Amidst a rising tide of AI-related incidents and a scarcity of standardized Responsible AI (RAI) evaluations among major industrial model developers, global efforts to establish comprehensive AI governance frameworks have accelerated in 2025. Following the release of frameworks by prominent bodies such as the OECD, EU, U.N., and African Union in 2024 emphasizing core RAI principles, the EU AI Act exemplifies a growing trend towards AI-specific regulations that classify AI systems based on risk and mandate human oversight, influencing policies globally. The industry is rapidly shifting towards "explainability by design" principles, integrating transparency directly into AI models to foster user trust and understanding of algorithmic decision-making processes. The emergence of automated AI compliance tools and evolving legal challenges concerning AI-generated content (including copyright infringement and misinformation) further underscore the collective global recognition that responsible development and deployment are paramount for AI's societal benefits, necessitating continuous, adaptive regulation and robust ethical integration throughout the AI lifecycle.