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Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

Please note that all times are shown in the time zone of the conference. The current conference time is: 24th Aug 2026, 05:32:59am America, Santiago

Daily Overview

Session

27A: Information Technology
Virtual location: VIRTUAL: Agora Meetings

Presentation 3

6:26pm - 6:34pm

Risk assessment with artificial intelligence and its impact on financial investments: A Systematic Review of the Literature.

Yasher Delfín Silva¹, Patrick Ramón Meza², Adriana Ceron Vivanco³, Meliza Pairazaman Yareta⁴, Aldrin Villalobos Pereira⁵

1: Universidad Autónoma del Perú - (PE), Perú; 2: Universidad Autónoma del Perú - (PE); 3: Universidad Autónoma del Perú - (PE); 4: Universidad Autónoma del Perú - (PE); 5: Universidad de Santiago de Chile

This article presents the findings of a systematic review on the application of artificial intelligence in risk assessment and its impact on financial investments during the period 2020–2025. The PICO technique and the Prisma method were used to screen the selected articles for analysis, taking into account inclusion and exclusion criteria. The results show that most of the articles address the correlational method, are recently published, and originate from Ecuador, China, and Colombia. Bibliometric analysis using VOSviewer demonstrated that both the concepts and the authors align with emerging areas of research and reflect a growing trend in the literature on this topic. It also reveals increasing academic interest in the subject since 2021, with a higher concentration of publications between 2021 and 2023, demonstrating an upward trend in the incorporation of advanced technological tools in the financial sector. It is concluded that AI in financial investments has demonstrated an impact on three factors (technical, ethical, and compliance), which are necessary for reducing uncertainty, optimizing resource allocation, and anticipating adverse events in business decisions.