accountable AI
[/əˈkaʊntəbl eɪ aɪ/]
nounpl: accountable AIs
IA responsável
1. Artificial intelligence systems designed to be transparent, explainable, and responsible for their decisions and actions, with mechanisms for oversight and correction
The company implemented accountable AI to ensure their hiring algorithm could be audited for bias.
A empresa implementou IA responsável para garantir que seu algoritmo de contratação pudesse ser auditado quanto a vieses.
2. AI systems that operate with clear governance structures, allowing stakeholders to understand how decisions are made and hold developers liable for harmful outcomes
Accountable AI requires documentation of training data and decision-making processes.
IA responsável requer documentação dos dados de treinamento e dos processos de tomada de decisão.
This is a contemporary technical term that emerged from discussions about AI governance and corporate responsibility, particularly prominent in North American and European tech policy. In Brazil, usage reflects growing concerns about algorithmic bias in hiring, lending, and public services. The concept gained prominence following high-profile cases of biased AI systems and regulatory movements like the EU AI Act and Brazil's proposed AI regulations.
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