Detect and Mitigate Ethical Risks from Coursera

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.

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.

Manage Privacy Risks

This module begins a series of modules in which you'll manage the many different types of ethical risks involved in data-driven technologies. First, you'll learn more about the risks to users' privacy and private data.

Manage Accountability Risks

This module continues the series of modules in which you'll manage the many different types of ethical risks involved in data-driven technologies. Now, you'll tackle the risks to the organization's accountability.

Manage Transparency and Explainability Risks

This is the next module in the ongoing series of modules in which you'll manage the many different types of ethical risks involved in data-driven technologies. Next up are the related concepts of transparency and explainability.

Manage Fairness and Non-Discrimination Risks

This is the penultimate module in the ongoing series of modules in which you'll manage the many different types of ethical risks involved in data-driven technologies. Here, you'll focus on managing risks to fairness and non-discrimination (bias).

Manage Safety and Security Risks

This is the final module in the series of modules in which you'll manage the many different types of ethical risks involved in data-driven technologies. Lastly, you'll address risks to both safety and security.

Apply What You've Learned

You'll work on one or more projects in which you'll apply your knowledge of the material in this course to practical scenarios.

Good to know

Know what's good

, what to watch for

, 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

Reviews summary

Ethics detection course

Learners say this course does a good job of practical, relevant instruction in detecting, mitigating ethical risks. The course is well-received despite some learners having difficulty with the video content.

Focus on practical risk mitigation

"very apt course on detecting and mitigating Ethical Risks "

"This course so useful for me to learning new skill about ethical AI,Engineering"

Hands-on instruction

"Very useful, very hands-on. "

"Excellent course with real-time examples."

Mixed reviews on video content

"The videos are obviously read from a script, and some look very much like a "welcome to jail" presentation."

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

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Review key artificial intelligence concepts, such as supervised learning, unsupervised learning, and reinforcement learning, to reinforce the foundation of your knowledge.

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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

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Solidify your understanding of probability and statistics, which are essential for understanding ethical risk analysis.

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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

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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

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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

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Read "Ethics and Data Science" by Mike Loukides

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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

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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

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Join a study group to discuss and analyze ethical risks with fellow learners.

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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

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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

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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

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Develop your ability to identify and analyze ethical risks through guided exercises.

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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

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Engage in guided tutorials to develop practical skills in conducting ethical risk analysis, enabling you to identify and mitigate potential ethical risks effectively.

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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

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Attend a workshop to gain hands-on experience in applying ethical principles to the development of AI systems.

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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

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Attend industry conferences and events to connect with professionals in the field of data ethics and learn about best practices.

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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

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Create a comprehensive plan to manage ethical risks in the development and deployment of data-driven technologies.

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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

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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.

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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

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Develop a comprehensive plan to mitigate potential ethical risks associated with the design, development, or deployment of AI systems.

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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

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Volunteer your time to organizations that are dedicated to promoting ethical uses of AI and data-driven technologies.

Browse courses on Ethical AI

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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

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Contribute to open-source projects that aim to develop and promote ethical AI and responsible data practices.

Browse courses on Ethical AI

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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

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Machine Learning Engineer

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.

See salaries and explore the career path for Privacy Consultant

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.

See salaries and explore the career path for Risk Manager

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.

See salaries and explore the career path for Compliance Officer

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.

See salaries and explore the career path for Artificial Intelligence Engineer

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.

See salaries and explore the career path for Data Analyst

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.

See salaries and explore the career path for Auditor

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.

See salaries and explore the career path for Forensic Accountant

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.

See salaries and explore the career path for Security Analyst

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.

See salaries and explore the career path for Insurance Underwriter

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.

See salaries and explore the career path for Corporate Lawyer

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.

See salaries and explore the career path for Financial Analyst

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.

See salaries and explore the career path for Actuary

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.

See salaries and explore the career path for Investment Banker