This systematic mapping study evaluates the trustworthiness of large language models (LLMs) in the context of the EU AI Act, highlighting their capabilities and the challenges they face. The research identifies significant gaps in the application of trustworthiness principles across various high-stakes domains, emphasizing the need for further exploration and development.
The EU has rejected calls for a pause in the implementation of the AI Act, maintaining its original timeline despite pressure from various companies and countries. Swedish Prime Minister Ulf Kristersson has publicly criticized the rules as “confusing” and called for a delay, arguing that it could hinder Europe’s technological progress.
The Trump administration is preparing to introduce new restrictions on AI chip exports to Malaysia and Thailand to prevent advanced processors from reaching China. These regulations could create volatility for cyclical tech stocks while allowing US data center operators to continue importing AI chips without significant disruption.
AI governance and data governance are critical for ensuring ethical and reliable AI solutions in modern enterprises. These frameworks help organizations manage data quality, transparency, and accountability, fostering trust in AI-driven initiatives.