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赋能与负能:AIGC 的技术红利与风险规制

向安玲

向安玲. 赋能与负能:AIGC 的技术红利与风险规制[J]. 中国传媒科技, 2023, (2): 7-12. doi: 10.19483/j.cnki.11-4653/n.2023.02.001
引用本文: 向安玲. 赋能与负能:AIGC 的技术红利与风险规制[J]. 中国传媒科技, 2023, (2): 7-12. doi: 10.19483/j.cnki.11-4653/n.2023.02.001

赋能与负能:AIGC 的技术红利与风险规制

doi: 10.19483/j.cnki.11-4653/n.2023.02.001
详细信息
    作者简介:

    向安玲(1991-),女,湖北宜昌,中央民族大学新闻与传播学院,讲师,研究方向为媒介大数据、智能媒体、网络舆论、国际传播。

  • 中图分类号: G205

  • 摘要: 【目的】ChatGPT 的火爆出圈使得 AIGC 的应用从小众走向了分众和大众,在技术红利释放的同时也衍生 了诸多风险问题,在拓展技术应用的同时完善风险规制有助于产业高质量、可持续发展。【方法】文章从内容供给、 信源采纳、模型调优、行业应用等维度对 AIGC 带来的机遇和挑战进行梳理。【结果】指出目前 AIGC 已基本可供、 可用,部分可塑、可信,未来可替、可期。【结论】“负能”固然存在,“赋能”更为可期,在包容审慎中既要给 技术发展以边界约束,更要给技术应用以弹性空间。

     

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  • 刊出日期:  2023-04-17

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