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Detect and Mitigate Ethical Risks
  • Level Foundation
  • Duration 19 hours
  • Course by CertNexus
  • Offered by

About

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.

Modules

Overview

    • 4 Videos
    • 2 Readings
Show info about module content

4 Videos

  • Detect and Mitigate Ethical Risks Course Introduction
  • CEET Specialization Introduction
  • Course Welcome & Success Tips
  • The Importance of Managing Risks

2 Readings

  • Overview
  • Get help and meet other learners. Join your Community!

Risk and Ethics

    • 5 Videos
    • 1 Readings
Show info about module content

5 Videos

  • Risk Management Process
  • Risk Identification
  • Risk Analysis
  • Risk Mitigation
  • Types of Ethical Risk

1 Readings

  • Risk Management Frameworks

Basic Statistics

    • 6 Videos
Show info about module content

6 Videos

  • Distributions
  • Central Tendency
  • Variance and Standard Deviation
  • Skewness and Kurtosis
  • Correlation
  • Probability

Evaluation Metrics

    • 4 Videos
    • 1 Readings
Show info about module content

4 Videos

  • Machine Learning Outcomes
  • Cost Functions
  • Reliability
  • Goodhart's Law

1 Readings

  • Classification Metrics

Evaluate What You've Learned

    • 1 Discussion
    • 1 Assignment
Show info about module content

1 Assignment

  • Analyzing Ethical Risks

1 Discussions

  • Reflect on What You've Learned

Overview

    • 1 Videos
    • 1 Readings
Show info about module content

1 Videos

  • The Importance of Managing Privacy Risks

1 Readings

  • Overview

Sources of Privacy Risks

    • 4 Videos
Show info about module content

4 Videos

  • Private Data
  • First-Party vs. Third-Party Data
  • Secondary Use of Data
  • Combined Data Sources

Identifying Privacy Risks

    • 4 Videos
    • 1 Readings
Show info about module content

4 Videos

  • Identify Personally Identifiable Information (PII)
  • Model Personas
  • Track Customer Data
  • Meet Compliance Requirements

1 Readings

  • Data Protection Policies

Mitigation Strategies for Privacy Risks

    • 4 Videos
Show info about module content

4 Videos

  • Intent and Consent
  • Minimize Private Data Sharing
  • Give the User Choices
  • Minimize Private Data Collection

Toolkit for Managing Privacy Risks

    • 4 Videos
    • 1 Readings
Show info about module content

4 Videos

  • Reinforce Trust
  • Anonymization and Pseudonymization
  • Homomorphic Encryption
  • Zero-Knowledge Protocols

1 Readings

  • Privacy Legislation Sources

Evaluate What You've Learned

    • 1 Videos
    • 1 Discussion
    • 1 Assignment
Show info about module content

1 Assignment

  • Managing Privacy Risks

1 Discussions

  • Reflect on What You've Learned

1 Videos

  • Incorporate Privacy Risk Management in the Lifecycle

Overview

    • 1 Videos
    • 1 Readings
Show info about module content

1 Videos

  • The Importance of Managing Accountability Risks

1 Readings

  • Overview

Sources of Accountability Risks

    • 4 Videos
Show info about module content

4 Videos

  • Use of Third-Party Components
  • Automation Bias
  • Extrajudicial Judgment
  • Lack of Guiding Principles

Identifying Accountability Risks

    • 2 Videos
Show info about module content

2 Videos

  • Recognize Black Box Algorithms
  • Assess the Organization's Governance Structure

Mitigation Strategies for Accountability Risks

    • 6 Videos
    • 1 PeerReview
Show info about module content

1 Peer Review

  • Create a RACI Matrix

6 Videos

  • Document and Distribute Company Policies
  • Document Design Processes
  • Document Auditing Processes
  • Responsibility Assignment Matrix (RAM/RACI)
  • Pilot Testing
  • Collaboration with Data Sharing Partners

Toolkit for Managing Accountability Risks

    • 3 Videos
Show info about module content

3 Videos

  • Algorithmic Impact Assessment (AIA)
  • Data Visualization
  • Dashboard Reporting

Evaluate What You've Learned

    • 1 Videos
    • 1 Discussion
    • 1 Assignment
Show info about module content

1 Assignment

  • Managing Accountability Risks Quiz

1 Discussions

  • Reflect on What You've Learned

1 Videos

  • Incorporate Accountability Risk Management in the Lifecycle

Overview

    • 1 Videos
    • 1 Readings
Show info about module content

1 Videos

  • The Importance of Managing Transparency and Explainability Risks

1 Readings

  • Overview

Sources of Transparency and Explainability Risks

    • 5 Videos
Show info about module content

5 Videos

  • Black Box Systems
  • Self-Learning Models
  • Third-Party Integration
  • Intellectual Property Rights
  • Shadow Banning

Identifying Transparency and Explainability Risks

    • 3 Videos
Show info about module content

3 Videos

  • Explainable AI
  • Identify Algorithmic Decisions
  • Deconstruct Specific Decisions

