Welcome to the Agicademia Concept Vault. This is a curated collection of high-signal frameworks, research, and tools for the 2026 AI landscape.
Agicademia's goal is simple: Bridge the gap between Academic Rigor and Enterprise Implementation.
This is a living document, and we update it regularly to reflect the latest in AI research and development.
These are the global standards for 2026 AI compliance and risk management.
- NIST AI Risk Management Framework (AI RMF 1.0): The "Gold Standard" for mapping, measuring, and managing AI risk.
- ISO/IEC 42001 (AI Management System): The international standard for establishing a defensible AI management system.
- EU AI Act (2024-2026 Compliance): A mandatory roadmap for high-risk AI systems active as of August 2026.
- Google Secure AI Framework (SAIF): A technical framework for securing the AI supply chain and model lifecycle.
Must-read resources for understanding "Agentic Drift" and system alignment.
- International AI Safety Report (Feb 2026): The definitive global synthesis of general-purpose AI risks and safeguards.
- MITRE ATLAS (Adversarial Threat Landscape): A vulnerability matrix specifically for adversarial attacks on AI systems.
- AuditBench (2026): An emerging benchmark for verifiable model alignment and "scheming" detection.
Curricula used by the world's leading AI safety researchers.
- BlueDot Impact: AI Safety Fundamentals: The canonical governance and technical safety track.
- ARENA (Alignment Research Engineer Accelerator): High-intensity engineering curriculum for technical alignment.
- Anthropic Academy: Practical tracks for building with the Model Context Protocol (MCP) and safety-aware APIs.
- 80,000 Hours: AI Safety Career Guide: The ultimate roadmap for making a high-impact career pivot into AI safety.
Tools we use in our Data-Shield Audits and RAI-Ops pipelines.
- Fairlearn: Python library to assess and address unfairness in machine learning.
- Microsoft Presidio: High-performance PII redaction and deanonymization.
- InterpretML: Advanced interpretability for black-box models.
Curated by Vaibhav & Aicademia. Building the future of Protected Data Ready AI-Models.