{
  "id": 9136,
  "url": "https://doi.org/10.1007/978-3-031-04083-2_2",
  "title": "Explainable AI Methods - A Brief Overview",
  "summary": "Abstract Explainable Artificial Intelligence (xAI) is an established field with a vibrant community that has developed a variety of very successful approaches to explain and interpret predictions of complex machine learning models such as deep neural networks. In this article, we briefly introduce a few selected methods and discuss them in a short, clear and concise way. The goal of this article is to give beginners, especially application engineers and data scientists, a quick overview of the s",
  "authors": "Andreas Holzinger, Anna Saranti, Christoph Molnar, Przemysław Biecek, Wojciech Samek",
  "category": "research",
  "topics": "transparency",
  "orgs": "xai",
  "regions": null,
  "published_at": "2022-01-01T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:33:50.746Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/9136",
  "original_url": "https://doi.org/10.1007/978-3-031-04083-2_2",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}