Category Index
Browse every concept card currently tagged under Risk Identification & Assessment. Use this page to understand how this topic cluster appears across AI governance practice, then open individual concept cards for the details.
AI Risk refers to the unique challenges and uncertainties associated with artificial intelligence systems, which differ significantly from traditional IT risks. While traditional I...
Assessing Materiality of Bias Risks involves evaluating the significance of potential biases in AI systems and their impact on decision-making processes. This concept is crucial in...
Early Cross-Border Risk Indicators refer to metrics and signals that help identify potential risks associated with AI systems operating across different jurisdictions. In AI govern...
Early Risk Signals During Use Case Design refer to the proactive identification of potential risks associated with an AI application during its initial design phase. This concept i...
Likelihood vs Impact in AI governance refers to a risk assessment framework that evaluates potential risks based on two dimensions: the probability of an adverse event occurring (l...
Residual Risk Acceptance for High-Risk AI refers to the process of acknowledging and accepting the remaining risks associated with deploying AI systems after all feasible mitigatio...
Residual Risk Documentation and Sign-Off refers to the formal process of identifying, assessing, and documenting the remaining risks associated with an AI system after all mitigati...
Residual risk refers to the remaining risk after all mitigation measures have been implemented in an AI system. Risk acceptance is the decision to accept this residual risk rather...
Risk Classification as a Governance Decision involves categorizing AI systems based on their potential risks to individuals and society. This classification is critical in AI gover...
Risk Management Expectations for High-Risk AI refer to the structured processes and criteria that organizations must follow to identify, assess, and mitigate risks associated with...
Risk owners are individuals or teams responsible for identifying, assessing, and mitigating risks associated with AI systems. Accountability in risk management ensures that these o...
Risk Taxonomy for AI refers to a structured framework that categorizes potential risks associated with AI systems into distinct areas: Privacy, Bias, Safety, Security, Performance,...
The Risk-Based Governance Lifecycle (Identify, Assess, Treat, Monitor) is a systematic approach in AI governance that focuses on identifying potential risks associated with AI syst...
Risk-Based Prioritisation in Compliance Programs refers to the strategic approach of identifying, assessing, and prioritizing risks associated with AI technologies to ensure that c...
Risk-Based Selection of Governance Models refers to the process of choosing appropriate governance frameworks based on the specific risks associated with AI systems. This approach...
Using Impact Assessments to Inform Go / No-Go Decisions involves systematically evaluating the potential effects of an AI system before its deployment. This process is crucial in A...
The concept of when a use case should be stopped or redesigned refers to the critical evaluation of AI applications to determine if they pose unacceptable risks or ethical concerns...
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