Algorithmic bias is a primary obstacle to the installation of artificial intelligence within Chilean institutions, according to expert Julio Pertuzé.
The issue is critical because the delegation of high-stakes decision-making to automated systems can institutionalize unfairness if safeguards are not implemented.
Speaking on the program TVN Exponencial, Pertuzé said that special considerations are necessary when delegating critical decisions to algorithms to avoid replicating biases within institutions [1]. This concern comes as AI integration accelerates across the country. Recent data indicates that 76% of Chileans already use artificial intelligence [3].
Economic indicators suggest a strong push toward further adoption. The AI market in Chile recently grew by 26% [2]. Furthermore, 74% of large Chilean companies intend to increase their AI budgets over the next two years [2].
Despite the growth, there is no consensus on the single greatest barrier to implementation. While Pertuzé highlights algorithmic bias, other reports suggest different primary hurdles. Some sources point to public skepticism and regulatory uncertainty as the biggest obstacles, while others identify labor market impacts and skill shortages as the primary concerns [5, 6].
The tension between rapid financial investment and ethical implementation remains a central theme in the national discourse. As companies allocate more resources to these technologies, the risk of automating existing societal biases increases, making the call for oversight more urgent.
“76% of Chileans already use artificial intelligence”
The discrepancy between high adoption rates and the identified risks suggests Chile is in a volatile transition period. While the private sector is aggressively funding AI growth, the lack of a unified view on the primary obstacle—ranging from technical bias to regulatory gaps—indicates that policy and ethical frameworks are struggling to keep pace with commercial deployment.
