Main Concern

Research into "main concerns" surrounding artificial intelligence (AI) focuses on mitigating risks associated with bias, data quality, and the potential for unintended consequences in various applications, particularly in healthcare and public sectors. Current investigations utilize large foundation models (LFMs), machine learning algorithms (including contrastive learning and deep metric learning), and natural language processing techniques to analyze data, identify biases, and improve model trustworthiness and explainability. Addressing these concerns is crucial for ensuring responsible AI development and deployment, impacting both the ethical implications of AI systems and their practical utility across diverse fields.