AI researchers aim to align general-purpose systems with hard-to-specify human intentions

Categorization

corroborated: 2 independent passages support this claim
XREF: connects to: AI safety concerns have shifted from fringe to central research focus; Machine learning increasingly intertwines technical problems with human and social questions; Machine learning systems are not inherently fair or just by default (+9 more)

Machine learning increasingly intertwines technical problems with human and social questions (similarity 0.84)
AI safety concerns have shifted from fringe to central research focus (similarity 0.84)
Ensuring AI captures human intent is now a central computer science problem (similarity 0.83)
AI alignment may require machines to pursue human objectives, not their own (similarity 0.80)
Machines could learn human values by observing behavior instead of being programmed (similarity 0.80)
Intent-alignment doesn’t specify whose intentions matter, leaving trade-off conflicts unresolved (similarity 0.79)
Machine learning systems are not inherently fair or just by default (similarity 0.79)