AI terminology of the week, circa Mar 2026
Terms Related to AI and Agents
A/B Testing
AGI (Artificial General Intelligence)
AGI Acceleration
AI Accelerators
AI Affordances
AI Cognitive Pattern
AI Cognitive Spirit
AI Command Palette
AI Companion
AI Copiloting
AI Feature Design
AI Governance
AI Leading States
AI Literacy
AI Models
AI Partner
AI Product Design
AI Product Management
AI Prompting
AI Safety
AI Strategy
AI Suggestions Patterns
AI Watermarking
AI Wireframing
AI as Assistant
AI as Collaborator
AI as Creative Partner
AI as Infrastructure
AI as Medium
AI as Mirror
AI as Substrate
AI as Tool
AI as Toy
AI as Utility
AI-Augmented Design
AI-Generated Content Detection
AI-Native Design
AI-Powered Search
API (Application Programming Interface)
ASI (Artificial Superintelligence)
Accepted/Reject Flow
Adaptive UI
Adversarial Examples
Agent
Agent Builders
Agents Loop
Alignment
Ambient AI
Appropriateness Reliance
Assistance
Automation
Automation Spectrum
Autonomous Agent
Autonomous Vehicle
Autopilot Mode
BMOA (Biggest Method of AI-Driven Development)
Bias & Fairness
Black Box
Browser Use
C2PA (Coalition for Content Provenance and Authenticity)
CV (Computer Vision)
Capability Elicitation
Career Modalities
Chain of Thought
Client AI
Cloud AI
Cognitive Load
Cognitive Offloading
Collaboration
Compute Use
Computer Use
Conscience
Consent
Considerate Display
Content Models
Content Moderation
Context
Control
Copilot Mode
DL (deep learning)
DL Engines
Data Labeling
Data Poisoning
Data Privacy
Dataset Bias
Dataset Curation
Design Automation
Design Education
Design for AI
Design for AI/AGI
Digital Provenance
Digital Twin
EUI/AI
Embedded AI
Embodied AI
Emergent Capabilities
Empathy with AI
Ethics
Evaluation
Explainable AI
Fairness Metrics
Fake News
Few-Shot Prompting
Fine-Tuning
Foundation Model
Free Speech
GOFAI (Good Old-Fashioned AI)
GenAI Interns
Generative AI
Generative Design
Grounding
Hallucination
Harness
Human in the Loop
Human-Centered AI
Human-on-the-Loop
Image Generation
Image-to-Image
Image-to-Text
Inference Efficiency
Inference Engine
Intent Classification
Intent Detection
Interface
JSON Mode
Justifiable Risk
LLM (Large Language Model)
LLMOps (Large Language Model Operations)
LLMs (Large Language Models)
Latency of Computation
Latency of Response
Meta-Prompt
Meta-Prompting
Model Drift
Model Hallucination
Model Misuse
Model Poisoning
Model Training
Model Use
Multi-modal
Multi-modal Interface
NLP (Natural Language Processing)
NSAI (Neural Symbolic AI)
NSFW Filter
Open Source
Open Source AI
PEFT (Parameter Efficient Fine-Tuning)
Personalization
Personalized AI
Plan Mode
Plans/Planning
Post-Training
Pre-Training
Predictive UI
Proactive AI
Proactive AI DESIGN
Progress Disclosure
Prompt
Prompt Chaining
Prompt Debugging
Prompt Design
Prompt Engineering
Prompt Evaluation
Prompt Injection
Prompt Injection Mitigation
Prompt Libraries
Prompt Literacy
Prompt Template
Prompt Versioning
Prompting
Push vs Pull
RAI (Responsible AI)
RAS (Retrieval Augmented Generation)
RLF
RLHF (Reinforcement Learning from Human Feedback)
Recommendation Engine
Reinforced Learning
Reinforcement Learning
Response/AI
Roles & Tone
Rules
Safety Filters
Semantic Search
Shadows Mode
Silicon Use
Speculative Design for AI
Speech
Stochastic Prompt
Streaming Text Effect
Structure
Subagents
Subtasks
Supervised Learning
Supervision & Oversight
Symbolic AI
Synthetic Data
Synthetic Users
System Prompt
Task Delegation
Taxonomy of Agents
Temperature
Text-to-3D
Text-to-Code
Text-to-Image
Text-to-Speech
Text-to-Video
Throughput
Tokens
Tool Use
Top-k Sampling
Toxicity Detection
Training
Transfer Learning
Transformer
Transparency
Trust
Trust Calibration
Unlabeled/Raw AI
Unsupervised Learning
Usability
Vector Search
Voice
Voice Interface
Voice Language Model
Voice Recognition
Weights
Workflow Automation
Workflows
Zero-Shot Prompting