AI Affinity Unraveling Cross Synergies in the NGMA Framework

This plan links the Next Generation of Multidisciplinary Approach (NGMA) Framework to AI ethics, innovation, and the environment. SustainAlign, EthixScan, and InnoMerge are three of our most important methods. These methods help AI projects be more ethical, last longer, and be more creative. Equations in math make everything more balanced. When putting together and organizing AI project data, it's important to think about ethics, the environment, and the best ways to make things. Any AI project can get a score from SustainAlign for how sustainable it is. This number shows how long the project will last by looking at how it will affect the world and how many resources it will use. EthixScan computes the ethical commitment score to assess the ethical nature of AI solutions, taking into account their openness and bias levels. InnoMerge assigns an Innovation Catalyst Score to AI projects that integrate important goals to generate new ones. The final Cross-Synergy score is determined by adding the marks for innovation, ethics, and the environment. We find the best AI project pairs by using a multi-objective optimization method that takes into account limited resources and raises the overall cross-synergy score.