Can humans and artificial intelligences share concepts and communicate?
'Making AI Intelligible' shows that philosophical work on the metaphysics of
meaning can help answer these questions. Herman Cappelen and Josh Dever use the
externalist tradition in philosophy to create models of how AIs and humans can
understand each other. In doing so, they illustrate ways in which that
philosophical tradition can be improved.
The questions addressed in the book are not only theoretically interesting,
but the answers have pressing practical implications. Many important decisions
about human life are now influenced by AI. In giving that power to AI, we
presuppose that AIs can track features of the world that we care about (for
example, creditworthiness, recidivism, cancer, and combatants). If AIs can
share our concepts, that will go some way towards justifying this reliance on
AI. This ground-breaking study offers insight into how to take some first steps
towards achieving Interpretable AI.

人类和人工智能是否能共享概念并进行交流？《使人工智能变得可理解》展示了意义形而上学的哲学研究如何回答这些问题，Cappelen 和 Dever 利用哲学中的外在主义传统构建了人工智能和人类相互理解的模型，从而改进了哲学传统，给出了有关理论和实践的重要答案，为实现可解释的人工智能迈出了重要的第一步。