On June 22, 2025, Texas Governor Greg Abbott signed the Texas Responsible AI Governance Act (TRAIGA) into law, asserting the state’s right to legislate on consumer protection and AI use. The law aims to promote responsible AI development while safeguarding individuals from associated risks and ensuring transparency in AI interactions.
Meta and Apple are urging the European Union to delay the implementation of its landmark AI Act, citing concerns that the current timeline may hinder innovation and overwhelm businesses. As the world’s first comprehensive AI regulation is set to take effect in August 2025, many companies remain unprepared for compliance, raising fears of stifled growth, particularly for smaller firms.
Despite congressional activity on AI in Colombia, regulation remains unclear and uncertain. More than 20 bills intended to regulate AI have been proposed, but none have been approved as of now.
The rapid evolution of generative artificial intelligence has highlighted a critical vulnerability in the form of a growing talent gap in AI governance. As organizations adopt these technologies, many legal departments find themselves unprepared to manage the associated regulatory, ethical, and operational risks.
The Computer & Communications Industry Association (CCIA Europe) has cautioned EU leaders about the potential risks of implementing the AI Act without a finalized framework, stressing that critical provisions for general-purpose AI models still lack essential guidance. They warn that a rushed rollout could jeopardize the EU’s AI ambitions and hinder innovation in the sector.
Riskonnect has launched its new AI Governance solution, enabling organizations to manage the risks and compliance obligations of AI technologies while fostering innovation. The solution integrates with Riskonnect’s broader risk management suite, helping customers apply a structured methodology for responsible and ethical AI use.
The article discusses how lessons from the Agricultural Revolution can inform corporate governance as generative AI transforms knowledge work. It emphasizes the need for boards to adopt strategic, policy, and programmatic frameworks to effectively manage this technological shift.
The EU AI Act aims to create a comprehensive framework for governing artificial intelligence, with an emphasis on a Code of Practice being developed by various stakeholders. However, leading US companies are lobbying for a diluted version of the Code, which undermines the legitimacy of the process and threatens to prioritize corporate interests over the public good.
Latin America faces a crucial decision on whether to develop AI governance on its own terms or risk becoming a regulatory colony of Silicon Valley and Brussels. Policymakers across the region are realizing that effective AI regulation can not only mitigate risks but also foster innovation and attract responsible investments.
In a thought-provoking discussion at the 20th Internet Governance Forum, Jovan Kurbalija suggested that understanding AI governance may require viewing it through the lens of magical realism, where the extraordinary intertwines with the mundane. He emphasized that just as magical realism comments on societal truths, AI presents new ethical dilemmas that challenge our perceptions of power, identity, and reality.
