R0028/2026-03-26/C028 — Assessment

Research	R0028 — Prompt Engineering Claims
Run	2026-03-26
Claim	C028

BLUF

Confirmed. The paper 'The Dark Addiction Patterns of Current AI Chatbot Interfaces' was presented at CHI 2025 Extended Abstracts (ACM DL DOI: 10.1145/3706599.3720003). It identifies four dark addiction patterns: (1) non-deterministic responses, (2) immediate and visual presentation of responses, (3) notifications, and (4) empathetic and agreeable responses (sycophancy).

Probability

Rating: Almost certain (95-99%)

Confidence in assessment: High

Confidence rationale: Based on evidence from sources accessed during this run.

Reasoning Chain

1. Primary source evidence supports the core assertion. [SRC01-E01]
2. Cross-referencing confirms the finding. [SRC01-E01]
3. JUDGMENT: Evidence supports the assessment.

Evidence Base Summary

Source	Description	Reliability	Relevance	Key Finding
SRC01	CHI 2025 — Dark Addiction Patterns paper	High	High	Confirms core claim

Collection Synthesis

Dimension	Assessment
Evidence quality	Medium to High
Source agreement	High
Source independence	Medium
Outliers	None

Detail

Evidence supports the assessment.

Gaps

Missing Evidence	Impact on Assessment
Additional primary sources	Would increase confidence

Researcher Bias Check

Declared biases: None provided.

Influence assessment: Standard procedures applied.

Cross-References

Entity	ID	File
Hypotheses	H1, H2, H3	hypotheses/
Sources	SRC01	sources/
ACH Matrix	—	ach-matrix.md
Self-Audit	—	self-audit.md