Galit Wellner’s exploration of new kinds of digital technologies employing AI algorithms that simulate features and functions of the human imagination leads her to propose a conceptual analysis of the imagination as a composite of perception and memory. Wellner poses the question of whether the output of such technological applications might be regarded as not merely simulating creative activity but as truly imaginative in their own right. Wellner concludes with a qualified “no.” The use of AI algorithms in conjunction with human cognitive activity, conceived in terms of a layered architecture of the faculties in question, can in fact be understood as an essential component of imaginative, and thus creative, production, but humans are still needed in the mix. To the extent that the AI-algorithm-enhanced human system is capable of imagining and creating works of art, imagination can be extended to AI algorithms. But, the algorithms sans humans are not themselves imaginers. For Wellner, AI algorithms can augment and enhance human imaginative efforts, equipping us with a richer and vastly wider array of possibilities and options for aesthetic consideration, but ultimately, the human is the essential element. However, once the door is opened to accepting algorithmically determined alternatives as capable of successfully achieving desired results within a field of possible outcomes, it seems possible that the activities of connecting, coordinating, or meaningfully linking, combining, and establishing new imaginative layers that Wellner reserves as requiring humans to enact might also be programmable, algorithmically achievable tasks that instantiate genuine aesthetic decision making.

Galit Wellner对采用AI算法模拟人类想象力的特征和功能的新型数字技术的探索使她提出了对想象力的概念分析，将其作为感知和记忆的组合。韦纳提出了这样一个问题：是否可以将这种技术应用程序的输出不仅视为模拟创造性活动，还可以视为本身具有真正的想象力。维尔纳以合格的“否”结束。实际上，可以将AI算法与人类认知活动结合使用，这是根据所讨论的系的分层架构来构想的，实际上，可以将其理解为具有想象力的，因而具有创造力的生产的重要组成部分，但人类仍然需要混合。在一定程度上，人工智能算法增强的人类系统能够想象和创造艺术品，可以将想象力扩展到人工智能算法。但是，算法没有人类本身不是想象者。对于Wellner来说，人工智能算法可以增强和增强人类的想象力，为我们提供更多，更广泛的可能性和选择，以进行美学考量，但最终，人类才是必不可少的元素。但是，一旦打开了接受算法确定的替代方法的大门，这些替代方法能够在可能的结果范围内成功实现预期的结果，那么似乎有可能进行连接，协调或有意义地链接，组合和建立新的富有想象力的层的活动。要求人类制定的自然保护区也可能是可编程的，可通过算法实现的任务，这些任务可实例化真正的美学决策。