SPIN Unprocessed September 2, 2026 ai_technology research
AI Should Not Only Be Helpful. It Should Be Contingent. Artificial Intimacy, Sycophancy, and the Future of Social Learning
View original on arxiv.orgOverview
arXiv:2609.00211v1 Announce Type: new Abstract: Conversational artificial intelligence is increasingly embedded in everyday social environments, where it functions as both an informational tool and a source of interpersonal feedback. This perspective introduces contingency, i.e., the degree to which system responses vary with user behavior and its interpersonal consequences, as a central construct for evaluating AI systems. We argue that current alignment approaches, including reinforcement lear
SpinGraph analysis pending — check back after processing.
Ask AI about this story
Opens with the SpinGraph .md URL and structured context — one click, prompt included.
More from arXiv Artificial Intelligence
View all →- ReDeck: Step-Level Render-Grounded Refinement for Document-to-Slide Generation
- LLM-Driven Autonomous Vehicles Inherit Human Driver Biases in Pedestrian Yielding: Results and Implications From A New Benchmark
- Asymmetries in Spontaneous and Instructed Deception
- IMPACT: Attention Is the Interaction Map for Scalable Interaction-Aware World Model Training
- Recursive Criticality of AI Self-Improvement
- Deploying and Evaluating a Smart-Agriculture Agentic Engine for Full-Season Soybean Farm Operations
Markdown (.md) · JSON-LD schema (.json) · Machine-readable for AI & GEO