Fairness, Accountability, and Transparency (FAT) conference

The Fairness, Accountability, and Transparency (FAT) Conference is a gathering of researchers, practitioners, and policymakers focused on promoting ethical practices in artificial intelligence and machine learning. It addresses issues related to biased algorithms, the need for responsible AI development, and ensuring that automated systems are transparent and accountable for their actions. By sharing research and best practices, participants aim to foster the development of technologies that respect fairness, hold systems accountable for their outcomes, and make decision-making processes clear and understandable to society. This is crucial for building trust in AI systems and their impact on people's lives.