{
  "schema_version": "0.1.0",
  "record_type": "research-topic",
  "topic_id": "responsible-ai",
  "label": "Responsible AI",
  "title": "Responsible AI Research",
  "description": "Responsible AI research papers in the Naser Ezzati-Jivan publication catalog.",
  "introduction": "This topic page groups Naser Ezzati-Jivan research papers related to responsible ai. Each linked record provides the paper's problem, method, findings, limitations, keywords, and authoritative source links.",
  "aliases": [
    "responsible ai"
  ],
  "search_terms": [
    "Responsible AI"
  ],
  "related_topics": [],
  "canonical_url": "https://threadslab.org/research-publications/topics/responsible-ai.html",
  "paper_count": 1,
  "papers": [
    {
      "paper_id": "multi-dimensional-bias-analysis-llms-hierarchical-interactions",
      "title": "Multi-Dimensional Bias Analysis in LLMs Using Hierarchical and Interaction Models",
      "year": 2025,
      "authors": [
        "Basil Syed",
        "Daniel Arana Charlebois",
        "Naser Ezzati-Jivan",
        "Leila Tahmooresnejad",
        "Anteneh Ayanso"
      ],
      "page_url": "https://threadslab.org/research-publications/papers/multi-dimensional-bias-analysis-llms-hierarchical-interactions/",
      "canonical_source_url": "https://aisel.aisnet.org/amcis2025/data_science/sig_dsa/15/",
      "core_contribution": "The paper proposes the Triangle Multi-Dimensional Model for Bias Analysis, a hierarchical and interaction-based framework for tracing how bias originates, propagates, compounds, and feeds back across an LLM lifecycle.",
      "tags": [
        "machine-learning",
        "responsible-ai",
        "llm-evaluation"
      ],
      "keywords": [
        "Triangle Multi-Dimensional Model",
        "LLM bias",
        "hierarchical bias analysis",
        "cross-layer propagation",
        "feedback loops",
        "intersectional bias",
        "LLMBI",
        "bias ranking",
        "GPT-4",
        "Gemini 1.5",
        "temperature adjustment",
        "instruction guiding",
        "Pearson correlation",
        "Spearman correlation",
        "mutual information",
        "Granger causality",
        "structural equation modeling",
        "StereoSet",
        "Wino-Bias"
      ]
    }
  ]
}