AI for Humanity (AIH) International Conference on Innovation, Ethics and Applications: Conference Proceedings 2025 - 26, Department of Computer Science, Government College Kariavattom

This volume presents the official proceedings of the International Conference on AI for Humanity (AIH 2025-26), titled AI for Humanity: International Conference on Innovation, Ethics and Applications, hosted by the Department of Computer Science at Government College Kariavattom.

The book brings together interdisciplinary research addressing the balance between computational innovation and ethical, human-centric deployment.

The proceedings feature seven technical chapters covering key subfields: Mathematical & Theoretical AI: Investigating machine learning, LLMs, and neural networks applied to complex nonlinear differential equations.

Data Architectures & Anomaly Detection: Evaluating scalable credit card fraud detection using autoencoders paired with the DASK framework on large-scale datasets. Ethics & Governance: Reviewing algorithmic bias, privacy, surveillance risks, and emerging global regulatory frameworks.

Molecular Science: Integrating molecular docking, Density Functional Theory (DFT), and AI for drug discovery and materials design. Healthcare Applications: Machine learning approaches for predicting hearing aid gain values, alongside AI-enabled early screening tools for autism in rural healthcare.

Computer Vision: Unpaired video summarization using unsupervised Generative Adversarial Networks (GANs) optimized via Particle Swarm Optimization.