Cognitive Load
Cognitive load describes how much working memory an interface demands; reducing unnecessary load helps users finish tasks faster and with fewer errors.

THE TECHNICAL LANGUAGE OF DIGITAL B2B INFRASTRUCTURE
A control requiring an authorized person to approve a proposed decision or action before a system executes it.
Human approval places accountability for consequential automated actions with a named person, which reduces the risk of costly errors and supports regulatory expectations for human oversight of AI systems.
An AI agent drafts refunds for support tickets. Refunds under $50 run automatically, while larger ones enter an approval queue where a supervisor reviews the case, approves or rejects it, and the decision is logged with a timestamp.
Approval steps can become rubber-stamping when reviewers face high volume or trust the system too much, a pattern known as automation bias. Approval without enough context, time or authority to reject gives little real protection.
A human approval gate pauses execution at a defined point, presents the proposed action with supporting evidence, and resumes only after an authorized reviewer accepts, edits or rejects it. Thresholds based on risk, value or uncertainty decide which actions require review. Effective designs record who approved what and when, enforce permissions in the system rather than in prompts, and let reviewers stop or override the system.
AI Governance, Cybersecurity
EU Artificial Intelligence Act — Article 14: Human Oversight — https://artificialintelligenceact.eu/article/14/; OWASP Gen AI Security Project — LLM06:2025 Excessive Agency — https://genai.owasp.org/llmrisk/llm062025-excessive-agency/
Cognitive load describes how much working memory an interface demands; reducing unnecessary load helps users finish tasks faster and with fewer errors.
Conversational AI combines language understanding, dialogue management and response generation, often with speech recognition, to hold conversations.
An HTML attribute signaling language and regional page variations to search engines for localized search results delivery.
A system design pairing algorithmic automation with mandatory human intervention for edge cases and critical decisions.
The situational cues, internal needs, and buying contexts that prompt purchasers to recall specific product categories and brands.