Browse AI risks

11 entries

1. 26.01.00 · Risk Category

   Transparency

   "Ability to provide responsible disclosure to those affected by AI systems to understand the outcome"

   From Summary Report: Binary Classification Model for Credit Risk (AIVerify2023)

   Not coded Not coded Not coded

2. 26.02.00 · Risk Category

   Explainability

   "Ability to assess the factors that led to the AI system's decision, its overall behaviour, outcomes, and implications"

   From Summary Report: Binary Classification Model for Credit Risk (AIVerify2023)

   Not coded Not coded Not coded

3. 26.03.00 · Risk Category

   Repeatability / Reproducibility

   "The ability of a system to consistently perform its required functions under stated conditions for a specific period of time, and for an independent party to produce the same results given similar inputs"

   From Summary Report: Binary Classification Model for Credit Risk (AIVerify2023)

   Not coded Not coded Not coded

4. 26.04.00 · Risk Category

   Safety

   "AI should not result in harm to humans (particularly physical harm), and measures should be put in place to mitigate harm"

   From Summary Report: Binary Classification Model for Credit Risk (AIVerify2023)

   Not coded Not coded Not coded

5. 26.05.00 · Risk Category

   Security

   "AI security is the protection of AI systems, their data, and the associated infrastructure from unauthorised access, disclosure, modification, destruction, or disruption. AI systems that can maintain confidentiality, integrity, and availability through protection mechanisms that prevent unauthorized access and use may be said to be secure."

   From Summary Report: Binary Classification Model for Credit Risk (AIVerify2023)

   Not coded Not coded Not coded

6. 26.06.00 · Risk Category

   Robustness

   "AI system should be resilient against attacks and attempts at manipulation by third party malicious actors, and can still function despite unexpected input"

   From Summary Report: Binary Classification Model for Credit Risk (AIVerify2023)

   Not coded Not coded Not coded

7. 26.07.00 · Risk Category

   Fairness

   "AI should not result in unintended and inappropriate discrimination against individuals or groups"

   From Summary Report: Binary Classification Model for Credit Risk (AIVerify2023)

   Not coded Not coded Not coded

8. 26.08.00 · Risk Category

   Data Governance

   "Governing data used in AI systems, including putting in place good governance practices for data quality, lineage, and compliance"

   From Summary Report: Binary Classification Model for Credit Risk (AIVerify2023)

   Not coded Not coded Not coded

9. 26.09.00 · Risk Category

   Accountability

   "AI systems should have organisational structures and actors accountable for the proper functioning of AI systems"

   From Summary Report: Binary Classification Model for Credit Risk (AIVerify2023)

   Not coded Not coded Not coded

10. 26.10.00 · Risk Category

    Human Agency & Oversight

    "Ability to implement appropriate oversight and control measures with humans-in-the-loop at the appropriate juncture"

    From Summary Report: Binary Classification Model for Credit Risk (AIVerify2023)

    Not coded Not coded Not coded

11. 26.11.00 · Risk Category

    Inclusive Growth, Societal & Environmental Well-being

    "This Principle highlights the potential for trustworthy AI to contribute to overall growth and prosperity for all – individuals, society, and the planet – and advance global development objectives"

    From Summary Report: Binary Classification Model for Credit Risk (AIVerify2023)

    Not coded Not coded Not coded

Informational only, not legal advice. Verify every claim against the linked official sources and consult qualified counsel before acting.