生成式AI模型在数字内容创作中的伦理与技术层面
Ethics and Technical Aspects of Generative AI Models in Digital Content Creation
AI总结：
本文探讨了GPT-4o和DALL-E 3等生成式AI模型在数字内容创作中的技术表现与伦理风险，通过实验分析其在创造力、准确性和计算效率等方面的能力及偏见、真实性和滥用问题，提出伦理指南以促进创新与伦理诚信的平衡。
摘要：
GPT-4o和DALL-E 3等生成式AI模型正在重塑数字内容创作，为各行业提供工具，以卓越的创造力和效率生成多样且复杂的文本与图像。本文探讨了这些模型在创意工作流中的能力与挑战。尽管它们在生成具有创造力、多样性和技术精度的内容方面表现出色，但也引发了重大的伦理问题。我们的研究解决了两个关键研究问题：这些模型在创造力、多样性、准确性和计算效率方面的表现如何；它们带来的伦理风险，特别是关于偏见、真实性和潜在滥用的风险。通过一系列结构化实验，我们分析了它们的技术表现并评估了其输出的伦理影响，发现尽管生成式模型增强了创意过程，但它们往往反映了训练数据中的偏见，并带有需要仔细监督的伦理漏洞。本研究提出了伦理指南，以支持将AI负责任地融入行业实践，促进创新与伦理诚信之间的平衡。
英文摘要：
Generative AI models like GPT-4o and DALL-E 3 are reshaping digital content creation, offering industries tools to generate diverse and sophisticated text and images with remarkable creativity and efficiency. This paper examines both the capabilities and challenges of these models within creative workflows. While they deliver high performance in generating content with creativity, diversity, and technical precision, they also raise significant ethical concerns. Our study addresses two key research questions: (a) how these models perform in terms of creativity, diversity, accuracy, and computational efficiency, and (b) the ethical risks they present, particularly concerning bias, authenticity, and potential misuse. Through a structured series of experiments, we analyze their technical performance and assess the ethical implications of their outputs, revealing that although generative models enhance creative processes, they often reflect biases from their training data and carry ethical vulnerabilities that require careful oversight. This research proposes ethical guidelines to support responsible AI integration into industry practices, fostering a balance between innovation and ethical integrity.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
