@techreport{fd499b01-5948-44e3-853a-f7b8fff912df,
  abstract     = {{Deliverable D3.3 is the result of T3.3 Develop context-enriched operational guidelines for AI research areas.<br/>The aim of T3.3 was “to identify and lift overarching ethical concerns by cross-analysing use cases to<br/>implement the bottom-up co-creation of context-enriched non-technical AI ethics guidelines” per AI<br/>research area (cf. AIOLIA DoA). The AI research areas covered in this deliverable are General-Purpose AI,<br/>Emotional AI and Decision-Support. T3.3 was accomplished with recourse to the empirical data collected<br/>by AIOLIA partners during the operationalisation of AI ethics principles conducted in the context of T3.1,<br/>as well as a series of validation meetings and exchanges with AIOLIA partners and the SAB. D3.3 presents<br/>the process and results of identifying and lifting overarching ethical concerns and extrapolating<br/>organisational measures from AIOLIA use cases for the elaboration of research area-level guidance.<br/>Organisational measures refer to the structures, policies and governance frameworks that can be<br/>implemented for the ethical governance of AI within organisations providing and deploying AI systems.<br/>The deliverable presents the outputs first, methodological justification second.}},
  author       = {{Aires, Susanna and Kyosovska, Nicoleta and Griffith, Jacob and Teo, Sue Anne and Bogucki, Artur}},
  keywords     = {{Artificial intelligence; Artificiell intelligens}},
  language     = {{eng}},
  month        = {{06}},
  title        = {{Operational Non-Technical Guidelines for AI Research Areas : AIOLIA Deliverable 3.3}},
  url          = {{https://aiolia.eu/wp-content/uploads/2026/06/AIOLIA-D3.3-final.pdf}},
  year         = {{2026}},
}

