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Renée Cummings,
Jennifer Fischer,
and
Eleanor 'Nell' Watson
Data-driven technologies like AI, when designed with ethics in mind, benefit both the business and society at large. But it’s not enough to say you will “be ethical” and expect it to happen. We need tools and techniques to help us assess gaps in our ethical behaviors and to identify and stop threats to our ethical goals. We also need to know where and how to improve our ethical processes across development lifecycles. What we need is a way to manage ethical risk. This third course in the Certified Ethical Emerging Technologist (CEET) professional certificate is designed for learners seeking to detect and mitigate ethical risks in the design, development, and deployment of data-driven technologies. Students will learn the fundamentals of ethical risk analysis, sources of risk, and how to manage different types of risk. Throughout the course, learners will learn strategies for identifying and mitigating risks.
Read more
Data-driven technologies like AI, when designed with ethics in mind, benefit both the business and society at large. But it’s not enough to say you will “be ethical” and expect it to happen. We need tools and techniques to help us assess gaps in our ethical behaviors and to identify and stop threats to our ethical goals. We also need to know where and how to improve our ethical processes across development lifecycles. What we need is a way to manage ethical risk. This third course in the Certified Ethical Emerging Technologist (CEET) professional certificate is designed for learners seeking to detect and mitigate ethical risks in the design, development, and deployment of data-driven technologies. Students will learn the fundamentals of ethical risk analysis, sources of risk, and how to manage different types of risk. Throughout the course, learners will learn strategies for identifying and mitigating risks.
Read more
Data-driven technologies like AI, when designed with ethics in mind, benefit both the business and society at large. But it’s not enough to say you will “be ethical” and expect it to happen. We need tools and techniques to help us assess gaps in our ethical behaviors and to identify and stop threats to our ethical goals. We also need to know where and how to improve our ethical processes across development lifecycles. What we need is a way to manage ethical risk. This third course in the Certified Ethical Emerging Technologist (CEET) professional certificate is designed for learners seeking to detect and mitigate ethical risks in the design, development, and deployment of data-driven technologies. Students will learn the fundamentals of ethical risk analysis, sources of risk, and how to manage different types of risk. Throughout the course, learners will learn strategies for identifying and mitigating risks.
This course is the third of five courses within the Certified Ethical Emerging Technologist (CEET) professional certificate. The preceding courses are titled Promote the Ethical Use of Data-Driven Technologies and Turn Ethical Frameworks into Actionable Steps.
Register for this course and see more details by visiting:
OpenCourser.com/course/fcmhs5/detect
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What's inside
Syllabus
Ethical Risk Analysis Fundamentals
The first module in the course lays the groundwork for some concepts that are fundamental to data-driven technologies like artificial intelligence (AI). As an ethicist, you may not be putting these concepts into practice yourself, but you still need to understand them. That way, you'll be able to make more informed judgments and communicate with other people about how best to detect and mitigate ethical risks.
Read more
Syllabus
Ethical Risk Analysis Fundamentals
The first module in the course lays the groundwork for some concepts that are fundamental to data-driven technologies like artificial intelligence (AI). As an ethicist, you may not be putting these concepts into practice yourself, but you still need to understand them. That way, you'll be able to make more informed judgments and communicate with other people about how best to detect and mitigate ethical risks.
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Focuses on ethical risk analysis, which is vital for ethical decision-making in emerging technology fields
Provides practical tools and techniques for identifying and mitigating ethical risks in data-driven technologies
Explores the ethical implications of AI and other data-driven technologies, promoting responsible innovation
Taught by experienced instructors with expertise in ethics and technology, ensuring high-quality content and guidance
Part of a professional certificate program, offering a comprehensive approach to ethical emerging technologies
Assumes some prior knowledge of data-driven technologies like AI, which may not be suitable for complete beginners
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Reviews summary
Practical ethical risk management for ai
According to learners, this course offers an incredibly relevant and highly practical approach to managing ethical risks in AI and data technologies. Students particularly commend its ability to provide actionable strategies and clear explanations, making complex topics accessible. The practical application scenarios and engaging project work are consistently highlighted as strengths, effectively solidifying understanding. While the course provides a structured framework and comprehensive coverage of risk types like privacy and fairness, some experienced learners found the pace occasionally slow or desired more in-depth technical examples for advanced application.
Complements prior courses in the CEET certificate effectively.
"This course is valuable for understanding the landscape of ethical risks. It offers a solid framework."
"Fantastic course that complements the previous CEET courses. It brings everything together into a practical framework..."
