A class of cryptographic algorithms designed to identify and mitigate biases in algorithmic decision-making processes. ABM employs fairness metrics and corrective measures to ensure that algorithms operate equitably across diverse populations. Self-Configuring Systems (SCS) Systems that can automatically detect and correct its own errors without human intervention. SHC utilizes machine learning to adapt and optimize their processes, leading to increased efficiency over time. Intergalactic Data Transfer Protocol (IDTP) A theoretical framework