Understanding Algorithmic Bias

What you’ll learn

In this course, students will gain a comprehensive understanding of what algorithmic bias is and how it affects various AI systems. The course covers the 13 most common forms of AI bias, illustrated with real-world examples demonstrating how these biases manifest in different technologies. Students will also have an opportunity to identify different biases in a real example, to highlight the difficulty of spotting and mitigating bias in these everyday tools. Additionally, students will learn 9 effective strategies to reduce biases in AI.

Designed for learners from all backgrounds, this course requires no prerequisites and aims to provide a high-level understanding of AI bias and mitigation techniques. The curriculum includes pre-recorded lectures and a recording of a live lecture by instructor Jeffery Recker where he had open conversations with students. This is accompanied along with quizzes and additional resources to ensure a thorough grasp of the material. With a structured schedule, students can complete the course in about one weeks time.

About the Instructor

Jeffery Recker, Co-Founder and Chief Operating Officer of BABL AI, has a background in social and environment sustainability and is a certified AI Auditor with years of experience in AI Auditing and Responsible AI Consulting.

In the course “Understanding Algorithmic Bias,” he leverages his years of hands on expertise to teach students how to identify, analyze, and mitigate the wide varieties of biases in AI systems.

His leadership and real-world experience ensure that students gain practical skills and knowledge to develop ethical and unbiased AI solutions.

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)

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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

Choose a Pricing Option

Understanding Algorithmic Bias

Gain a comprehensive understanding of what algorithmic bias is and how it affects various AI systems

$99

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Additional qualifying discounts are available

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