Generic discussion of AI risk and alignment without specific actorsGeneric discussion on AI alignment and robot preference modeling
Case File
kaggle-ho-016254House OversightTechnical discussion of Cooperative Inverse Reinforcement Learning and off‑switch problem
Date
Unknown
Source
House Oversight
Reference
kaggle-ho-016254
Pages
1
Persons
0
Integrity
No Hash Available
Summary
Technical discussion of Cooperative Inverse Reinforcement Learning and off‑switch problem The passage is an academic‑style exposition on AI alignment concepts with no mention of specific individuals, institutions, financial transactions, or alleged misconduct. It offers no actionable investigative leads. Key insights: Describes CIRL framework with human and robot agents.; Provides a toy example involving paper clips and staples.; Explains the off‑switch game and its implications for AI safety.
Tags
kagglehouse-oversightai-alignmentmachine-learningtheoretical-economics
Ask AI about this document
Search 264K+ documents with AI-powered analysis
Forum Discussions
This document was digitized, indexed, and cross-referenced with 1,400+ persons in the Epstein files. 100% free, ad-free, and independent.
Annotations powered by Hypothesis. Select any text on this page to annotate or highlight it.