Finding claims that researchers have made considerable progress in artificial intelligence over the last several decades is easy. However, our everyday interactions with cognitive systems (e.g., Siri, Alexa, DALL-E) quickly move from intriguing to frustrating. One cause of those frustrations rests in a mismatch between the expectations we have due to our inherent, folk-psychological theories and the real limitations we experience with existing computer programs. The software does not understand that people have goals, beliefs about how to achieve those goals, and intentions to act accordingly. One way to align cognitive systems with our expectations is to imbue them with mental states that mirror those we use to predict and explain human behavior. This paper discusses these concerns and illustrates the challenge of following this route by analyzing the mental state 'intention.' That analysis is joined with high-level methodological suggestions that support progress in this endeavor.
翻译:然而,我们与认知系统的日常互动(例如,Siri, Alexa, DALL-E)迅速从有趣到令人沮丧。这些挫折的原因之一在于我们由于内在的民间心理理论和我们现有计算机程序的实际局限性而产生的期望之间的不匹配。软件并不理解人们有目标、信仰如何实现这些目标,并打算采取相应行动。使认知系统与我们的期望相一致的一个方法就是将认知系统与我们用来预测和解释人类行为的精神状态相匹配。本文讨论了这些关切,并通过分析精神状态的“意图”来说明遵循这一途径的挑战。这一分析与支持这一努力取得进展的高级方法建议相结合。