Generative Technology

Generative technology encompasses AI systems capable of creating novel content, ranging from images and text to robotic workflows and synthetic data. Current research emphasizes understanding and mitigating potential harms, including bias, misinformation (FAIGC), and misuse, while also exploring applications in diverse fields like emotion recognition and HCI. Key model architectures include diffusion models, generative adversarial networks, and large language models, with a growing focus on developing robust safety mechanisms and ethical guidelines for responsible development and deployment. This rapidly evolving field holds significant implications for various scientific disciplines and practical applications, demanding careful consideration of both its benefits and risks.