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The World of Generative AI: Deepfakes and Large Language Models

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arxiv 2402.04373 v1 pith:EUP3W5UX submitted 2024-02-06 cs.CY cs.CL

Alakananda Mitra , Saraju P. Mohanty , Elias Kougianos This is my paper · ORCID
classification cs.CYcs.CL
keywords languagedeepfakesgenerativemodelsgenailargellmsalarming
verification ladder T0 review T1 audit T2 compute T3 formal
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We live in the era of Generative Artificial Intelligence (GenAI). Deepfakes and Large Language Models (LLMs) are two examples of GenAI. Deepfakes, in particular, pose an alarming threat to society as they are capable of spreading misinformation and changing the truth. LLMs are powerful language models that generate general-purpose language. However due to its generative aspect, it can also be a risk for people if used with ill intentions. The ethical use of these technologies is a big concern. This short article tries to find out the interrelationship between them.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Advanced Applications of Generative AI in Actuarial Science: Case Studies Beyond ChatGPT

    cs.CY 2025-06 unverdicted novelty 5.0 of 10

    Four worked case studies show generative AI can improve claim cost models, automate annual report analysis, classify car damage, and migrate actuarial code, with notebooks on GitHub.

  2. Generative AI for Internet of Things Security: Challenges and Opportunities

    cs.CR 2025-02 conditional novelty 4.0 of 10

    A survey that catalogs 33 GenAI-for-IoT-security works through the MITRE ICS mitigations lens, with three small case studies on adapting LLMs to IoT incident response and security question answering.

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