AI in Recruiting. Multi-Agent Systems Architecture for Ethical and Legal Auditing

María del Carmen Fernández Martínez, Alberto Fernández

IJCAI 2019 pp. 6428-6429

doi:10.24963/IJCAI.2019/903 /ijcai/2019/delcarmenfernandezmartinez2019ijcai-ai/

Abstract

Artificial Intelligence (AI) domain-specific applications may have different ethical and legal implications. One of the current questions of AI is the challenges behind the analysis of job video-interviews. There are pros and cons to using AI in recruitment processes, and potential consequences for candidates, companies and states. Furthermore, the deficit of regulation of these systems reinforces the need for external and neutral auditing of the types of analysis made in interviews. We, therefore, propose a Multi-agent system architecture for neutral auditing to guarantee an inclusive and accurate AI and to reduce the potential discrimination in the job market.

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Cite

Text

del Carmen Fernández Martínez and Fernández. "AI in Recruiting. Multi-Agent Systems Architecture for Ethical and Legal Auditing." International Joint Conference on Artificial Intelligence, 2019. doi:10.24963/IJCAI.2019/903

Markdown

[del Carmen Fernández Martínez and Fernández. "AI in Recruiting. Multi-Agent Systems Architecture for Ethical and Legal Auditing." International Joint Conference on Artificial Intelligence, 2019.](https://mlanthology.org/ijcai/2019/delcarmenfernandezmartinez2019ijcai-ai/) doi:10.24963/IJCAI.2019/903

BibTeX

@inproceedings{delcarmenfernandezmartinez2019ijcai-ai,
  title     = {{AI in Recruiting. Multi-Agent Systems Architecture for Ethical and Legal Auditing}},
  author    = {del Carmen Fernández Martínez, María and Fernández, Alberto},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2019},
  pages     = {6428-6429},
  doi       = {10.24963/IJCAI.2019/903},
  url       = {https://mlanthology.org/ijcai/2019/delcarmenfernandezmartinez2019ijcai-ai/}
}