BridgeAI: Assessing and Mitigating Bias and Discrimination in AI | The Alan Turing Institute
Register for the BridgeAI self-paced e-learning course on assessing and mitigating bias in AI with The Alan Turing Institute. Learn about multiclass classification, regression, recommender systems, and clustering tasks to promote AI fairness.
The Alan Turing Institute
About ‘Assessing and Mitigating Bias and Discrimination in AI’
Welcome to ‘Assessing and Mitigating Bias and Discrimination in AI’, a 30-hour self-paced e-learning experience developed and run by The Alan Turing Institute.
This course is different from others because it covers a range of tasks, including regression, multi-class classification, recommender systems, and clustering algorithms. This approach teaches you how to measure and mitigate bias in AI beyond just binary classification, which is a common topic in most courses.
It’s a self-paced and open course, allowing you to learn at your own speed and progress in any order you prefer. This flexibility means that you can focus on the topics that interest you the most and cater to your individual needs.
To access the course materials, all you need to do is register for a free account on the Turing’s platform.
If you are a data scientist or a machine learning practitioner who is concerned about the fairness of your algorithms or want to learn how to measure and mitigate bias in AI beyond binary classification tasks, then this course is for you.
Don’t worry if you’re not an AI expert yet. To get the most out of the course, you should know the basics of linear algebra, machine learning, and programming. You’ll be using Python for the exercises, so a good grasp of the language will help too.
By enrolling in this course, you will gain:
- Comprehensive understanding of assessing and mitigating bias in AI: You will gain a deep understanding of why fairness is crucial in AI, and how to measure and mitigate bias.
- Knowledge of various AI tasks: The course covers a wide range of AI tasks, including multiclass classification, regression, recommender systems, and clustering algorithms. You will gain knowledge on how to approach each task and how to measure and mitigate bias in each scenario.
- Hands-on practice: You will have access to a range of case studies and practical programming exercises to apply your new knowledge. This hands-on practice will help you deepen your understanding of the concepts learned and enable you to implement them in your own work.
By the end of the course, you will be equipped with a solid foundation and practical skills on how to build fair and unbiased algorithms that work for everyone and be able to apply the concepts learned in the course to real-world problems you may meet in your work.
Who is The Alan Turing Institute?
The Alan Turing Institute is the national institute for data science and AI, tackling big challenges in science, society, and the economy through research. The Institute is committed to advancing the world-changing potential of data science and artificial intelligence while promoting ethical and responsible use.