"I found it served its purpose as part of a certificate program well, building on prior knowledge."
Complex ethical concepts are explained clearly and made accessible.
"The concepts are explained clearly, and the practical application scenarios are very helpful."
"The instructors did a great job of making complex topics accessible."
"It breaks down complex ideas like bias and transparency into manageable parts."
The practical projects effectively solidify theoretical understanding.
"The 'Apply What You've Learned' section was a fantastic way to solidify understanding."
"The project work was engaging and truly tested my ability to apply the learned concepts."
"The hands-on activities were the strongest part of the course for me."
Provides actionable strategies for ethical risk management.
"This course is incredibly relevant for anyone working with AI or data science. It provides actionable strategies for identifying and mitigating ethical risks..."
"I was very impressed by the practical scenarios and the way the course connects ethical theory to real-world applications."
"I learned how to use practical tools and strategies that I could apply immediately to my work."
Better for foundational understanding, less technical depth.
"My only minor critique is that some parts felt a bit high-level; I wished for more in-depth technical examples for advanced practitioners."
"I felt the course was too broad. It touched on many types of risks but didn't go deep enough into any of them."
"It's probably great for absolute beginners, but those with some prior ethics background might find parts redundant."
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 Detect and Mitigate Ethical Risks with these
activities:
Review AI concepts prior to the course
Show steps
Review key artificial intelligence concepts, such as supervised learning, unsupervised learning, and reinforcement learning, to reinforce the foundation of your knowledge.
Browse courses on
Artificial Intelligence
Show steps
-
Study notes, textbooks, or articles on AI fundamentals
-
Take practice quizzes or mock tests to self-assess your understanding
-
Review online tutorials or videos to refresh your memory
Review Probability and Statistics
Show steps
Solidify your understanding of probability and statistics, which are essential for understanding ethical risk analysis.
Browse courses on
Probability
Show steps
-
Review core concepts of probability, such as conditional probability and Bayes' theorem.
-
Practice solving problems involving probability distributions, such as the normal distribution.
-
Review statistical inference, including hypothesis testing and confidence intervals.
Review principles of ethical frameworks
Show steps
Review the core concepts and principles of ethical frameworks to strengthen your understanding of the foundation of ethical risk management.
Browse courses on
Ethical Frameworks
Show steps
-
Read the course materials on ethical frameworks.
-
Summarize key principles and concepts in your own words.
-
Reflect on how these principles apply to your own work in data-driven technologies.
12 other activities
Expand to see all activities and additional details
Show all 15 activities
Read "Ethics and Data Science" by Mike Loukides
Show steps
Review the book "Ethics and Data Science" to gain insights from industry experts on addressing ethical challenges in the field of data science and AI.
View
Ethics and Data Science
on Amazon
Show steps
-
Read the book thoroughly, taking notes on key concepts.
-
Summarize the main arguments and recommendations of the authors.
-
Consider the implications of the book's findings for your own work in data-driven technologies.
Study Group on Ethical Risk Assessment
Show steps
Join a study group to discuss and analyze ethical risks with fellow learners.
Browse courses on
Risk Assessment
Show steps
-
Meet regularly to discuss course materials and case studies.
-
Work together to identify and assess ethical risks in real-world scenarios.
-
Provide feedback and support to each other's learning.
Practice ethical decision-making with MIT's AI ethics tutorial
Show steps
Engage with MIT's interactive AI ethics tutorial to develop a deeper understanding of the ethical implications of AI and practice making ethical decisions in AI development.
Browse courses on
AI Ethics
Show steps
-
Explore the interactive scenarios and case studies
-
Analyze ethical dilemmas and consider different perspectives
-
Apply ethical principles to make informed decisions
Ethical Risk Analysis Exercises
Show steps
Develop your ability to identify and analyze ethical risks through guided exercises.
Show steps
-
Work through scenarios to identify potential ethical risks.
-
Analyze the likelihood and impact of each risk.
-
Develop mitigation strategies for identified risks.
Practice ethical risk analysis techniques
Show steps
Engage in guided tutorials to develop practical skills in conducting ethical risk analysis, enabling you to identify and mitigate potential ethical risks effectively.
Show steps
-
Find online tutorials or workshops on ethical risk analysis.
-
Follow the instructions and complete the exercises provided.
-
Apply the techniques you learn to a real-world case study.
Ethical AI Workshop
Show steps
Attend a workshop to gain hands-on experience in applying ethical principles to the development of AI systems.
