# Artificial intelligence accuracy and regulatory challenges > Developing situation record from CLSTR: https://clstr.news/situations/artificial-intelligence-accuracy-and-regulatory-challenges > Updated: 2026-11-02T05:57:26.000Z. Sources: 9. Developments: 2. Research into artificial intelligence hallucinations has identified a historical link to the deliberate use of randomness in early models, which was intended to mimic creative thought but may contribute to modern inaccuracies. Recent studies from Stanford RegLab indicate that advanced legal AI search tools exhibit hallucinations in 17% to 33% of queries. A specific issue identified is “erroneous foundation,” where systems cite real legal precedents but attribute incorrect conclusions or rulings to them. In response to these technical risks, the European Union is implementing the AI Act to mandate transparency, including the labeling of synthetic content. Additionally, the environmental impact of AI infrastructure is facing scrutiny. In Spain, new regulations require large data centers to link electricity consumption to renewable energy sources to ensure water and energy efficiency, though some investors have raised concerns regarding project viability. ## Timeline ### 2026-11-02: Artificial Intelligence faces scrutiny over hallucinations and environmental impact AI technology faces growing scrutiny over legal inaccuracies, such as hallucinations in judicial tools, and the high environmental costs of the data centers required to power generative models. 4 sources. https://clstr.news/cluster/artificial-intelligence-faces-scrutiny-over-hallucinations-and-environmental-impact ### 2026-10-26: AI hallucinations linked to historical use of randomness Historians suggest that AI hallucinations may stem from the deliberate inclusion of randomness in early AI models to foster creativity and unpredictable responses. 5 sources. https://clstr.news/cluster/ai-hallucinations-linked-to-historical-use-of-randomness --- Cite as: Artificial intelligence accuracy and regulatory challenges. CLSTR, https://clstr.news/situations/artificial-intelligence-accuracy-and-regulatory-challenges