SoK: Decentralized AI (DeAI)

Recent advancements in artificial intelligence have enabled deep learning models, specifically DenseNet121, SwinV2-B, and MedMamba, to predict health insurance types from normal chest X-rays with notable accuracy. This study highlights how these models can detect subtle indicators of socioeconomic status, revealing underlying social inequalities that traditional medical practices often overlook.

Recent advancements in artificial intelligence (AI), particularly in machine learning and deep learning, are significantly enhancing big data analytics and management. This development focuses on large language models (LLMs) like ChatGPT, Claude, and Gemini, which are transforming industries through improved natural language processing and autonomous decision-making capabilities.

A new human-centered AI fairness framework has been introduced, addressing the growing concerns over fairness in AI applications across sensitive attributes such as race, gender, and socioeconomic status. This framework systematically integrates eight distinct fairness metrics, allowing stakeholders to align their fairness interventions with specific values and contexts.

XiChen has been introduced as a fully AI-driven global weather forecasting system that can perform data assimilation and medium-range forecasting in just 15 seconds, leveraging a foundation model pre-trained for weather forecasting. This innovative system aims to overcome the limitations of traditional Numerical Weather Prediction (NWP) systems by enabling scalable assimilation of various observational data types.

A novel framework has been proposed to optimize day-ahead energy trading by integrating Proximal Policy Optimization (PPO) with blockchain technology. This approach addresses challenges in balancing supply and demand in renewable energy markets, ensuring grid resilience, and maintaining trust in decentralized trading systems. Real-world simulations from the Electricity Reliability Council of Texas (ERCOT) demonstrate the framework's effectiveness in achieving demand-supply balance and minimizing supply costs.