大型语言模型可以帮助提高粮食生产,但要注意它们的风险
Djavan De Clercq1, Elias Nehring2, Harry Mayne1
1Oxford Internet Institute, University of Oxford, Oxford, United Kingdom.
Frontiers in artificial intelligence
|November 11, 2024
概括
大型语言模型 (LLM) 提供了农业机会,但也带来了错误信息和就业威胁等风险. 政策制定者需要框架,以便在食品生产中负责任地采用LLM.
科学领域:
- 农业科学 农业科学
- 技术与创新 技术与创新
- 公共政策 公共政策
背景情况:
- 媒体对大型语言模型 (LLM) 的报道强调了数学和医学方面的成就.
- 在农业中采用LLMs获得了有限的公众关注.
- 农业是一个关键的全球产业,影响着所有人的生活.
研究的目的:
- 检查食品生产系统中广泛采用大型语言模型的风险和机会.
- 告知农业政策制定者关于LLM整合的影响.
主要方法:
- 这篇视角论文分析了当前农业LLMs的格局.
- 它确定了与使用相关的潜在好处和挑战.
- 该研究强调需要积极主动地制定政策.
主要成果:
- 法律法规可以提高农业效率,促进创新,并支持政策决策.
- 潜在的风险包括农业错误信息的传播和农民对数据隐私的担忧.
- 农业部门的就业流离失所也是一个重大问题.
结论:
- 法律法规的快速发展需要仔细考虑将其整合到食品生产中.
- 农业政策制定者必须为负责任的LLM使用制定指导方针.
- 在LLM整合变得不可逆转且难以监管之前,及时的政策干预至关重要.
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