Summary of Standardization Trends on Safety and Trustworthiness Technology For Advanced Ai, by Jonghong Jeon
Standardization Trends on Safety and Trustworthiness Technology for Advanced AI
by Jonghong Jeon
First submitted to arxiv on: 29 Oct 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Artificial Intelligence (cs.AI); Software Engineering (cs.SE)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This study explores the rapidly evolving field of Artificial Intelligence (AI), particularly large language models and foundation models that are approaching or surpassing artificial general intelligence. These advancements have led to superior performance in complex problem-solving, natural language processing, and multi-domain tasks, with potential transformations in fields such as science, industry, healthcare, and education. However, concerns arise regarding the safety and trustworthiness of advanced AI, including risks related to uncontrollability, ethical conflicts, long-term socioeconomic impacts, and safety assurance. The study analyzes international trends in standardization for advanced AI, identifies key areas for standardization, proposes future directions and strategies, and draws policy implications. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Artificial Intelligence has made huge progress in recent years! It’s getting better at things like understanding language, recognizing images and videos, programming computers, and even solving complex problems. Some experts think that these advancements could change fields like science, industry, healthcare, and education forever. But with great power comes great responsibility – people are worried about the safety and trustworthiness of advanced AI. For example, what if it gets out of control or causes harm? To address these concerns, scientists are working on developing international standards to ensure that AI is safe and reliable. |
Keywords
* Artificial intelligence * Natural language processing
