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@ARTICLE{Farisco:1007615,
      author       = {Farisco, Michele and Baldassarre, Gianluca and Cartoni,
                      Emilio and Leach, Antonia and Petrovici, Mihai A. and
                      Rosemann, Achim and Salles, Arleen and Stahl, Bernd and van
                      Albada, Sacha},
      title        = {{A} method for the ethical analysis of brain-inspired {AI}},
      publisher    = {arXiv},
      reportid     = {FZJ-2023-02114},
      year         = {2023},
      abstract     = {Despite its successes, to date Artificial Intelligence (AI)
                      is still characterized by a number of shortcomings with
                      regards to different application domains and goals. These
                      limitations are arguably both conceptual (e.g., related to
                      underlying theoretical models, such as symbolic vs.
                      connectionist), and operational (e.g., related to robustness
                      and ability to generalize). Biologically inspired AI, and
                      more specifically brain-inspired AI, promises to provide
                      further biological aspects beyond those that are already
                      traditionally included in AI, making it possible to assess
                      and possibly overcome some of its present shortcomings. This
                      article examines some conceptual, technical, and ethical
                      issues raised by the development and use of brain-inspired
                      AI. Against this background, the paper asks whether there is
                      anything ethically unique about brain-inspired AI. The aim
                      of the paper is to introduce a method that has a heuristic
                      nature and that can be applied to identify and address the
                      ethical issues arising from brain-inspired AI. The
                      conclusion resulting from the application of this method is
                      that, compared to traditional AI, brain-inspired AI raises
                      new foundational ethical issues and some new practical
                      ethical issues, and exacerbates some of the issues raised by
                      traditional AI.},
      keywords     = {Artificial Intelligence (cs.AI) (Other) / Neurons and
                      Cognition (q-bio.NC) (Other) / FOS: Computer and information
                      sciences (Other) / FOS: Biological sciences (Other)},
      cin          = {INM-6 / IAS-6 / INM-10},
      cid          = {I:(DE-Juel1)INM-6-20090406 / I:(DE-Juel1)IAS-6-20130828 /
                      I:(DE-Juel1)INM-10-20170113},
      pnm          = {5231 - Neuroscientific Foundations (POF4-523) / HBP SGA3 -
                      Human Brain Project Specific Grant Agreement 3 (945539) /
                      CAVAA - Counterfactual Assessment and Valuation for
                      Awareness Architecture (101071178) / HBP - The Human Brain
                      Project (604102) / HBP SGA1 - Human Brain Project Specific
                      Grant Agreement 1 (720270) / HBP SGA2 - Human Brain Project
                      Specific Grant Agreement 2 (785907)},
      pid          = {G:(DE-HGF)POF4-5231 / G:(EU-Grant)945539 /
                      G:(EU-Grant)101071178 / G:(EU-Grant)604102 /
                      G:(EU-Grant)720270 / G:(EU-Grant)785907},
      typ          = {PUB:(DE-HGF)25},
      doi          = {10.48550/arXiv.2305.10938},
      url          = {https://juser.fz-juelich.de/record/1007615},
}