← Back to AI Lifecycle Risk

01 · LIFECYCLE STAGE

Inception

Establishes the project's goals and direction. This stage performs business and mission analysis, gathers stakeholder needs and completes the system requirements definition, laying the foundation for subsequent design. Assumptions and biases formed here persist throughout the entire system lifecycle.

25 scenarios

RS1-T01-S0001-Z

High-Risk System Not Formally Registered

RS7-T23-S0019-Z

Intensifying International Technology Competition

RS1-T01-S0002-Z

Insufficient Regulatory Compliance Preparation

RS1-T01-S0003-Z

Missing Personal Data Impact Assessment

RS1-T01-S0005-Z

Unclear Liability When Harm Occurs

RS1-T01-S0006-Z

Technology Outpacing Regulatory Capacity

RS1-T01-S0007-Z

Regulatory Gaps in Specific Sectors

RS1-T02-S0008-Z

Grey Areas in Value-Chain Responsibility

RS1-T02-S0010-Z

Failure of Pre-Deployment Due Diligence

RS1-T02-S0011-Z

Broken Accountability Along the Supply Chain

RS1-T03-S0012-Z

No Planned AI Disclosure Mechanism

RS1-T03-S0013-Z

Supplier Opacity Preventing Risk Assessment

RS7-T23-S0015-Z

Large-Scale Displacement of Employment

RS7-T23-S0020-Z

Market Competition Eroding Safety Standards

RS7-T23-S0021-Z

Global Gap in Research Capability

RS7-T23-S0022-Z

Imbalanced Labor Conditions in Data Annotation

RS1-T01-S0004-Z

Conflicting Cross-Border Regulatory Requirements

RS1-T02-S0009-Z

Absence of AI Governance Structure

RS1-T03-S0014-Z

Third-Party Service Provider Risk

RS7-T23-S0016-Z

Concentration of Technology and Compute

RS7-T23-S0017-Z

Digital Divide Widening Existing Inequality

RS7-T23-S0018-Z

Economic Disruption of Creative Industries

RS7-T24-S0023-Z

Carbon Emissions from Model Training

RS7-T24-S0024-Z

Water Consumption by Data Centers

RS7-T24-S0025-Z

Environmental Impact of Critical Mineral Extraction