Category: AI Governance

Bridging the AI Governance Talent Gap

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.

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AI Act Under Fire: Urgent Call for Caution in Europe

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.

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AI Governance: Balancing Innovation and Oversight

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.

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US Tech Giants Undermine EU’s AI Governance Efforts

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.

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Empowering Latin America: Shaping AI Governance on Our Terms

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.

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Understanding AI Governance through Magical Realism

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.

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US Senators Reach Agreement to Halt AI Regulations for Five Years

Key US senators have reached an agreement to pause state regulations on artificial intelligence for five years, a move that has garnered support from major tech companies and venture capitalists. The deal, which exempts certain state laws protecting children and musicians, reflects ongoing debates about the balance between innovation and regulation in the AI sector.

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CEOs Urge Caution on AI Legislation in Europe

Top CEOs from Europe are urging the European Commission to reconsider the pace of the AI Act, expressing concerns about its implications for innovation and competitiveness. They advocate for a more measured approach to ensure that regulatory frameworks do not stifle advancements in artificial intelligence.

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EU’s AI Code of Practice Set for Late 2025 Release

The European Commission announced that a code of practice to assist companies in complying with the EU’s artificial intelligence rules may not be issued until the end of 2025, marking a potential delay of over six months. Major companies, including Google and Meta, have called for this delay, citing the absence of the necessary guidelines.

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