---
res:
  bibo_abstract:
  - Dealing with opaque algorithms, the frequent overlap between transparency and
    explainability produces seemingly unsolvable dilemmas, as the much-discussed trade-off
    between model performance and model transparency. Referring to Niklas Luhmann's
    notion of communication, the paper argues that explainability does not necessarily
    require transparency and proposes an alternative approach. Explanations as communicative
    processes do not imply any disclosure of thoughts or neural processes, but only
    reformulations that provide the partners with additional elements and enable them
    to understand (from their perspective) what has been done and why. Recent computational
    approaches aiming at post-hoc explainability reproduce what happens in communication,
    producing explanations of the working of algorithms that can be different from
    the processes of the algorithms.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: 'Elena '
      foaf_name: 'Esposito, Elena '
      foaf_surname: Esposito
  bibo_doi: 10.6092/ISSN.1971-8853/15804
  bibo_issue: '3'
  bibo_volume: 16
  dct_date: 2023^xs_gYear
  dct_language: eng
  dct_subject:
  - Explainable AI
  - Transparency
  - Explanation
  - Communication
  - Sociological systems theory
  dct_title: Does Explainability Require Transparency?@
...
