Despite the unprecedented surge, the presence of biases within AI models is a critical concern, perpetuating disparities and ethical dilemmas. In the last years, the scientific community has increasingly focused on understanding and addressing model bias, as evidenced by a significant uptick in research across various disciplines. In this context, we present the second edition of the workshop FAILED. This initiative aims to convene experts and practitioners from diverse backgrounds to explore innovative strategies for rectifying biases and promoting fairness and transparency in AI systems. Join us in this collaborative endeavor and be a part of this transformative journey!