Concept Alignment
Sunayana Rane Polyphony J. Bruna Ilia Sucholutsky Christopher Kello Thomas L. Griffiths
Discussion of AI alignment (alignment between humans and AI systems) has
focused on value alignment, broadly referring to creating AI systems that share
human values. We argue that before we can even attempt to align values, it is
imperative that AI systems and humans align the concepts they use to understand
the world. We integrate ideas from philosophy, cognitive science, and deep
learning to explain the need for concept alignment, not just value alignment,
between humans and machines. We summarize existing accounts of how humans and
machines currently learn concepts, and we outline opportunities and challenges
in the path towards shared concepts. Finally, we explain how we can leverage
the tools already being developed in cognitive science and AI research to
accelerate progress towards concept alignment.