The U.S. Senate recently voted to eliminate a provision that would have prevented states from regulating AI for the next decade, leading to a surge in state-level legislative action on AI-related issues. As Congress struggles to create a unified federal framework, states are stepping in to establish their own regulations, emphasizing transparency and accountability in AI governance.
Texas has recently enacted a law to prohibit algorithmic discrimination by AI systems, holding operators accountable for unfair practices. These regulations could have serious implications for truth, innovation, and individual freedoms.
Meta has announced that it will not be signing the EU AI Act code of practice due to concerns about legal uncertainties and overreach that could hinder AI development in Europe. The company’s chief global affairs officer emphasized that such measures could stifle innovation for European businesses relying on advanced AI models.
A recent report from Trustmarque reveals that while 93% of UK organizations have adopted AI, only 7% have established comprehensive governance frameworks to manage associated risks. This gap highlights the urgent need for organizations to integrate effective governance as AI becomes more embedded in critical business processes.