Enjoy the best in Certified Ethical Emerging Technologist (CEET) Training

Mutually reinforcing innovations in computing and engineering are catapulting advances in technological production. From blockchain and artificial intelligence (AI) to gene editing and the Internet of Things (IoT), these advances come with tremendous opportunities for improvement in productivity, efficiency, and human well-being. But as scandals increasingly demonstrate, these advances also introduce new and serious risks of conflict and harm.

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Certified Ethical Emerging Technologist (CEET)

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.

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Course 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.
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Target Student

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.

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Course Outline

Lesson 1: 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

Lesson 2: Identifying Ethical Risks

Topic A: Ethical Reason

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

Lesson 3: 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

Lesson 4: Identifying and Mitigating Security Risks

Topic A: What Is Security?

Topic B: Identify Security Risks

Topic C: Security Tradeoffs

Topic D: Mitigate Security Risks

Lesson 5: Identifying and Mitigating Privacy Risks

Topic A: What Is Privacy?

Topic B: Identify Privacy Risks

Topic C: Privacy Tradeoffs

Topic D: Mitigate Privacy Risks

Lesson 6: 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 

Lesson 7: 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 

Lesson 8: Identifying and Mitigating Accountability Risks

Topic A: What Is Accountability?

Topic B: Identify Accountability Risks

Topic C: Accountability Tradeoffs

Topic D: Mitigate Accountability Risks 

Lesson 9: 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 

Lesson 10: 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


To ensure your success in this course, you should have at least a high-level understanding of fundamental AI concepts, including, but not limited to: machine learning, supervised learning, unsupervised learning, artificial neural networks, computer vision, and natural language processing. You can obtain this level of knowledge by taking the CertNexus AIBIZ™ (Exam AIZ-110) course.

You should also have experience working with databases and a high-level programming language such as Python, Java, or C/C++. You can obtain this level of skills and knowledge by taking the following

Logical Operations or comparable course:
• Database Design: A Modern Approach
• Python® Programming: Introduction
• Python® Programming: Advanced

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Get Certified in Ethical Emerging Technologist training

To ensure your success in this course, you should have a genuine interest in ensuring that emerging technologies are ethical, trusted, and inclusive. It may also be helpful if you have an understanding of concepts related to emerging technologies. Practical experience implementing data science, AI, and/or IoT to solve business problems is encouraged but not required. You can obtain the appropriate knowledge of emerging technologies concepts by attending any or all of the following courses:

IoTBIZ™ (Exam IOZ-110)
DSBIZ™ (Exam DSZ-110): Data Science for Business Professionals
AIBIZ™ (Exam AIZ-110)
ETBIZ: Emerging Technology for the Business Professional (Exam ETZ-110)

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