Browse courses on
Ethical AI
Show steps
-
Participate in discussions on the ethical implications of AI.
-
Work on case studies to develop practical solutions to ethical challenges.
-
Network with other professionals in the field of AI ethics.
Attend industry conferences on data ethics
Show steps
Attend industry conferences and events to connect with professionals in the field of data ethics and learn about best practices.
Browse courses on
Data Ethics
Show steps
-
Research upcoming conferences and events focused on data ethics.
-
Register for the event and prepare to actively participate.
-
Attend sessions and engage in discussions with speakers and attendees.
Ethical Risk Management Plan
Show steps
Create a comprehensive plan to manage ethical risks in the development and deployment of data-driven technologies.
Show steps
-
Identify the potential ethical risks associated with your project.
-
Develop strategies to mitigate these risks.
-
Create a plan for monitoring and evaluating the effectiveness of your risk management strategies.
-
Share your plan with stakeholders for feedback and approval.
Develop an ethical risk management plan
Show steps
Create a comprehensive ethical risk management plan that outlines strategies and measures to address ethical risks in your organization's use of data-driven technologies.
Show steps
-
Identify potential ethical risks associated with your organization's use of data-driven technologies.
-
Develop strategies to mitigate or eliminate these risks.
-
Create a written plan that outlines your strategies and measures.
-
Present your plan to stakeholders for feedback and approval.
Design a mitigation plan for an AI-related ethical risk
Show steps
Develop a comprehensive plan to mitigate potential ethical risks associated with the design, development, or deployment of AI systems.
Show steps
-
Identify and assess potential ethical risks
-
Develop mitigation strategies for each risk
-
Outline implementation steps and timelines
-
Evaluate the effectiveness of the mitigation plan
-
Communicate the plan to stakeholders
Work with ethical AI organizations
Show steps
Volunteer your time to organizations that are dedicated to promoting ethical uses of AI and data-driven technologies.
Browse courses on
Ethical AI
Show steps
-
Identify organizations that align with your interests and values.
-
Contact the organizations and inquire about volunteer opportunities.
-
Attend volunteer training and orientation sessions.
-
Contribute your skills and knowledge to support the organization's mission.
Contribute to open-source projects on ethical AI
Show steps
Contribute to open-source projects that aim to develop and promote ethical AI and responsible data practices.
Browse courses on
Ethical AI
Show steps
-
Identify open-source projects focused on ethical AI.
-
Review the project documentation and familiarize yourself with the codebase.
-
Identify areas where you can contribute your skills and knowledge.
-
Submit pull requests with your contributions and engage with the project community.
Review AI concepts prior to the course
Show steps
Review key artificial intelligence concepts, such as supervised learning, unsupervised learning, and reinforcement learning, to reinforce the foundation of your knowledge.
Browse courses on
Artificial Intelligence
Show steps
Show steps
Show steps
- Study notes, textbooks, or articles on AI fundamentals
- Take practice quizzes or mock tests to self-assess your understanding
- Review online tutorials or videos to refresh your memory
Review Probability and Statistics
Show steps
Solidify your understanding of probability and statistics, which are essential for understanding ethical risk analysis.
Browse courses on
Probability
Show steps
Show steps
Show steps
- Review core concepts of probability, such as conditional probability and Bayes' theorem.
- Practice solving problems involving probability distributions, such as the normal distribution.
- Review statistical inference, including hypothesis testing and confidence intervals.
Review principles of ethical frameworks
Show steps
Review the core concepts and principles of ethical frameworks to strengthen your understanding of the foundation of ethical risk management.
Browse courses on
Ethical Frameworks
Show steps
Show steps
Show steps
- Read the course materials on ethical frameworks.
- Summarize key principles and concepts in your own words.
- Reflect on how these principles apply to your own work in data-driven technologies.
12 other activities
Expand to see all activities and additional details
Show all 15 activities
Read "Ethics and Data Science" by Mike Loukides
Show steps
Review the book "Ethics and Data Science" to gain insights from industry experts on addressing ethical challenges in the field of data science and AI.
View
Ethics and Data Science
on Amazon
Show steps
Show steps
Show steps
- Read the book thoroughly, taking notes on key concepts.
- Summarize the main arguments and recommendations of the authors.
- Consider the implications of the book's findings for your own work in data-driven technologies.
Study Group on Ethical Risk Assessment
Show steps
Join a study group to discuss and analyze ethical risks with fellow learners.
