线上赌博平台

【学术沙龙】跨学科对话沙龙 | 线上赌博平台 研究生系列学术沙龙第九期:AIGC驱动的跨学科研究范式

线上赌博平台 研究生系列学术沙龙第九期将于49日下午精彩开启!本期沙龙以高端学术引领+师生互动研讨为特色,特邀国际权威专家LIU KECHENG教授与SUN LILY副教授联袂主讲。

OpenClaw引爆全球,AIGC浪潮奔涌而至。未来的你,会被AI替代吗?什么样的能力,才是AI永远无法复制的核心竞争力?在这场席卷全球的智能革命中,我们不仅是旁观者,更是参与者。本期沙龙将聚焦最前沿、最具争议、也最现实的AI议题,带来一场观点交锋、思想碰撞、洞察未来的跨学科对话沙龙。诚邀全校师生共赴这场思想盛宴!

详情请见沙龙海报!

主题:AIGC动的跨学科研究

时间20260409日(周四)14:30 - 17:00

点:线上赌博平台 天舜第四会议

办单位线上赌博平台

承办单位研究生(学科)、统计学学、前沿交

参与方式:本活动面向全校师生开欢迎相关研究生和青年教师踊跃参与

专家报告简介:

1.Succeeding in the AI and Digital Era: How to Become AI-Proof Talent

Abstract: Are you AI-proof? As artificial intelligence and digital technologies rapidly reshape industries, professions, and decision-making, an important question arises for university graduates and future talent: what human capabilities will remain essential in an AI-driven world?

This seminar briefly reflects on the evolution of industrial revolutions and the expanding role of AI in transforming work and society. Rather than viewing AI as a competitor to humans, the talk highlights the fundamental differences between human intelligence and artificial intelligence, and how the two can complement each other.

Focusing on uniquely human strengths such as creativity, ethical judgement, contextual understanding, and meaning-making, the seminar explores how individuals can develop competences that complement AI technologies and position themselves as AI-proof talent in the digital era.

2.AI Empowering Teaching and Learning

Abstract: AI is revolutionising education, reshaping how students acquire knowledge and develop essential skills for an AI-driven future. This seminar presentation explores the transformative role of AI in education, emphasizing its ability to provide personalised, interactive, and efficient learning experiences.

AI-driven systems enhance knowledge acquisition through multimodal learning, automation of repetitive tasks, and real-time feedback. Beyond knowledge retention, AI supports the development of critical competencies such as problem-solving, creativity, and leadership, skills that remain uniquely human. Case studies in computer science education illustrate how AI integration in teaching fosters deeper learning by shifting focus from note memorisation to reasoning and application.

The presentation also examines the challenges of implementing AI in curricula, including ethical considerations, academic integrity, and effective pedagogical strategies. By addressing these concerns, educators can leverage AI to enhance learning without replacing the essential human elements of education.

49日(周四)14:30点,不见不散!

活动咨询联系方式:0531-82617511,陈老师