The Handbook for Ethical Data Practices

(DEBIZ™)

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

In today's world, consumers and investors demand more than just innovation - they expect ethical AI to be at the heart of every data-driven decision. With global regulations tightening and trust being the key to revenue, businesses can't afford to fall behind. This course equips professionals to not only recognize ethical risks but to lead with integrity. You'll learn how to go beyond transparency, mastering ethical principles while driving tech solutions that balance ethics and business success. Take the lead in building a responsible, future-proof organization.

Course outcome

By completing this course, individuals gain a comprehensive understanding of key ethical principles related to data privacy, governance, and transparency, critical in the world of big data and AI. Participants learn to navigate legal frameworks, mitigate bias, and assess risks, ensuring responsible and fair use of emerging technologies. The course also emphasizes the importance of business integrity, addressing the social and reputational impacts of data-driven decisions. This foundational knowledge prepares individuals to successfully write the associated certification exam and apply these ethical concepts in real-world business scenarios.

Your new skills

Understanding data privacy and associated privacy models.
Applying ethical principles in business operations.
Accountability in data governance and decision-making.
Transparency and explainability in data and AI systems.
Understanding human-centered values and fairness in data.
Conducting trade-off analysis in technology decisions.
Awareness of data-related laws, such as GDPR and anti-discrimination legislation.
Managing the social and behavioral effects of data use (e.g., disinformation, social proofing).
Recognizing responsible business practices to build trust.
Identifying the impact of data on business reputation.
Mitigating bias in datasets and AI systems.
Identifying and managing data discrimination and disparate impact.
Ensuring data safety and security, including cybersecurity practices.
Understanding the implications of data surveillance.
Understanding AI and data science's impact on business outcomes.

Prerequisites:

Knowledge: Basic Computer Literacy: Ability to navigate operating systems (Windows, macOS, or Linux). Basic knowledge of how websites and web applications function.

Experience: No previous experience in data ethics is needed, but a basic understanding of Artificial Intelligence is advised (AIBIZ and GenAIBIZ courses provide a good foundation)

Hardware: A computer that can access the internet and run a modern internet browser.

Software: Internet browser - the suggested browser is Google Chrome.

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.