Mitigation Strategies for Transparency and Explainability Risks

    • 5 Videos
Show info about module content

5 Videos

  • Explain How Systems Work
  • Help Users Seeking Explanations
  • Keep Humans in the Loop
  • Ensure Proper Data Disclosure
  • Be Upfront About Training Data Inadequacies

Toolkit for Managing Transparency and Explainability Risks

    • 2 Videos
    • 1 Lab
Show info about module content

1 Labs

  • Explaining a Decision Tree Using ELI5

2 Videos

  • SHAP and Alibi
  • ELI5, LIME, and What-If

Evaluate What You've Learned

    • 1 Readings
    • 1 Discussion
    • 1 Assignment
Show info about module content

1 Assignment

  • Managing Transparency and Explainability Risks Quiz

1 Discussions

  • Reflect on What You've Learned

1 Readings

  • Incorporate Transparency and Explainability Risk Management in the Lifecycle

Overview

    • 1 Videos
    • 1 Readings
Show info about module content

1 Videos

  • The Importance of Managing Fairness and Non-Discrimination Risks

1 Readings

  • Overview

Sources of Fairness and Non-Discrimination Risks

    • 6 Videos
Show info about module content

6 Videos

  • Implicit Bias
  • Sampling Bias
  • Reinforcement Bias
  • Temporal Bias
  • Overfitting to Training Data
  • Edge Cases and Outliers

Identifying Fairness and Non-Discrimination Risks

    • 3 Videos
Show info about module content

3 Videos

  • Analytical Techniques
  • Analyze Models in Different Environments
  • Persona Modeling

Mitigation Strategies for Fairness and Non-Discrimination Risks

    • 4 Videos
    • 1 Readings
Show info about module content

4 Videos

  • Inclusive Design and Foreseeability
  • STEEPV Analysis
  • Perform User Testing
  • Gather Input from External Stakeholders

1 Readings

  • Pattern Matching vs. Bias

Toolkit for Managing Fairness and Non-Discrimination Risks

    • 3 Videos
    • 1 Readings
Show info about module content

3 Videos

  • Bias and Safety Bounties
  • AI Fairness 360
  • Radioactive Data Tracing

1 Readings

  • AI Fairness 360 Demo

Evaluate What You've Learned

    • 1 Videos
    • 1 Discussion
    • 1 Assignment
Show info about module content

1 Assignment

  • Managing Fairness and Non-Discrimination Risks

1 Discussions

  • Reflect on What You've Learned

1 Videos

  • Incorporate Fairness and Non-Discrimination Risk Management in the Lifecycle

Overview

    • 1 Videos
    • 1 Readings
Show info about module content

1 Videos

  • The Importance of Managing Safety and Security Risks

1 Readings

  • Overview

Sources of Safety and Security Risks

    • 5 Videos
Show info about module content

5 Videos

  • Abnormal System Behavior
  • Adversarial Machine Learning
  • Bad Actors
  • Groupthink and Biases
  • Cyber Attacks

Identifying Safety and Security Risks

    • 6 Videos
Show info about module content

6 Videos

  • Quantitative Risk Analysis
  • Evaluate Training Data and Models
  • Threat Intelligence
  • Threat Modeling
  • Penetration Testing
  • Forensic Analysis

Mitigation Strategies for Safety and Security Risks

    • 5 Videos
Show info about module content

5 Videos

  • Ensure Critical AI Systems Follow Rigorous Standards
  • Establish Baseline System Behavior
  • Designate Rapid Response Teams
  • Protect the Security of Data in Storage
  • Protect the Security of Data in Transit

Toolkit for Managing Safety and Security Risks

    • 5 Videos
Show info about module content

5 Videos

  • Threat and Risk Libraries
  • Threat Modeling and Analysis Tools
  • Attack Simulation Tools
  • Vulnerability Scoring Tools
  • Security Information and Event Management (SIEM)

Evaluate What You've Learned

    • 1 Videos
    • 1 Discussion
    • 1 Assignment
Show info about module content

1 Assignment

  • Managing Safety and Security Risks Quiz

1 Discussions

  • Reflect on What You've Learned

1 Videos

  • Incorporate Safety and Security Risk Management in the Lifecycle

Project

    • 1 PeerReview
Show info about module content

1 Peer Review

  • Algorithmic Impact Assessment (AIA)

Honors Project (Optional)

    • 1 PeerReview
Show info about module content

1 Peer Review

  • Ethical AI Project Plan

Auto Summary

Discover how to detect and mitigate ethical risks in AI and data science with this foundational course by Coursera. Led by experts, you'll learn to assess and manage ethical risks throughout the development lifecycle of data-driven technologies. This 1140-minute course is part of the Certified Ethical Emerging Technologist (CEET) professional certificate, ideal for those looking to ensure ethical practices in tech. Available under Starter and Professional subscription options, it’s perfect for anyone keen on integrating ethical risk management into their skillset.

Renée Cummings
Instructors

Renée Cummings

Jennifer Fischer
Instructors

Jennifer Fischer

Eleanor 'Nell' Watson
Instructors

Eleanor 'Nell' Watson