Gartner Research


Published: 12 April 2023



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  • 生成式人工智能可通过AI模型增强核心流程,对许多行业产生直接影响,包括制药、制造、媒体、建筑、室内设计、工程、汽车、航空航天、国防、医疗、电子以及能源行业。此外,还能增强覆盖多个部门的支持流程,从而影响营销、设计、企业沟通、培训和软件工程。

  • 深度伪造等恶意用法,会使个人、企业机构和政府部门面临重大的声誉、假冒、欺诈和政治风险。版权问题依然存在,许多模型使用的训练数据并未获得授权,并且可以通过模仿特定样式来生成原创内容。

  • 生成式AI已经过多年发展;过去12个月内,基础模型对创意工作的增强能力受到热炒,吸引了大量风投资金。



  • 了解本文介绍的用例,确定生成式AI对其行业和企业机构的业务影响(效益/风险)。与各利益相关方合作,评估生成式AI用例蕴含的业务机会和威胁,同时就部署此类用例或防范相关威胁的技术可行性、组织就绪度和外部因素展开评估。

  • 与安全和风险管理领导者合作,积极行动,降低深度伪造、版权问题和其他针对企业机构的生成式AI技术恶意使用风险。选择供应商时,确保其提供了用于减少偏见的工具,并且优先选择提供详细模型卡以及训练数据集相关信息的工具。

  • 提高数据科学家运用生成式AI的技能,并且与学术机构和初创公司合作,为内外部产品和服务创建定制化的AI算法和模型。为终端用户提供培训,帮助其通过可用的生成器来评估潜在风险或市场机会,并且创建自己的产品。

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Brian Burke Arun Chandrasekaran Svetlana Sicular

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