Explore the critical field of AI ethics. Understand the challenges and responsibilities in AI development, including bias, fairness, and transparency in AI systems.

Explore AI ethics focusing on principles, fairness, bias reduction, and trust in AI design.

This talk will cover how to appropriately identify and measure model bias and fairness, how to understand potential sources of bias and finally how to mitigate bias.

This course will give you an overview of the concept of transparency and how AI FactSheets can help you achieve transparency tailored to the particular AI model or service.

Learn the fundamentals of AI and machine learning while discovering strategies to deploy AI, ML, and Big Data for business automation and operational excellence.

Explore the impact of AI on business strategy and decision-making for leaders in various industries.

Discover the fundamentals of AI, including neural networks, machine learning, deep learning, and data science. Learn how AI impacts industries in this beginner-friendly course.

Understand the applications of AI in the healthcare sector, including diagnosis, treatment, and patient management.

Understand the key principles of artificial intelligence, including algorithms, applications, and ethical considerations.

Learn the basics of machine learning, deep learning, natural language processing, and computer vision as you try out IBM Watson Studio.

Understand the governance and policy frameworks surrounding AI technologies and their implications for society.

Explore the foundation of AI language models, gain a deep understanding of BERT, GPT, and T5 and their practical applications and even learn how to fine tune such a model yourself.