CertNexus CEET Certification Details

Certified Ethical Emerging Technologist

CEET demonstrates a vendor-neutral, cross-industry understanding of applied technology ethics — enabling professionals to uphold ethical integrity in AI, IoT, and data-driven technologies.

Oct 2020 Launch

80 Questions

62% Pass Score

Career Paths with CEET

CEET spans 21 roles across data science, AI, governance, policy, and communications — all professionals navigating ethics in emerging technologies.

Policy & Compliance Officer Data Analyst Data Scientist Data Architect Data Engineer Business Analyst AI Engineer ML Developer Product Manager UX Designer Technology Consultant Data Protection Officer Quality & Risk Lead Software Architect System Administrator Security Analyst Procurement Officer PR/Comms Manager Management Consultant Data Journalist Governance Lead

CET-110 Exam Details

This exam certifies candidates who can apply ethical principles, follow industry frameworks, identify and mitigate risks, and navigate ethical governance in data-driven technologies.

Exam Code

CET-110

Launch Date

October 2020

Duration

120 Minutes

Questions

80 Items

Passing Score

62%

Exam Platform

Pearson VUE

Target Candidate

Individuals seeking to demonstrate a vendor-neutral, cross-industry, and multidisciplinary understanding of applied technology ethics in emerging fields such as AI, IoT, and data science.

Why Get CEET Certified?

As organizations handle vast amounts of data, applying these insights ethically has become critical for building trust and ensuring sustainable, responsible AI.

⚖️

Remove Biases

Critical skills to identify and eliminate biases in data utilization to ensure equitable and fair outcomes.

🏗️

Create Ethical Frameworks

Build frameworks that reconcile ethical duties with business practicalities in your organization.

🔍

Detect & Mitigate Risks

Identify and mitigate ethical risks throughout the design, development, and deployment lifecycle.

📋

Navigate Governance

Develop organizational policies, codes of ethics, and governance structures for responsible technology.

CEET Training

CertNexus CEET training empowers individuals to remove biases, create ethical frameworks, and build organizational buy-in for responsible technology practices.

5-Module Comprehensive Curriculum

72 video classes covering ethical concepts, frameworks, risk management, communication, and governance.

Cross-Industry Applicability

Vendor-neutral content applicable across AI, IoT, data science, and emerging tech sectors.

42 Working Hours

Flexible video package with download access, plus live online class options with recordings.

Pearson VUE Proctored Exam

Sit for the exam in person at Pearson VUE centers or online via Pearson OnVUE proctoring.

Course Modules

Five comprehensive modules covering applied technology ethics from fundamentals through organizational governance.

Identify important concepts for data-driven technology ethics — AI-related, data science, legal, privacy concepts, ethics, bias, and evaluation metrics

Identify and describe common ethical theories — Moral philosophy, Applied ethics

Identify when to conduct an ethical risk review — during ideation, product development, data science lifecycle, and when non-compliance or ethical violation has occurred

Major ethical frameworks — Privacy, Accountability, Safety, Transparency, Fairness, Human Control, Professional Responsibility, Human Values

Applicable regulations, standards, and best practices

Regulatory and business constraints — data minimization, performance vs. explainability, compliance vs. cost, transparency vs. IP rights

Identify and mitigate privacy risks — source, identification methods, mitigation strategies, tools

Identify and mitigate accountability risks

Identify and mitigate transparency and explainability risks

Identify and mitigate fairness/non-discrimination (bias) risks

Identify and mitigate safety and security risks — Security-by-Design practices

Communicate identified ethical risks and business impacts to key stakeholders

Marketing, Public Relations, and brand awareness communications

Media inquiries, corporate reporting, organizational philosophy

Disclosure statements and business incentives

Ethical organizational culture — training, leadership championing, ethics board creation, organizational resourcing

Governance of technology — fair competition, open data, privacy, IP, fairness, human rights, accountability

Developing a code of ethics — stakeholder review, pilot period, ratification process

Developing ethical organizational policy — identify need, draft, consult stakeholders, approve, monitor and refresh

Evaluate internal and external ethical policies — sentiment analysis, surveys, periodic health checks