Research Papers
Discover publications from Aboitiz Data Innovation's AI and Behavioral Science Centers. These teams specialize in NLP, geospatial, and graph analytics, driving impactful behavioral research and decision-making improvements across various industries.
Joint Recommendation: Open Comment on University of the Philippines (UP)’s Principles for Responsible AI
The Ambit, a global civic organization, applauds the University of the Philippines System's open comment policy on AI. Focused on ethical AI governance, The Ambit aims to contribute insights to the 'UP AI Principles', a 10-point values-based framework for responsible AI.
Utilization of Government-Based and Non-Conventional Indicators for Property Value Prediction in the Philippines
The paper highlights the challenges in property appraisal in the Philippines, including human errors and biases due to subjective pricing and limited understanding of the impact of local amenities.
Data homogeneity dependent topic modeling for information retrieval
In this study, we hypothesize that the performance of these algorithms depends on the variation and heterogeneity of topics mentioned in free text and aim to investigate this effect.
Wealth Index Estimation using Machine Learning with Environmental, Demographics, Remote Sensing, and Points of Interest Data
In this study, we hypothesize that the performance of these algorithms depends on the variation and heterogeneity of topics mentioned in free text and aim to investigate this effect.
Anti-discrimination Laws, Artificial Intelligence, and Gender Bias: A Case Study in Non-mortgage Fintech Lending
In this paper we define and measure discrimination not by what is legal but rather, by how a model treats a group of individuals.