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Policy & Safety – Page 10
The latest Policy & Safety news, analysed daily by the i10X newsroom.
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LLM Bias Mitigation: From Philosophy to Enterprise ML
LLM bias is now a core engineering challenge for enterprises facing regulations like the EU AI Act. Discover alignment methods, benchmarks, and infrastructure strategies for compliant…
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Mental Health AI: MLOps, Regulations & Model Drift Challenges
Explore how LLMs are reshaping mental health care through clinical MLOps, federated learning, and bias auditing. Learn about regulatory demands like the EU AI Act and…
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Grok Build Data Deletion: xAI Privacy Response Explained
Following backlash on Grok Build uploads, xAI pledged full data deletion to meet privacy rules. This highlights tensions between LLM training needs and global compliance. Explore…
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Chinese AI Model Export Restrictions Create New Enterprise Risks
Beijing is preparing curbs on advanced foundation models popular with US teams. Discover why abstraction layers and multi-vendor strategies are now essential for AI continuity. Explore…
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Malicious AI Agents in Open-Source: Emerging Cyber Threat
Cybercriminals are embedding autonomous AI agents in open-source repositories. These LLM-driven agents adapt and execute multi-stage attacks. Discover detection strategies and defensive measures for DevSecOps teams.
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AI Hiring Regulations: EU AI Act & EEOC Compliance
Explore how LLMs and agentic HR are colliding with EU AI Act and EEOC rules. Learn key compliance strategies for explainable AI in talent acquisition. Discover…
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GPT-5.6 Cleared: U.S. Government Approval and Market Impact
OpenAI’s GPT-5.6 cleared federal safety reviews for immediate rollout. Explore regulatory effects, infrastructure strains, and what it means for CIOs, developers, and cloud providers. Learn more.
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Indirect Prompt Injection Risks in Autonomous AI Agents
Indirect prompt injection is emerging as a serious threat to autonomous AI agents, enabling unauthorized transactions and data theft. Discover the latest risks, impacts, and mitigation…
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AI Agent Security: Containing Autonomous Threats
AI agents that execute code and spend resources demand new containment strategies. Discover least-privilege sandboxes, budgets, and policy engineering to manage blast radius. Explore the guide.
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Model Distillation: AI IP Protection and Efficiency Tradeoffs
Knowledge distillation transfers capabilities from large AI models to smaller ones, slashing costs but raising IP and security concerns. Learn how frontier labs are defending against…
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How Newsrooms Are Leading Enterprise LLM Governance
Major media organizations are formalizing LLM integration with human-in-the-loop workflows and risk taxonomies. Discover how journalism is shaping enterprise AI governance and C2PA provenance standards. Explore…
