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 AI Bias

Welcome (1:37)

What is Algorithmic Bias? (4:50)

The Different Kinds of AI Bias

Gender, Racial, and Age Bias (6:24)

Economic, Confirmation and Representation Bias (5:48)

Concept Drift, Privacy and Disability Bias (3:30)

Language, Regional and Recency Bias (4:16)

Culture Bias and More (1:57)

Open Discussion on AI Bias (22:57)

Can you spot the Bias?

Can you spot the Bias? (0:36)

Can you spot the Bias? Part 2 (2:19)

ENROLL NOW

Don’t just take our word for it

Here’s what our graduates have to say…

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 Hibbert – AI Governance Expert, ING Bank

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

While learning, I was impressed by its well-structured design, practical content, and accessible resources. Whether you’re navigating your AI career or pursuing self-education for AI literacy, I highly recommend you enjoy the learning journey. You’ll gain not only AI knowledge and insights but also invaluable advice, confidence, and professional support from the community. The program’s comprehensive approach and engaging materials make it a standout choice for anyone looking to deepen their understanding of AI.

–Kelvin Lou – Tech lawyer, Executive Director of OneCompliance Consulting

The BABL AI & Algorithm Auditor Certification program stands out in the responsible AI field for its practical, community-driven approach. Dr. Brown is an exceptional mentor whose emphasis on first-principles thinking helped me break down complex theoretical and technical concepts into accessible, actionable insights. As someone new to the field, the bi-weekly Q&A sessions were invaluable—providing me the chance to interact with peers and learn from their diverse experiences in a supportive environment. Most importantly, the program transformed me into a confident responsible AI practitioner. I now have the skills to identify AI system risks, audit algorithms, conduct assurance engagements, and guide organizations through AI governance challenges.

–Edward Feldman – Manager at Target

Following through with BABL’s “AI and Algorithm Auditor Certificate Program” has been a great decision and learning experience. I am yet to find another program that puts so much emphasis on a holistic approach for AI Auditing, aiming to connect the dots between areas like bias testing or AI governance. At the same time, the hands-on assignments incentivize one to thoroughly grasp the theoretical content and to apply it to one’s own professional context. Paired with Dr. Shea Brown’s gift for conveying knowledge in an engaging way, the kind support of the BABL team and the welcoming learning community, I recommend this program to technical and non-technical professionals alike who want to dive deeper into AI Auditing.

– Nadine Dammaschk – AI Governance Advisor at GIZ

In today’s AI-driven world, where algorithms are quietly influencing everything from credit decisions to healthcare, being a passive observer is no longer enough. That’s why I chose to embark on the AI and Algorithm Auditor Certification with BABL AI—and it has been a game-changer. It was an eye-opening, mind-expanding experience that equipped me with practical tools to assess, audit, and advocate for responsible AI. From uncovering hidden biases to designing risk mitigation strategies, I now have the confidence to engage with organizations and help them embed fairness, transparency, and accountability deep into their AI systems.

– Asim Butt – AI Ethics/Risk Auditor

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

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

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