Conserve the open media ecosystem! Legal and ethical considerations when using online repositories for AI training in ecological research

被引：1

作者：

Lilkendey, Julian ^{[1
,2
,3
]}

机构：

[1] Auckland Univ Technol AUT, Sch Sci, Auckland, New Zealand

[2] Univ Bremen, Data Sci Ctr DSC, Bremen, Germany

[3] Auckland Univ Technol AUT, 55 Wellesley St East, Auckland City, New Zealand

来源：

ECOLOGY LETTERS | 2023年 / 26卷 / 12期

关键词：

artificial intelligence; best practices; community science; ethics; FAIR data; machine learning; multi-modal recognition; online repository; supervised training;

D O I：

10.1111/ele.14311

中图分类号：

Q14 [生态学（生物生态学）];

学科分类号：

071012 ; 0713 ;

摘要：

Ecological researchers who train Artificial Intelligence models using digital media have to be cognizant of legal and ethical implications when sourcing such content from online repositories. The way forward? Complying with Creative Commons licensing requirements, obtaining consent from media creators and adhering to FAIR data principles. Collective action from researchers, repositories, licence providers, and legislators is needed to conserve this complex open media ecosystem. This way, we can continue to develop innovative applications to address pressing ecological issues while maintaining the trust of content creators and respecting the legal and ethical framework of online media use.

引用

页码：2023 / 2028

页数：6