1、Page 1 GAO-25-107651 ARTIFICIAL INTELLIGENCE Generative artificial intelligence(AI)can create content such as text,images,audio,or video when prompted by a user.Generative AI differs from other AI systems in its ability to generate novel content,in the vast volumes of data it requires for training,a

2、nd in the greater size and complexity of its models.Commercial developers have created a wide range of generative AI models that produce text,code,image,and video outputs,as well as products and services that enhance existing products or support customized development and refinement of models.Use of

3、 generative AI has exploded,with one commercial developer stating that it has reached more than 200 million weekly active users for one of its models.Commercial development of generative AI technologies has rapidly accelerated,with industry continually updating models with new features and capabilit

4、ies.However,some stakeholders have raised trust,safety,and privacy concerns over the use of training data for models and the potential for harmful outputs.For this technology assessment,we were asked to describe commercial development of generative AI technologies.This report provides an overview of

5、 common generative AI development practices,limitations with these technologies and their susceptibility to attack,and processes commercial developers follow to collect,use,and store training data for generative AI technologies.This report is the second in a body of work looking at generative AI.In

6、future reports,we plan to assess(1)societal and environmental effects of the use of generative AI and(2)federal research,development,and adoption of generative AI technologies.The common practices developers use to facilitate responsible development and deployment of generative AI technologies inclu