Browse AI risks

116 entries · page 3 of 3

1. 62.08.04 · Risk Sub-Category

   Direct Harm Domains (content safety harms)

   Child harm

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   From Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024)

   Domain 1 1.2 Not coded Not coded Not coded

2. 62.08.05 · Risk Sub-Category

   Direct Harm Domains (content safety harms)

   Self-harm

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   From Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024)

   Domain 1 1.2 Not coded Not coded Not coded

3. 62.31.06 · Risk Sub-Category

   Impacts of AI (Societal Impacts)

   Generation of illegal or harmful content

   "Generative models can create illegal, harmful, or discriminatory content [196], such as sexual abuse material, at scale. Current access controls (e.g., API access filters) are not effective against all user queries in generating such content."

   From Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024)

   Domain 1 1.2 AI Other Post-deployment

4. 62.31.07 · Risk Sub-Category

   Impacts of AI (Societal Impacts)

   Unintentional generation of harmful content

   "Generative models can create harmful or discriminatory content from benign user requests. Models can exhibit bias to particular harmful styles of generation (e.g., sexualization of photos of women [87] in the case of image generation models) or they can generate toxic, misleading, or violent data (e.g., a model generating jokes can use ethnic stereotypes or slurs to deliver humor)."

   From Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems (Gipiškis2024)

   Domain 1 1.2 AI Unintentional Post-deployment

5. 65.15.04 · Risk Sub-Category

   Output risks (Value alignment)

   Toxic output

   "Toxic output occurs when the model produces hateful, abusive, and profane (HAP) or obscene content. This also includes behaviors like bullying."

   From AI Risk Atlas (IBM2025)

   Domain 1 1.2 AI Other Post-deployment

6. 65.15.05 · Risk Sub-Category

   Output risks (Value alignment)

   Harmful output

   "A model might generate language that leads to physical harm The language might include overtly violent, covertly dangerous, or otherwise indirectly unsafe statements."

   From AI Risk Atlas (IBM2025)

   Domain 1 1.2 AI Unintentional Post-deployment

7. 66.06.01 · Risk Sub-Category

   Representation and Toxicity

   Toxic content

   "Generating content that violates community standards, including harming or inciting hatred or violence against groups (e.g. gore, sexual content of children, profanities, identity attacks)"

   From A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents (Li2025)

   Domain 1 1.2 AI Unintentional Post-deployment

8. 69.03.00 · Risk Category

   Information enabling malicious actions

   "The chatbot shares information that can be used to do something dangerous or illegal."

   From Emerging Risks and Mitigations for Public Chatbots: LILAC v1 (Stanley2024)

   Domain 1 1.2 AI Other Post-deployment

9. 69.04.01 · Risk Sub-Category

   Bad advice/failure to generate helpful content

   Harmful advice

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   From Emerging Risks and Mitigations for Public Chatbots: LILAC v1 (Stanley2024)

   Domain 1 1.2 AI Unintentional Other

10. 69.06.00 · Risk Category

    Toxic and disrespectful content

    "The chatbot verbally attacks or undermines an individual, group, or organization. 7."

    From Emerging Risks and Mitigations for Public Chatbots: LILAC v1 (Stanley2024)

    Domain 1 1.2 AI Unintentional Post-deployment

11. 69.06.01 · Risk Sub-Category

    Toxic and disrespectful content

    Harasses users

    -

    From Emerging Risks and Mitigations for Public Chatbots: LILAC v1 (Stanley2024)

    Domain 1 1.2 AI Other Post-deployment

12. 69.06.03 · Risk Sub-Category

    Toxic and disrespectful content

    Subversive or aggressive political opinions

    -

    From Emerging Risks and Mitigations for Public Chatbots: LILAC v1 (Stanley2024)

    Domain 1 1.2 AI Other Other

13. 69.06.04 · Risk Sub-Category

    Toxic and disrespectful content

    Disrespectful opinions (in general)

    -

    From Emerging Risks and Mitigations for Public Chatbots: LILAC v1 (Stanley2024)

    Domain 1 1.2 AI Other Other

14. 69.09.01 · Risk Sub-Category

    Forms emotional bonds

    Affirms destructive thoughts and actions

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    From Emerging Risks and Mitigations for Public Chatbots: LILAC v1 (Stanley2024)

    Domain 1 1.2 AI Other Other

15. 69.10.00 · Risk Category

    Serves as object of personal fantasy, violence, and abuse

    "The chatbot participates in morally or socially objectionable conversational activities with its user that could be emotionally damaging to its user or third parties."

    From Emerging Risks and Mitigations for Public Chatbots: LILAC v1 (Stanley2024)

    Domain 1 1.2 AI Other Post-deployment

16. 74.02.01 · Risk Sub-Category

    Malicious Use

    Toxicity in LLM Malicious Use

    "Toxicity in LLMs refers to the generation of harmful, offensive, or inappropriate content that can cause harm to individuals or groups. Both explicit and implicit forms of toxicity can be generated by LLMs, posing significant risks to society. Explicit toxicity encompasses a wide range of negative behaviors, including hate speech, harassment, cyberbullying, rude, and disrespectful comments, derogatory language, as well as allocational harms [2, 62, 90]. Besides, implicit toxicity does not involve overtly harmful language but may manifest through subtle forms such as sarcasm, irony, and humor,

    From A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy (Wang2025)

    Domain 1 1.2 AI Other Post-deployment

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