The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence
arXiv:2002.06177v3480 citations
AI Analysis
This addresses the problem of achieving robust AI for the broader AI research community, but it is incremental as it builds on existing ideas.
The paper proposes a hybrid, knowledge-driven, reasoning-based approach centered around cognitive models to achieve more robust AI, contrasting with current trends emphasizing general-purpose learning and large-scale compute.
Recent research in artificial intelligence and machine learning has largely emphasized general-purpose learning and ever-larger training sets and more and more compute. In contrast, I propose a hybrid, knowledge-driven, reasoning-based approach, centered around cognitive models, that could provide the substrate for a richer, more robust AI than is currently possible.