Regulatory Regime

Regulatory regimes for artificial intelligence (AI) aim to mitigate risks associated with AI systems while fostering innovation. Current research emphasizes a shift from solely model-centric approaches to a more data-centric and holistic perspective, considering factors like dataset size and quality, alongside model architecture. This focus on accountability, transparency, and explainability is crucial for building trust and ensuring responsible AI development and deployment across various sectors, including finance, healthcare, and energy. The ultimate goal is to establish effective, adaptable regulatory frameworks that balance safety and innovation.