EU AI Act

What you’ll learn

Introducing our comprehensive certificate program designed for risk and compliance professionals who need to manage a quality management system in compliance with the EU AI Act. This program combines four essential courses to provide a deep dive into the critical aspects of AI risk management and regulatory compliance.

EU AI Act Compliance for High-Risk AI Systems (Starts April 22nd): Gain a thorough understanding of the EU AI Act, focusing on the identification of high-risk AI systems, obligations for developers, strategies for implementing requirements, and achieving conformity through assessments.

Algorithmic Risk & Impact Assessments: Learn to assess the risks and impacts of AI algorithms, ensuring that potential harms are identified and mitigated effectively. This course covers methodologies for conducting assessments and strategies for managing algorithmic risks.

AI Governance & Risk Management: Explore the principles of AI governance and the best practices for managing risks associated with AI systems. This course provides insights into establishing robust governance frameworks and risk management strategies to ensure responsible AI deployment.

Bias, Accuracy, & the Statistics of AI Testing: Delve into the critical issues of bias and accuracy in AI systems, understanding the statistical methods for testing and validating AI models. This course equips participants with the knowledge to address bias and ensure the accuracy of AI systems.

Upon completing this certificate program, participants will be equipped with the skills and knowledge to navigate the complexities of AI risk management and regulatory compliance. They will be prepared to implement and oversee quality management systems that adhere to the EU AI Act, ensuring the ethical and safe deployment of AI technologies. Join this program to become a proficient risk and compliance professional in the rapidly evolving field of AI.

About the Instructor

Shea Brown is the founder and CEO of BABL AI, a research consultancy that focuses on the ethical use and development of artificial intelligence. His research addresses algorithm auditing and bias in machine learning, and he serves as a ForHumanity Fellow that sets standards for the organizational governance of artificial intelligence.

He has a PhD in Astrophysics from the University of Minnesota and is currently an Associate Professor of Instruction in the Department of Physics & Astronomy at the University of Iowa, where he has been recognized for his teaching excellence from the College of Liberal Arts & Sciences.

Curriculum

Introduction

What you'll learn

Course Resources

Week 1 - Foundation

The main modes of working (14:43)

Spotting risks (11:34)

Researching solutions (9:23)

Effective communications (13:02)

Exercise 1: Putting your knowledge to work (5:26)

Specialized tasks

Overview of non-technical tasks (27:22)

Algorithms, AI and learning machines (21:01

Bias testing (21:41)

Exercise 2: Finding your niche

What now? (3:26)

ENROLL NOW

Don’t just take our word for it

Here’s what our graduates have to say…

Thanks to the rigorous program at BABL AI, I am now equipped with the expertise to consult companies and governments on responsible AI. I can guide organizations in building AI products that prioritize fairness, transparency, and explainability.

Additionally, I can assist in sourcing AI products that adhere to responsible AI principles, educate customers about the risks associated with generative and discriminative AI, develop responsible AI governance capabilities, and collaborate with governments to implement responsible AI initiatives. My journey with BABL AI has been a remarkable one.

– Abhinav

Throughout the course, I gleaned a framework for the science, laws and critical thinking behind AI auditing. Dr. Shea Brown and his team provided an excellent balance of theoretical knowledge and practical applications so that I could feel confident in working with a team to identify, analyze and test risks of the systems all around us… BABL AI created a welcoming environment for people regardless of professional background. I felt confident in scaling my knowledge and skills without a science background and also in my lived experience being respected as part of the auditing process.

– Luna

I have done many training programs in the field of AI Ethics and AI Assessments and/or Audits and I can say that the AI and Algorithm Auditor Certificate Program from BABL AI is definitely one of the best on the market. Prof. Shea Brown does an excellent job both as Instructor and Mentor. Shea and the BABL AI team were always kind and helpful. We did a cohort based training as the first movers, I must admit that the cohort was amazing and made the training a great journey but it is also suitable for individuals who can do it on their own, adjusting their pace with their other responsibilities.

– Mert

What I particularly appreciated about this program was its ability to strengthen my understanding in areas where my knowledge was previously relatively limited. The content was not only thoroughly well-balanced, covering both foundational and advanced topics, but also very engaging and interesting. The unique nature of the program really stood out; despite my extensive search for similar courses, none matched the depth and relevance in risk management offered here.

-Tony HibbertAI Governance Expert, ING Bank