Certified Ethical Emerging Technologist (CEET)

Start Date End Date Venue Fees (US $)
31 May 2026 Abu Dhabi, UAE $ 3,900 Register
06 Sept 2026 Istanbul, Turkey $ 4,500 Register
15 Nov 2026 Al-Khobar, KSA $ 4,500 Register

Certified Ethical Emerging Technologist (CEET)

Introduction

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 trade-offs between qualities such as privacy and accuracy, fairness and utility, and safety and accountability. This Certified Ethical Emerging Technologist training 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 this Certified Ethical Emerging Technologist training course's practical, problems based approach, learners will become adept at applying theories, principles, frameworks, and techniques in their own roles and organizations.

Objectives

    In this Certified Ethical Emerging Technologist training 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.

Training Methodology

This is an interactive course. There are open question and answer sessions, regular group exercises and activities, videos, case studies as well as presentations on best practice and the fundamentals of reliability improvement. Participants have the opportunity to share examples from their own experience and work with the facilitator and other participants to develop actions for improvement.

Who Should Attend?

This Certified Ethical Emerging Technologist training 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.

Course Outline

Day 1: Introduction to Ethics of Emerging Technologies

  • What’s at stake

  • Ethics and why it matters

  • Ethical decision-making in practice

  • Causes of ethical failures

Day 2: Identifying Ethical Risks

  • Ethical reasons

  • Stumbling blocks for ethical reasoning

  • Identify ethical risks in product development

  • Tools for identifying ethical risks

  • Use regulations, standards, and human rights to identify ethical risks

Day 3: Ethical Reasoning in Practice

  • Ethical theories

  • Use ethical decision-making frameworks

  • Select options for action

  • Avoid problems in ethical decision-making

Day 4: Identifying and Mitigating Security Risks

  • What is security?

  • Identify security risks

  • Security tradeoffs

  • Mitigate security risks

Day 5: Identifying and Mitigating Privacy Risks

  • What is privacy?

  • Identify privacy risks

  • Privacy tradeoffs

  • Mitigate privacy risks

Identifying and Mitigating Fairness and Bias Risks

  • What are fairness and bias?

  • Identify bias risks

  • Fairness trade-offs

  • Mitigate bias risks

Accreditation

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