生物学家长期致力于解码动物声音，近年随著微型生物记录器与人工智慧技术的结合，科学家得以搜集并分析数十万笔叫声资料，借此辨识物种间复杂的沟通模式，甚至有人乐观预测双向跨物种沟通将在数年内实现。

然而，利用科技与动物沟通伴随著潜在风险与伦理争议，除了数据采集过程可能侵犯野生动物习性外，相关技术亦可能遭猎人或军事用途滥用，例如利用合成声音诱捕动物或将其用于探测任务，对生物造成规模化的实质危害。

此外，为了验证叫声意义而广泛采用的「回放实验」引发了巨大疑虑，重复播送录音可能对动物造成压力、混淆其社会结构，甚至形成如深伪技术般的欺骗效果，迫使学界开始反思现行研究伦理准则是否已不足以应对强大的人工智慧发展。

Biologists have long sought to decode animal vocalizations, and the recent fusion of miniature biologgers with artificial intelligence now allows researchers to analyze massive acoustic datasets, fueling optimism among some that two-way interspecies communication could become a reality within years.

However, applying advanced technology to animal communication brings significant ethical and practical risks, ranging from the disruption caused by aggressive data collection to the potential exploitation of synthetic animal calls by poachers or military actors seeking to lure or weaponize wildlife.

Furthermore, the controversial practice of playback experiments—broadcasting recorded calls to verify their meanings—raises deep psychological and social concerns for the animals involved, prompting experts to question whether existing ethical guidelines are equipped to handle the intensive use enabled by modern artificial intelligence.