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

机译:AI招聘。用于道德和法律审计的多代理系统架构

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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.
机译:人工智能(AI)特定于域的申请可能具有不同的道德和法律影响。目前AI问题之一是娱乐视频访谈分析背后的挑战。有利于使用AI在招聘流程中的利弊,以及对候选人,公司和国家的潜在后果。此外,这些系统的规定的赤字强化了对面试中的分析类型的外部和中立审计的需求。因此,我们提出了一种多智能体系架构,用于中立审计,以保证包容性和准确的AI,并降低就业市场的潜在歧视。

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