Driving Ethical Innovation in Data and AI

(CEET™)

All our courses are 100% teacher-led by our authorized instructors and include certification exams.
Getting certified, you can also have the possibility to join Be Licensed’s recruitment portal.

Course Overview

This course is designed to equip professionals with the ethical knowledge and practical skills needed to navigate the complexities of emerging technologies like AI, IoT, and data science. Participants will learn how to identify and mitigate ethical risks, implement effective governance strategies, and develop policies that promote transparency, fairness, and accountability. By focusing on real-world scenarios and industry best practices, this course prepares individuals to guide organizations in the responsible use of technology. Upon completion, participants will be ready to demonstrate their expertise and advance their careers in tech ethics.

Course outcome

By completing this course, individuals will gain a comprehensive understanding of ethical principles and frameworks essential for navigating the challenges of emerging technologies such as AI, data science, and IoT. They will learn to assess and mitigate risks related to privacy, bias, transparency, and security while fostering ethical governance and communication within organizations. Additionally, participants will be equipped to develop, implement, and evaluate ethical policies that align with industry standards and legal regulations. This course fully prepares individuals to confidently write the associated exam.

Your new skills

Understanding Fundamental Concepts of Data-Driven Technology Ethics - Grasp foundational concepts related to AI, data science, privacy, and legal aspects.
Knowledge of Ethical Theories - Understanding moral philosophy and applied ethics relevant to emerging technologies.
Conducting Ethical Risk Reviews - Identifying when to perform risk assessments throughout the development lifecycle of AI and data science projects.
Applying Ethical Frameworks - Using major ethical principles like privacy, accountability, and fairness in decision-making processes.
Selecting and Applying Appropriate Ethical Frameworks - Identifying and resolving ethical challenges in real-world scenarios.
Mitigating Privacy Risks - Recognizing and mitigating privacy issues during the implementation of emerging technologies.
Addressing Bias and Discrimination - Identifying and mitigating bias risks to ensure fairness and non-discrimination in AI and data technologies.
Ensuring Transparency and Explainability - Mitigating risks around the clarity and accountability of data-driven decisions and models.
Identifying and Mitigating Safety and Security Risks - Addressing the security risks involved in data-driven technologies, including AI and IoT.
Effective Ethical Communication - Engaging with stakeholders to communicate ethical risks and organizational practices internally and externally.
Fostering Ethical Organizational Culture - Implementing policies, leadership training, and ethics boards to build a culture of ethical integrity.
Developing Organizational Policy and Governance - Shaping policies that govern the ethical use and development of technology, ensuring transparency, fairness, and compliance with legal regulations.
Creating a Code of Ethics - Developing, testing, and refining ethical guidelines within an organization.
Ethical Governance Practices - Establishing procedures and monitoring systems to support ethical governance throughout the organization.
Evaluating the Effectiveness of Ethical Policies - Using methods like sentiment analysis and surveys to measure the success of ethical policies in practice

Prerequisites:

Knowledge:

While there are no formal prerequisites to register for and schedule an exam, we strongly recommend you first possess the following knowledge, skills, and abilities:

Demonstrate an understanding of the fundamental/foundational concepts related to ethics in data-driven technologies.
Identify common ethical principles and frameworks and select the appropriate framework to understand and/or address ethical issues.
Identify regulations, standards, and best practices utilized in the industry and identify the ethical challenges that may conflict with or compromise their implementation.
Identify and mitigate the myriad risks that arise within the development, utilization, and/or implementation of data-driven technologies.
Communicate about ethical risks and ethical practices internally within the organization and externally to relevant third parties.
Create, implement, and evaluate ethical policies and governance regarding data-driven technology throughout the organization.

You can obtain the appropriate knowledge of emerging technologies concepts by attending any or all of the following courses:

IoTBIZ™
DSBIZ™
AIBIZ™
All of the above courses are included in the ETBIZ course

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.

Software:

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

Any current version of Microsoft Windows^®.
Adobe^® Acrobat^® Reader^® or an equivalent PDF viewer.

Access: Internet access - a stable fiber connection of at least 10 Mbps up and down speeds is recommended.

What is included in the price?

Fully led by an authorized instructor.

All materials needed to complete the course are included in the course fee. This includes course literature, exercise assignments and fees for the certification exam.

The course is held remotely in a virtual classroom. All lectures are recorded and are available as reference material for two weeks after course completion.