Policy

Fiscal Information Center releases governance criteria for tax AI applications

The Fiscal Information Center of the Ministry of Finance published three criteria for AI applications at a digital government summit: governability, cost-effectiveness, and controllability. The criteria emphasize configuring environments based on data sensitivity, calculating token and model costs, and establishing human-machine checkpoints and exit mechanisms for AI agents to ensure controlled execution.

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  1. Policy

    US Banks Draft Contingency Plans for AI Agents

    Major US banks are drafting contingency plans for financial risks posed by AI agents. Experts warn that autonomous AI operations without explicit human instructions could cause banks to lose low-cost deposits, threatening the financial system, prompting institutions to update security protocols.

    IT之家

  2. Policy

    Broadcom and Intel Warn Capital Costs Are Biggest Hurdle for AI Infrastructure

    CEOs of Broadcom and Intel stated that high borrowing costs and doubts over ROI are becoming the biggest obstacles to expanding AI data centers. Unlike chip or power shortages, capital liquidity issues cannot be solved by technical breakthroughs alone, potentially impacting advanced AI development.

    T客邦

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    Pennsylvania Signs AI Ad Labeling Law

    Pennsylvania Governor Josh Shapiro signed the AI Deceptive Advertising Act, requiring labels on significantly modified or AI-generated ads. The law covers images, video, audio, and text to ensure transparency for consumers.

    The Verge

  4. Policy

    Researchers Find Privacy Flaw in Meta Muse Chat Sharing

    Security team Claroc discovered a privacy vulnerability in Meta's AI assistant, Muse, allowing researchers to find over 6,800 public shared links via DNS databases. The pages contained financial and corporate sensitive data, prompting Meta to suspend the feature and launch an investigation. The incident highlights security risks in AI service sharing mechanisms.

    IT之家

  5. Policy

    US allocates $389M to power semiconductors for AI

    The US Department of Commerce announced a $389 million allocation under the CHIPS and Science Act to support domestic power semiconductors and critical materials. The move aims to secure supply chains for AI data centers and fusion applications.

    科技新報

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