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AI Agents
Systems that use models to plan or execute multi-step tasks through tools, memory, or other agents, including their design, evaluation, and deployment.
Browse articlesAI Evaluation
Methods for testing and measuring AI model or system behavior against defined tasks, quality requirements, and failure conditions.
Browse articlesAI Workflow Adoption
The practical integration of AI into recurring work, including workflow redesign, operating ownership, adoption measurement, and realized outcomes.
Browse articlesAI Governance
Organizational, technical, or policy mechanisms for assigning accountability and controlling AI-related risks and obligations.
Browse articlesAI Security
Threats and protective controls for AI systems, models, data, tools, and their surrounding supply chains.
Browse articlesHuman Oversight
The design and placement of human review, approval, escalation, accountability, and recourse around AI-supported decisions or actions.
Browse articlesMultimodal AI
AI systems that process or generate information across modalities such as text, images, audio, video, and spatial or physical-world signals.
Browse articlesRetrieval and Context Systems
Methods for selecting, assembling, retaining, and supplying evidence or state to AI systems, including retrieval-augmented generation and long-context designs.
Browse articlesOpen-Weight and Local AI
The use and operation of open-weight models and locally or privately run AI, including control, adaptation, licensing, and operational tradeoffs.
Browse articlesAI Inference Economics
The cost, quality, latency, and utilization tradeoffs that shape model serving and the unit economics of AI features.
Browse articlesAI Infrastructure
The compute, hardware, platforms, and operational foundations required to train, serve, and run AI systems at scale or locally.
Browse articlesAI Search and Answer Engines
AI-mediated information discovery, retrieval, synthesis, citation, and its effects on users, publishers, and search workflows.
Browse articlesAI Data Rights and Provenance
The permissions, origins, licensing, consent, retention, and reuse conditions of data used to build or operate AI systems.
Browse articlesEvidence Assessment
Practices for judging the strength, independence, chronology, scope, and uncertainty of claims about AI and its effects.
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