生成式人工智能应用于学术研究的风险及其预防机制

Risks of Generative Artificial Intelligence Applied to Academic Research and Its Preventive Mechanisms

生成式人工智能是利用计算机模拟人类的智能行为所开发的相应实践理论与技术,其在各个领域的爆发应用为未来人类的发展提供了无限的想象空间,与此同时,虚假信息、学术伦理、劳动替代等问题也引发全球热议。实践地看,生成式人工智能在当前的学术研究中可能存在人文性缺失、科学性缺失、依赖性成瘾、原创性与批判性缺失等风险。为更好地将人工智能应用于学术研究并使其得到可持续发展,需要规范生成式人工智能使用,助推学术研究的向善发展;优化生成式人工智能参数,鉴别学术研究伪成立性;调控生成式人工智能发展,加强学术研究的前瞻预防。

Generative Artificial Intelligence(AI) is the corresponding practical theories and technologies developed by using computers to simulate human intelligent behavior,and its explosive application in various fields provides infinite imagination for future human development,while at the same time,issues such as false information,academic ethics,and labor replacement have triggered heated debates around the world.Practically speaking,generative AI may pose risks such as lack of humanity,lack of science,addiction to dependency,and lack of originality and criticality in current academic research.In order to better apply AI to academic research and make it sustainable,it is necessary to regulate the use of generative AI to promote the good development of academic research;optimize the parameters of generative AI to identify the pseudo-establishment of academic research;and regulate the development of generative AI to strengthen the forward-looking prevention of academic research.