Certified Ethical Emerging Technologist (CEET)

What is CEET?

The CertNexus® Certified Ethical Emerging Technologist™ (CEET) is designed for individuals seeking to demonstrate a vendor neutral, cross-industry, and multidisciplinary understanding of applied technology ethics that will enable them to navigate the processes by which ethical integrity may be upheld within emerging data-driven technology fields (such as artificial intelligence (AI)/machine learning, Internet of Things (IoT), and data science).

Why get CEET Certified? Remove Biases It is critical that data is utilized ethically to avoid the perpetuation of biases.

Create Ethical Frameworks

The frameworks that organizations rely on must reconcile the needs of ethical duties and business practicalities.

Detect and Mitigate Risks

Ethical treatment of data requires that ethical risks in the design, development, and deployment of data-driven technologies be identified and mitigated.

Communicte Effectively

Ethical values must be communicated to all stakeholders to ensure buy-in and compliance.

Lead Ethical tams

A commitment to follow ethical practices comes from the top down, with team members engaged and incentivized for continual improvement.

Course Length: 

3 days 

Course Description 

Overview: 

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. 

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. 

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. 

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. 

Prerequisites: 

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) 

Course-specific Technical Requirements 

Hardware: 

For this course, you will need one computer for each student and one for the instructor. Each computer will need the following minimum hardware configurations: 

• 1 gigahertz (GHz) 64-bit (x64) processor. 

• 4 gigabytes (GB) of Random Access Memory (RAM). 

• 32 GB available storage space. 

• Monitor capable of a screen resolution of at least 1,024 × 768 pixels, at least a 256-color display, and a video adapter with at least 4 MB of memory. 

• Bootable DVD-ROM or USB drive. 

• Keyboard and mouse or a compatible pointing device. 

• Fast Ethernet (100 Mb/s) adapter or faster and cabling to connect to the classroom network. 

• IP addresses that do not conflict with other portions of your network. 

• Internet access (contact your local network administrator). 

• (Instructor computer only) A display system to project the instructor's computer screen. 

Software: 

Each computer will need to have the following software installed. Unless otherwise specified, the software should be full licensed versions. 

• Any current version of Microsoft Windows®. 

• Adobe® Acrobat® Reader® or an equivalent PDF viewer. 

• If necessary, software for viewing the course slides. (Instructor machine only.) 

Course Content 

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 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 

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 

Appendix A: Mapping Course Content to Exam CET-110: Certified Ethical Emerging Technologist Certification Objectives