Reducing Bias in AI with Open Source

Explore the critical issue of bias in AI and learn strategies to mitigate it through open-source collaboration in this thought-provoking conference talk. Delve into real-world examples of AI bias and its far-reaching consequences in areas such as employment, healthcare, economic development, and law enforcement. Discover how open-source communities can play a pivotal role in promoting diverse training data and cognitive diversity to combat these biases. Gain insights from Abubakar Siddiq Ango of GitLab as he presents strategies for leveraging open-source initiatives to create more equitable AI systems. Participate in an interactive discussion aimed at developing valuable community resources for addressing bias in AI. This session is designed to spark meaningful dialogue and inspire action towards creating more inclusive and fair artificial intelligence technologies.

Reducing Bias in AI with Open Source - Abubakar Siddiq Ango, GitLab