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Results for "Media Guideline"

Profiling News Media for Factuality and Bias Using LLMs and the Fact-Checking Methodology of Human Experts

arXiv · Jun 14

A new methodology emulating fact-checker criteria assesses news outlet factuality and bias using LLMs. The approach uses prompts based on fact-checking criteria to elicit and aggregate LLM responses for predictions. Experiments demonstrate improvements over baselines, with error analysis on media popularity and region, and a released dataset/code at https://github.com/mbzuai-nlp/llm-media-profiling.

SDAIA issues deepfakes guidelines to regulate responsible AI use - arabnews.jp

SDAIA · May 9

The Saudi Data and AI Authority (SDAIA) has released new guidelines specifically addressing deepfake technologies. These guidelines aim to regulate the responsible use of artificial intelligence across various applications. The initiative underscores Saudi Arabia's commitment to ensuring ethical AI development and deployment within the Kingdom. Why it matters: This move highlights a proactive regulatory stance from a major Middle Eastern AI authority, aiming to build public trust and mitigate risks associated with generative AI technologies.

SDAIA issues deepfakes guidelines to regulate responsible AI use - Arab News PK

SDAIA · May 9

The Saudi Data and Artificial Intelligence Authority (SDAIA) has issued new guidelines specifically addressing deepfakes. These guidelines aim to regulate the responsible use of AI-generated media, focusing on ethical considerations and preventing misuse within the Kingdom. This initiative is part of Saudi Arabia's broader efforts to establish a robust regulatory framework for AI technologies. Why it matters: This step signifies Saudi Arabia's proactive approach to AI governance, addressing emerging ethical challenges like deepfakes and setting a precedent for responsible AI development in the Middle East.