What is the IEEE CertifAIEd™ AI Ethics Professional?
The official IEEE CertifAIEd™ course for AI Ethics Professionals. Learn to assess AI for bias, accountability, privacy, and transparency.
Live workshops with real-world case studies.
AI regulation is shifting from voluntary guidelines to mandatory law. The IEEE CertifAIEd™ standard provides the most rigorous framework available for assessing algorithmic systems.
Please Note: Your purchase reserves your seat for the course. However, to formally confirm your enrollment, all participants must also submit an eligibility application directly on the official IEEE website.
Final confirmation is contingent upon IEEE approval.
Click here to apply after purchase: https://standards.ieee.org/products-programs/icap/ieee-certifaied/professional-certification/
Preparing For Your Future
Course Details
Join us for an enriching virtual training experience, focusing on AI ethics and assessment in line with IEEE standards. This event is a stepping stone for those aiming to become IEEE CertiAIEd™ Lead Assessors
Engage with a community of AI ethics experts and chart your path toward becoming an IEEE CertifAIEd™ Authorized Assessor.
- Small Groups: Limited to 25 seats
- Accredited Training Provider
- Deep-dive workshops with AI ethics experts
- Get your official IEEE certification
Click to See Full Course Schedule
What You'll Get
How Can Our IEEE CertifAIEd™ AI Ethics Professional Help Your Organization?
01
Ethical Transparency
AI involves explainability, interpretability and traceability of the system, as well as the openness of an organization regarding decisions made using AI. Transparency combats the “black box” phenomenon. Many global policies, regulations, and standards require transparency.
02
Ethical Accountability
For an AI system involves an organization being answerable and liable for the AI system and the consequences of its outcomes. Ethical Accountability is human-centric and intended to keep the human in the loop.
03
Ethical Privacy
Maintaining ethical privacy in AI involves safeguarding an individual’s right to control their data at every stage of the AI system’s lifecycle. This requires that organizations utilize data only with the explicit consent of the concerned individuals, both in terms of the data fed into the system and the results it generates.
04
Ethical Algorithmic Bias
AI focuses on people first. It’s about stopping harmful biases and setting clear rules for what’s acceptable. To keep AI fair, we need to keep an eye on it at all stages, from start to finish, ensuring it stays on the right track.
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