Jacob Busch

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jacob Busch trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Alex John London
  2. Andreas Holzinger

Papers from Jacob Busch's perspective

Ordered by how strongly the researchers Jacob Busch trusts endorse each paper. Same corpus, a different order for every researcher.

  1. What Does Explainable AI Really Mean? A New Conceptualization of Perspectives
  2. What do we need to build explainable AI systems for the medical domain?
  3. High-performance medicine: the convergence of human and artificial intelligence
  4. Evaluating Learning Algorithms: A Classification Perspective
  5. 'It's Reducing a Human Being to a Percentage': Perceptions of Justice in Algorithmic Decisions
  6. Artificial intelligence in healthcare: a critical analysis of the legal and ethical implications
  7. The ethics of algorithms: Mapping the debate
  8. [Breast cancer]. (Nihon rinsho. Japanese journal of clinical medicine)
  9. The Social and Economic Implications of Artificial Intelligence Technologies in the Near-Term
  10. Artificial Intelligence and Black-Box Medical Decisions: Accuracy versus Explainability.

Their papers