Browse courses on
Risk Assessment
Show steps
Show steps
Show steps
- Meet regularly to discuss course materials and case studies.
- Work together to identify and assess ethical risks in real-world scenarios.
- Provide feedback and support to each other's learning.
Practice ethical decision-making with MIT's AI ethics tutorial
Show steps
Engage with MIT's interactive AI ethics tutorial to develop a deeper understanding of the ethical implications of AI and practice making ethical decisions in AI development.
Browse courses on
AI Ethics
Show steps
Show steps
Show steps
- Explore the interactive scenarios and case studies
- Analyze ethical dilemmas and consider different perspectives
- Apply ethical principles to make informed decisions
Ethical Risk Analysis Exercises
Show steps
Develop your ability to identify and analyze ethical risks through guided exercises.
Show steps
Show steps
Show steps
- Work through scenarios to identify potential ethical risks.
- Analyze the likelihood and impact of each risk.
- Develop mitigation strategies for identified risks.
Practice ethical risk analysis techniques
Show steps
Engage in guided tutorials to develop practical skills in conducting ethical risk analysis, enabling you to identify and mitigate potential ethical risks effectively.
Show steps
Show steps
Show steps
- Find online tutorials or workshops on ethical risk analysis.
- Follow the instructions and complete the exercises provided.
- Apply the techniques you learn to a real-world case study.
Ethical AI Workshop
Show steps
Attend a workshop to gain hands-on experience in applying ethical principles to the development of AI systems.
Browse courses on
Ethical AI
Show steps
Show steps
Show steps
- Participate in discussions on the ethical implications of AI.
- Work on case studies to develop practical solutions to ethical challenges.
- Network with other professionals in the field of AI ethics.
Attend industry conferences on data ethics
Show steps
Attend industry conferences and events to connect with professionals in the field of data ethics and learn about best practices.
Browse courses on
Data Ethics
Show steps
Show steps
Show steps
- Research upcoming conferences and events focused on data ethics.
- Register for the event and prepare to actively participate.
- Attend sessions and engage in discussions with speakers and attendees.
Ethical Risk Management Plan
Show steps
Create a comprehensive plan to manage ethical risks in the development and deployment of data-driven technologies.
Show steps
Show steps
Show steps
- Identify the potential ethical risks associated with your project.
- Develop strategies to mitigate these risks.
- Create a plan for monitoring and evaluating the effectiveness of your risk management strategies.
- Share your plan with stakeholders for feedback and approval.
Develop an ethical risk management plan
Show steps
Create a comprehensive ethical risk management plan that outlines strategies and measures to address ethical risks in your organization's use of data-driven technologies.
Show steps
Show steps
Show steps
- Identify potential ethical risks associated with your organization's use of data-driven technologies.
- Develop strategies to mitigate or eliminate these risks.
- Create a written plan that outlines your strategies and measures.
- Present your plan to stakeholders for feedback and approval.
Design a mitigation plan for an AI-related ethical risk
Show steps
Develop a comprehensive plan to mitigate potential ethical risks associated with the design, development, or deployment of AI systems.
Show steps
Show steps
Show steps
- Identify and assess potential ethical risks
- Develop mitigation strategies for each risk
- Outline implementation steps and timelines
- Evaluate the effectiveness of the mitigation plan
- Communicate the plan to stakeholders
Work with ethical AI organizations
Show steps
Volunteer your time to organizations that are dedicated to promoting ethical uses of AI and data-driven technologies.
Browse courses on
Ethical AI
Show steps
Show steps
Show steps
- Identify organizations that align with your interests and values.
- Contact the organizations and inquire about volunteer opportunities.
- Attend volunteer training and orientation sessions.
- Contribute your skills and knowledge to support the organization's mission.
Contribute to open-source projects on ethical AI
Show steps
Contribute to open-source projects that aim to develop and promote ethical AI and responsible data practices.
Browse courses on
Ethical AI
Show steps
Show steps
Show steps
- Identify open-source projects focused on ethical AI.
- Review the project documentation and familiarize yourself with the codebase.
- Identify areas where you can contribute your skills and knowledge.
- Submit pull requests with your contributions and engage with the project community.
Career center
Learners who complete Detect and Mitigate Ethical Risks will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist uses data-driven technologies to extract insights and make predictions. The course, Detect and Mitigate Ethical Risks, can help build a foundation for success in this role by providing an understanding of the ethical risks involved in data science and how to manage them.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs and builds machine learning models. The course, Detect and Mitigate Ethical Risks, can help build a foundation for success in this role by providing an understanding of the ethical risks involved in machine learning and how to manage them.
