OSW

SIGNATURE WORK
CONFERENCE & EXHIBITION 2024

A Case Study of AI In Vision and Sound Generation: The Evolution Applications and Ethical Considerations

Name

Jingheng Huan

Major

Data Science

Class

2024

About

I am interested in AIGC. I would like to learn more about computer vision and speech recognition in my following graduate studies.

Signature Work Project Overview

This SW report investigates the evolving landscape of Artificial Intelligence Generated Content (AIGC) technologies, focusing on their capabilities, applications, and the ethical considerations they entail. Through an in-depth analysis of state-of-the-art models like GPT-4, Midjourney, Runway Gen-2, and ElevenLabs, the study explores how these technologies are reforming content creation across text, image, video, and voice synthesis. A case study on envisioning the future of soccer illustrates the practical application of AIGC tools in creating immersive and narrative-rich content. Despite their evolving potential, the research identifies significant limitations and challenges, including accessibility and user experience. Ethical considerations, such as bias mitigation and the impact on copyright laws, are critically examined to propose guidelines for responsible AI use. This Signature Work (SW) underscores the need for a balanced approach to harnessing AIGC technologies, advocating for continuous development and ethical practices to realize their full potential in creative expression and storytelling.

Signature Work Presentation Video