Technology professionals now face growing demands to identify and mitigate ethical risks to human rights and the environment, as well as to navigate ethical tradeoffs between qualities such as privacy and accuracy, fairness and utility, and safety and accountability. This course provides the tools to identify and manage common ethical risks in the development of emerging data-driven technologies. It distills ethical theory, public regulations, and industry best practices into concrete skills and guidelines needed for the responsible development of digital products and services. By following the course's practical, problems-based approach, learners will become adept at applying theories, principles, frameworks, and techniques in their own roles and organizations.


* Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Learning Objectives

In this course, you will incorporate ethics into data-driven technologies such as AI, IoT, and data science. You will:

Describe general concepts, theories, and challenges related to ethics and emerging technologies.

Identify ethical risks.

Practice ethical reasoning.

Identify and mitigate safety and security risks.

Identify and mitigate privacy risks.

Identify and mitigate fairness and bias risks.

Identify and mitigate transparency and explainability risks.

Identify and mitigate accountability risks.

Build an ethical organization.

Develop ethical systems in technology-focused organizations.

  • Introduction to Ethics of Emerging Technologies

  • Topic A- What's at Stake
    Topic B- Ethics and Why It Matters
    Topic C- Ethical Decision-Making in Practice
    Topic D- Causes of Ethical Failures

  • Identifying Ethical Risks

  • Topic A- Ethical Reasons
    Topic B- Stumbling Blocks for Ethical Reasoning
    Topic C- Identify Ethical Risks in Product Development
    Topic D- Tools for Identifying Ethical Risks
    Topic E- Use Regulations, Standards, and Human Rights to Identify Ethical Risks

  • Ethical Reasoning in Practice

  • Topic A- Ethical Theories
    Topic B- Use Ethical Decision-Making Frameworks
    Topic C- Select Options for Action
    Topic D- Avoid Problems in Ethical Decision-Making

  • Identifying and Mitigating Security Risks

  • Topic A- What Is Security?
    Topic B- Identify Security Risks
    Topic C- Security Tradeoffs
    Topic D- Mitigate Security Risks

  • Identifying and Mitigating Privacy Risks

  • Topic A- What Is Privacy?
    Topic B- Identify Privacy Risks
    Topic C- Privacy Tradeoffs
    Topic D- Mitigate Privacy Risks

  • Identifying and Mitigating Fairness and Bias Risks

  • Topic A- What Are Fairness and Bias?
    Topic B- Identify Bias Risks
    Topic C- Fairness Tradeoffs
    Topic D- Mitigate Bias Risks

  • Identifying and Mitigating Transparency and Explainability Risks

  • Topic A- What Are Transparency and Explainability?
    Topic B- Identify Transparency and Explainability Risks
    Topic C- Transparency and Explainability Tradeoffs
    Topic D- Mitigate Transparency and Explainability Risks

  • Identifying and Mitigating Accountability Risks

  • Topic A- What Is Accountability?
    Topic B- Identify Accountability Risks
    Topic C- Accountability Tradeoffs
    Topic D- Mitigate Accountability Risks

  • Building an Ethical Organization

  • Topic A- What Are Ethical Organizations?
    Topic B- Organizational Purpose
    Topic C- Ethics Awareness
    Topic D- Develop Professional Ethics within Organizations

  • Developing Ethical Systems in Technology-Focused Organizations

  • Topic A- Policy and Compliance
    Topic B- Metrics and Monitoring
    Topic C- Communication and Stakeholder Engagement
    Topic D- Ethical Leadership


This course is designed for technology leaders, solution developers, project managers, organizational decision makers, and other individuals seeking to demonstrate a vendor-neutral, cross-industry understanding of ethics in emerging data-driven technologies, such as AI, robotics, IoT, and data science. This course is also designed for professionals who want to pursue the CertNexus Certification Exam CET-110: Certified Ethical Emerging Technologies.




To ensure your success in this course, you should have a firm understanding of concepts related to emerging technologies, along with some experience in implementing AI, data science, and/or IoT to solve business problems, which you could obtain by taking the following courses: Certified Artificial Intelligence (AI) Practitioner (Exam AIP-110) Certified Internet of Things (IoT) Practitioner (Exam ITP-110) Certified Data Science Practitioner (CDSP) (Exam DSP-110)


Length: 5.0 days (40 hours)


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