Privacy Consultant
Privacy Consultant
A Privacy Consultant advises organizations on how to protect their customers' privacy. The course, Detect and Mitigate Ethical Risks, can help build a foundation for success in this role by providing an understanding of the ethical risks involved in data privacy and how to manage them.
Risk Manager
Risk Manager
A Risk Manager identifies and manages risks for organizations. The course, Detect and Mitigate Ethical Risks, can help build a foundation for success in this role by providing an understanding of the ethical risks involved in risk management and how to manage them.
Artificial Intelligence Engineer
Artificial Intelligence Engineer
An Artificial Intelligence Engineer designs and builds artificial intelligence systems. The course, Detect and Mitigate Ethical Risks, can help build a foundation for success in this role by providing an understanding of the ethical risks involved in artificial intelligence and how to manage them.
Compliance Officer
Compliance Officer
A Compliance Officer ensures that organizations comply with relevant laws and regulations. The course, Detect and Mitigate Ethical Risks, can help build a foundation for success in this role by providing an understanding of the ethical risks involved in compliance and how to manage them.
Corporate Lawyer
Corporate Lawyer
A Corporate Lawyer provides legal advice to corporations. The course, Detect and Mitigate Ethical Risks, may be useful for this role by providing an understanding of the ethical risks involved in corporate law and how to manage them.
Data Analyst
Data Analyst
A Data Analyst analyzes data to identify trends and patterns. The course, Detect and Mitigate Ethical Risks, may be useful for this role by providing an understanding of the ethical risks involved in data analysis and how to manage them.
Auditor
Auditor
An Auditor reviews financial records and reports to ensure that they are accurate and compliant. The course, Detect and Mitigate Ethical Risks, may be useful for this role by providing an understanding of the ethical risks involved in auditing and how to manage them.
Forensic Accountant
Forensic Accountant
A Forensic Accountant investigates financial crimes. The course, Detect and Mitigate Ethical Risks, may be useful for this role by providing an understanding of the ethical risks involved in forensic accounting and how to manage them.
Actuary
Actuary
An Actuary uses mathematics to assess risk and uncertainty. The course, Detect and Mitigate Ethical Risks, may be useful for this role by providing an understanding of the ethical risks involved in actuarial science and how to manage them.
Insurance Underwriter
Insurance Underwriter
An Insurance Underwriter assesses risk and determines insurance premiums. The course, Detect and Mitigate Ethical Risks, may be useful for this role by providing an understanding of the ethical risks involved in insurance underwriting and how to manage them.
Financial Analyst
Financial Analyst
A Financial Analyst analyzes financial data to make investment recommendations. The course, Detect and Mitigate Ethical Risks, may be useful for this role by providing an understanding of the ethical risks involved in financial analysis and how to manage them.
Investment Banker
Investment Banker
An Investment Banker provides financial advice to companies and governments. The course, Detect and Mitigate Ethical Risks, may be useful for this role by providing an understanding of the ethical risks involved in investment banking and how to manage them.
Security Analyst
Security Analyst
A Security Analyst protects organizations from cyber attacks. The course, Detect and Mitigate Ethical Risks, may be useful for this role by providing an understanding of the ethical risks involved in cyber security and how to manage them.
For more career information including salaries, visit:
OpenCourser.com/course/fcmhs5/detect
Reading list
We've selected six 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
Detect and Mitigate Ethical Risks.
Provides a comprehensive overview of the ethical issues surrounding the development and deployment of AI, including privacy, accountability, and bias.
Provides a comprehensive overview of the ethical issues surrounding the development and deployment of AI, with contributions from leading scholars in the field.
Provides a technical introduction to the ethical design of AI algorithms, with a focus on fairness, accountability, and transparency.
This report provides an annual overview of the latest developments in AI, with a focus on the ethical and societal implications of AI.
Save
Provides a non-technical introduction to the ethical issues surrounding the collection, use, and storage of data in the context of AI.
Provides a philosophical exploration of the future of humanity in a world of AI, with a focus on the ethical implications of technological progress.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/fcmhs5/detect
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Effort
7 weeks of study, 2-3 hours per week.
Level
Introductory
Via
Coursera
Institution
CertNexus
Instructors
Renée Cummings
Jennifer Fischer
Eleanor 'Nell' Watson
Language
English
Transcripts
Español
Français
Português
Deutsch
Italiano
中文
العربية
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日本語
हिंदी
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