AI Reference 093
Robotics, Finance & Governance
Wikipedia guided
Primary sources linked
Autonomous Vehicles and AI
Definition
Autonomous-vehicle systems combine sensors, perception, prediction, planning and control. Their safety is a property of the complete system, not a single neural network.
PHYSICAL AI / CLOSED LOOP
What is an autonomous vehicle system?
An autonomous-driving system combines sensors such as cameras, radar or lidar with software for perception, localization, prediction, planning and vehicle control.
What AI does inside the stack
Machine-learning models identify lanes, objects, road signs and other vehicles and may help predict how the scene will change. Planning software then decides a safe path, while control software turns that plan into steering, braking and acceleration commands.
Why one model is not the whole car
Vehicle safety depends on sensor coverage, mapping, redundancy, control, validation and fallback behavior as well as AI perception. A high benchmark score on object detection does not by itself demonstrate safe autonomous driving.
Related terms, defined
These nearby terms are linked because they name distinct concepts that are easy to confuse with this page's subject.
Robotics, Finance & Governance
Industrial Robots and AI
Industrial robots traditionally excel at repeatable structured tasks; AI expands their ability to perceive variable objects, adapt to changing conditions and plan more flexible work.
Robotics, Finance & Governance
AI in Financial Services
Financial institutions use AI for fraud detection, risk analysis, customer service, document processing, research and operational automation, with strong model-risk and governance requirements.
Robotics, Finance & Governance
Asset Tokenization
Asset tokenization represents claims on financial or physical assets as digital tokens on programmable platforms. BIS work treats tokenization as a change in representation, transfer and settlement infrastructure—not as a form of artificial intelligence.
Robotics, Finance & Governance
AI and Tokenized Financial Assets
AI and tokenization are distinct technologies that can interact. AI can support monitoring, compliance, analysis or operational automation around tokenized markets; tokenization itself is a ledger and market-structure technology.
Robotics, Finance & Governance
The NIST AI Risk Management Framework
The NIST AI Risk Management Framework is a voluntary framework organized around governing, mapping, measuring and managing AI risk. NIST's Generative AI Profile extends that framework with risks and suggested actions specific to generative systems.
Reference guide and primary sources
Wikipedia is used here as a terminology and history reference guide. Current model versions, institutional statistics and product-specific claims are also linked to first-party or institutional sources because those details can change faster than encyclopedia articles.