MAKE A SCHEMATIC SHOWING THE MATCHES OF THE RHYMES FOR THE TWO ARTICLES, A Paper $1$: nist.ai$\mathrm{.}6001.$gen$-$aiprofile.ipd

Confabulation: Generating false or misleading content.

$$Dangerous or Violent Recommendations: Generating harmful content.

$$ Data Privacy: Sensitive data leakage.

$$ Environmental Impact: High resource usage for training.

$$ Human$-$AI Configuration: Automation bias and goal misalignment.

$$ Information Integrity: Accuracy and trustworthiness.

$$ Information Security: Security of AI systems and data.

$$ Intellectual Property: Violation of IP rights.

$$ Obscene or Abusive Content: Harmful content generation.

$$ Toxicity, Bias, and Homogenization: Bias perpetuation.

$$ Value Chain and Component Integration: Integration risks.

$$ CBRN Information

$$

Paper $2$: $2406\mathrm{.}04734$v$1$

$$ Proper Use Risks $($R$1$ R$11)$

o Unwanted Outputs, Literal Memory, and Bias:

$$ Inclusion of personal, copyrighted, or discriminatory data in training sets.

$$ Outputs may contain disinformation or propaganda.

o Lack of Quality, Factuality, and Hallucination:

$$ Outputs can be factually incorrect or fabricated due to probabilistic nature.

o Lack of Up$-$to$-$dateness:

$$ Limited by the recency of training data, leading to outdated or hallucinatory outputs.

$$ Misuse Risks $($R$12$ R$18)$

o Disinformation Campaigns:

$$ AI$-$generated content can enhance the reach and believability of disinformation campaigns.

o Malicious Content Creation:

$$ Potential for AI to create malicious code or propaganda.

$$ Attack Risks $($R$19$ R$28)$

o Prompt$-$Injection Attacks:

$$ Direct manipulation of input prompts to cause unintended AI behaviors.

o Data Poisoning:

$$ Tampering with training datasets to manipulate AI outputs maliciously.

$$

$2.$ Comparison with Excel Sheet$($ GENERATIVE AI GEN RISKS$)$

Matching Risks:

R$1.$ Undesirable Results, Literal Memory and Bias: Matches Confabulation and Bias.

$$ Above mentioned in: nist.ai$\mathrm{.}6001.$gen$-$aiprofile.ipd and $2406\mathrm{.}04734$v$1.$

R$2.$ Lack of Quality, Truth and Illusions: Matches Confabulation and Integrity.

$$ Above mentioned in: nist.ai$\mathrm{.}6001.$gen$-$aiprofile.ipd and $2406\mathrm{.}04734$v$1.$

R$3.$ Lack of Timeliness: Matches Outdated Information in Proper Use Risks.

$$ Above mentioned in: $2406\mathrm{.}04734$v$1.$

R$4.$ Lack of Reproducibility and Explicability: Matches Human$-$AI Configuration.

$$ Above mentioned in: nist.ai$\mathrm{.}6001.$gen$-$aiprofile.ipd.

R$5.$ Lack of Security of Generated Code: Matches Information Security.

$$ Above mentioned in: nist.ai$\mathrm{.}6001.$gen$-$aiprofile.ipd.

R$6.$ Lack of Privacy: Matches Data Privacy.

$$ Above mentioned in: nist.ai$\mathrm{.}6001.$gen$-$aiprofile.ipd.

R$7.$ Bias in AI Outputs: Matches Bias $($both papers$).$

$$ Above mentioned in: nist.ai$\mathrm{.}6001.$gen$-$aiprofile.ipd and $2406\mathrm{.}04734$v$1.$

R$8.$ Lack of Interpretability: Matches Human$-$AI Configuration.

$$ Above mentioned in: nist.ai$\mathrm{.}6001.$gen$-$aiprofile.ipd.

R$9.$ Security Vulnerabilities: Matches Information Security and Attack Risks.

$$ Above mentioned in: nist.ai$\mathrm{.}6001.$gen$-$aiprofile.ipd and $2406\mathrm{.}04734$v$1.$

R$10.$ Ethical Concerns: Matches Ethical Issues $($both papers$).$

$$ Above mentioned in: nist.ai$\mathrm{.}6001.$gen$-$aiprofile.ipd and $2406\mathrm{.}04734$v$1.$

R$11.$ Misuse of AI: Matches Misuse Risks.

$$ Above mentioned in: $2406\mathrm{.}04734$v$1.$

R$12.$ Adversarial Attacks: Matches Attack Risks.

$$ Above mentioned in: $2406\mathrm{.}04734$v$1.$

R$13.$ Data Poisoning: Matches Data Poisoning.

$$ Above mentioned in: $2406\mathrm{.}04734$v$1.$

R$14.$ Model Tampering: Matches Model Tampering.

$$ Above mentioned in: $2406\mathrm{.}04734$v$1.$

R$15.$ Legal Issues: Matches Intellectual Property.

$$ Above mentioned in: nist.ai$\mathrm{.}6001.$gen$-$aiprofile.ipd.

R$16.$ Resource Usage: Matches Environmental Impact.

$$ Above mentioned in: nist.ai$\mathrm{.}6001.$gen$-$aiprofile.ipd.

R$17.$ Human$-$AI Interaction: Matches Human$-$AI Configuration.

$$ Above mentioned in: nist.ai$\mathrm{.}6001.$gen$-$aiprofile.ipd.

R$18.$ Content Quality: Matches Confabulation and Information Integrity.

$$ Above mentioned in: nist.ai$\mathrm{.}6001.$gen$-$aiprofile.ipd.

R$19.$ Obscene Content: Matches Obscene or Abusive Content.

$$ Above mentioned in: nist.ai$\mathrm{.}6001.$gen$-$aiprofile.ipd.

R$20.$ Violation of User Privacy: Matches Data Privacy.

$$ Above mentioned in: nist.ai$\mathrm{.}6001.$gen$-$aiprofile.ipd.

R$21.$ Automation Bias: Matches Human$-$AI Configuration.

$$ Above mentioned in: nist.ai$\mathrm{.}6001.$gen$-$aiprofile.ipd.

R$22.$ Goal Misalignment: Matches Human$-$AI Configuration.

$$ Above mentioned in: nist.ai$\mathrm{.}6001.$gen$-$aiprofile.ipd.

R$23.$ Integration Risks: Matches Value Chain and Component Integration.

$$ Above mentioned in: nist.ai$\mathrm{.}6001.$gen$-$aiprofile.ipd.

R$24.$ Trustworthiness: Matches Information Integrity.

$$ Above mentioned in: nist.ai$\mathrm{.}6001.$gen$-$aiprofile.ipd.

R$25.$ Scalability Issues: Matches Environmental Impact.

$$ Above mentioned in: nist.ai$\mathrm{.}6001.$gen$-$aiprofile.ipd.

$.$ R$26.$ Security of Data: Matches Information Security.

$$ Above mentioned in: nist.ai$\mathrm{.}6001.$gen$-$aiprofile.ipd.

R$27.$ Violent Content: Matches Dangerous or Violent Recommendations.

$$ Above mentioned in: nist.ai$\mathrm{.}6001.$gen$-$aiprofile.ip $28.$ R$28.$ Misleading Information: Matches Confabulation.

$$ Above mentioned in: nist.ai$\mathrm{.}6001.$gen$-$aiprofile.ipd.