AI Ethics & Data Security: Navigating the New Workplace Norms 0.2 CPE

This course focuses on ethical challenges and data security issues in AI, preparing professionals to navigate AI's implications in the workplace. Topics include ethical decision-making in AI, combating bias in AI systems, the critical role of data privacy, and strategies for robust data security. 

Instructions:

• Please complete the course and successfully complete the qualified assessment with a minimum of 100% accuracy within one year of course enrolment.
• To retake the course, please refresh your browser and the course will start again.

Instruction before the Final Exam:

• The final exam will test your knowledge of this course.
• You can take it as many times as you want.
• You must have a score of 100% to pass this exam.
• You are required to complete the qualified assessment within one year of the date of purchase or enrolment.
• You must pass this exam to receive continuing education credits.
• You would need to retake the course before attempting the qualified assessment again.
• To redo the course after passing, you would need to reset the course.
• You won't be awarded additional CPE if you re-take the qualified assessment after passing once.
• Please fill in and submit the survey after passing final exam to get CPE and Certificate of Completion.

Prerequisites

Learning Objective

• Discover and understand the ethical guidelines for AI usage, finding a balance between innovation and ethical commitments.
• Identify biases in AI algorithms and devise strategies for fairness and inclusivity.
• Explore and evaluate data protection methods to secure sensitive information in AI-driven settings.

Last updated/reviewed: Sep 16, 2025