#transparency
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Human Rights Experts Must Influence Age Assurance Standards
Mandatory age assurance for social media risks widespread surveillance and rights violations. Human rights experts must engage in technical standards-setting to prevent 'rights-washing' and ensure privacy-preserving design.
Accountability and Transparency in AI Infrastructure Expansion
The Southern Environmental Law Center (SELC) is challenging the rapid, unpermitted deployment of hyperscale data centers, arguing that current regulatory systems are failing to manage the environmental and public health impacts of massive energy and water consumption.
Safeguarding LGBTQ+ Data in State and Local Government
As federal data collection on LGBTQ+ populations shrinks, state and local governments must balance the need for inclusive data to drive equitable policy with robust governance frameworks to prevent the weaponization of sensitive information.
Moving Beyond Operation-Level Oversight for AI Agents
Current AI governance fails because it focuses on individual operation approvals rather than the cumulative outcomes of agentic sequences, creating a dangerous gap between human intent and machine execution.
CRS AI Testing Reveals High Failure Rate for Legislative Summaries
The Congressional Research Service found that less than 3% of AI-generated bill summaries met its quality standards, highlighting the need for specialized models and human-in-the-loop oversight.
Secret Service Mobile Security Failures and Oversight Challenges
A DHS Inspector General report reveals that the Secret Service's reliance on insecure personal devices and poor management of government-issued hardware has created significant security risks for protectees and employees.
Big Tech's Privacy Shield Against DMA Interoperability
Google and Apple are leveraging privacy and security concerns to lobby against EU Digital Markets Act (DMA) requirements that would force them to open their closed ecosystems to third-party AI and search competitors.
Beyond the Human-in-the-Loop: Defining Meaningful AI Governance
The presence of a human reviewer is a procedural step, not a governance framework. Meaningful oversight requires institutional authority, clear escalation paths, and the power to override automated systems.
Private AI Governance is No Substitute for Public Law
Private companies using contractual 'red lines' to govern government AI use are undemocratic, brittle, and ultimately displace the political urgency required for durable, legislated civil liberties protections.
EU Debates Child Safety: Age Limits and Enforcement Challenges
EU lawmakers are pressuring the Commission to harmonize child safety rules and improve enforcement of the Digital Services Act, as member states increasingly adopt fragmented national age-verification measures.
Prioritizing Textual Misinformation in AI Policy
While visual deepfakes capture public attention, research shows AI-generated text is more persuasive and pervasive. Policy must shift toward 'preventive corrective information' to build user resilience.
House Passes Legislation to Mandate SBA AI Oversight and Reporting
The House passed the SBA Artificial Intelligence Utilization Act to mandate annual reporting on agency AI use, following a GAO report that identified chronic noncompliance with existing federal transparency requirements.
OpenAI's Multi-Layered Approach to AI Content Provenance
OpenAI is adopting the EU Code of Practice on Transparency of AI-Generated Content, utilizing a multi-layered strategy that combines C2PA metadata, watermarking, and public verification tools to improve digital content transparency.
Scaling AI Content Provenance via C2PA and SynthID
OpenAI is adopting a multi-layered provenance strategy by combining C2PA metadata standards with Google's SynthID watermarking to ensure AI-generated content remains identifiable even after file transformations.
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