and problem-solving skills that are essential for Machine Learning Engineers.
Statistician
Statisticians use data to solve problems and make decisions. They work in a variety of industries, including healthcare, finance, and education. The course, *Artificial Intelligence Ethics in Action*, may be useful for those interested in working as a Statistician because it will teach them how to analyze data and identify ethical issues when using AI. Additionally, the course is mostly quantitative and will help build a foundation for statistics.
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with a variety of programming languages and technologies to create software that meets the needs of users. The course, *Artificial Intelligence Ethics in Action*, may be useful for those interested in working as a Software Engineer because it addresses the ethical issues involved in software development. Additionally, the course will help develop problem-solving and critical thinking skills that are essential for Software Engineers.
Data Analyst
A Data Analyst plays a key role in almost every industry as they can use data to gain insight and make better decisions. As part of their role, they must be able to identify patterns, find trends, and predict future outcomes. The course, *Artificial Intelligence Ethics in Action*, may be useful for those interested in working as a Data Analyst because it will teach them how to analyze data and identify ethical issues when using AI. Additionally, the course is mostly quantitative and will help develop data analysis skills.

Reading list

We've selected 13 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 Artificial Intelligence Ethics in Action.
Provides a comprehensive overview of the ethical issues surrounding artificial intelligence, including topics such as fairness, bias, and privacy. It valuable resource for students and researchers in the field of AI ethics.
Provides a clear and concise introduction to the field of artificial intelligence. It covers a wide range of topics, from the history of AI to the latest advances in machine learning.
Explores the ethical issues that arise in the design and use of computational systems. It provides a framework for thinking about the moral implications of AI and offers practical guidance for developers and policymakers.
Examines the problem of aligning the goals of AI systems with human values. It argues that this is one of the most important challenges facing humanity and offers a number of possible solutions.
Save
Provides a comprehensive overview of the safety and security risks associated with AI. It covers topics such as adversarial attacks, data poisoning, and the potential for AI to be used for malicious purposes.
Explores the possible futures of humanity in the age of AI. It discusses topics such as the singularity, the ethics of human enhancement, and the potential for AI to create a new kind of society.
Explores the potential risks and benefits of superintelligence. It argues that superintelligence is one of the most important challenges facing humanity and offers a number of possible strategies for dealing with it.
Examines the global race for AI supremacy. It provides a detailed look at the AI strategies of China and the United States and offers insights into the potential implications of AI for the future of the world.
Explores the history and future of machine learning. It provides a clear and concise explanation of the underlying principles of machine learning and offers insights into the potential applications of machine learning in various fields.
Explores the implications of AI for humanity's future. It argues that AI will have a profound impact on our lives and offers insights into how we can prepare for this future.
Provides a comprehensive overview of the ethical issues surrounding AI. It covers a wide range of topics, from the history of AI ethics to the latest developments in the field.
Provides a comprehensive overview of the ethical issues surrounding AI. It covers a wide range of topics, from the history of AI ethics to the latest developments in the field.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser