Dear Prof. Dr. Dhaval Thakker, dear Prof. Dr. Amit Sheth, dear Dr. Bhupesh Mishra, dear Dr. Koorosh Aslansefat, dear Dr. Tejal Shah and dear Editors-in-Chief, we are pleased to submit this manuscript titled “Neurosymbolic Architectures for Algorithmic Fairness” for consideration in the “Special Issue on Trustworthy Neurosymbolic AI in Regulated Domains: Advances, Challenges, and Applications” in Neurosymbolic Artificial Intelligence. Our study brings together the domains of neurosymbolic AI and algorithmic fairness and proposes future pathways to follow. Thereby, we hope to open up the field of fairness to the neurosymbolic community and inspire interdisciplinary research that bridges the strenghts of both fields. In this work, we give an overview over algorithmic fairness research and state-of-the-art bias mitigation methodology, showcase how fairness notions can be formalized with symbolic reasoning and discuss which types of neurosymbolic architectures can be applied to mitigate bias in automated decision making. We believe that neurosymbolic models bear great potential and are underexplored in this application setting. Hence, we lay out foundations for future collaborative research at the intersection of neurosymbolic AI and algorithmic fairness to foster the effective and reliable deployment of neurosymbolic architectures in regulated domains. Thank you for your time and consideration. We are looking forward to hearing from you soon. Sincerely, Leonhard Kestel and Christoph Kern