The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence
arXiv:2002.06177v343.9495 citations
Originality Synthesis-oriented
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.