Artificial Intelligence and its Potential Adverse Impacts on the Philippine Economy

Recent developments in artificial intelligence (AI) and deep learning techniques are expected to reshape the nature of the working environment in many economic sectors through the automation of many white collar jobs. This technological breakthrough poses threats of job obsolescence in several indus...

Full description

Saved in:
Bibliographic Details
Main Authors: Yu, Krista Danielle, Cororaton, Caesar, Ilao, Joel P., Cheng, Charibeth K., Aviso, Kathleen, Cayamanda, Christina D., Promentilla, Michael Angelo B., Atienza, Ringgold P., Infante, Roman Julio B., Tan, Raymond R.
Format: text
Published: Animo Repository 2017
Subjects:
Online Access:https://animorepository.dlsu.edu.ph/res_aki/136
https://animorepository.dlsu.edu.ph/context/res_aki/article/1130/viewcontent/11232017_policy_brief__artificial_for_printing.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: De La Salle University
id oai:animorepository.dlsu.edu.ph:res_aki-1130
record_format eprints
spelling oai:animorepository.dlsu.edu.ph:res_aki-11302023-07-07T02:14:04Z Artificial Intelligence and its Potential Adverse Impacts on the Philippine Economy Yu, Krista Danielle Cororaton, Caesar Ilao, Joel P. Cheng, Charibeth K. Aviso, Kathleen Cayamanda, Christina D. Promentilla, Michael Angelo B. Atienza, Ringgold P. Infante, Roman Julio B. Tan, Raymond R. Recent developments in artificial intelligence (AI) and deep learning techniques are expected to reshape the nature of the working environment in many economic sectors through the automation of many white collar jobs. This technological breakthrough poses threats of job obsolescence in several industries, particularly for a labor abundant country such as the Philippines. With human capital as one of its largest resources, the services sector is a major contributor to the country’s economy, contributing around 60% of the total gross domestic product and employing about 22.8 million workers (Philippine Statistics Authority, 2017). 2017-01-01T08:00:00Z text application/pdf https://animorepository.dlsu.edu.ph/res_aki/136 https://animorepository.dlsu.edu.ph/context/res_aki/article/1130/viewcontent/11232017_policy_brief__artificial_for_printing.pdf Angelo King Institute for Economic and Business Studies Animo Repository Artificial Intelligence Philippines Job Automation Artificial Intelligence and Robotics Technology and Innovation
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Artificial Intelligence
Philippines
Job Automation
Artificial Intelligence and Robotics
Technology and Innovation
spellingShingle Artificial Intelligence
Philippines
Job Automation
Artificial Intelligence and Robotics
Technology and Innovation
Yu, Krista Danielle
Cororaton, Caesar
Ilao, Joel P.
Cheng, Charibeth K.
Aviso, Kathleen
Cayamanda, Christina D.
Promentilla, Michael Angelo B.
Atienza, Ringgold P.
Infante, Roman Julio B.
Tan, Raymond R.
Artificial Intelligence and its Potential Adverse Impacts on the Philippine Economy
description Recent developments in artificial intelligence (AI) and deep learning techniques are expected to reshape the nature of the working environment in many economic sectors through the automation of many white collar jobs. This technological breakthrough poses threats of job obsolescence in several industries, particularly for a labor abundant country such as the Philippines. With human capital as one of its largest resources, the services sector is a major contributor to the country’s economy, contributing around 60% of the total gross domestic product and employing about 22.8 million workers (Philippine Statistics Authority, 2017).
format text
author Yu, Krista Danielle
Cororaton, Caesar
Ilao, Joel P.
Cheng, Charibeth K.
Aviso, Kathleen
Cayamanda, Christina D.
Promentilla, Michael Angelo B.
Atienza, Ringgold P.
Infante, Roman Julio B.
Tan, Raymond R.
author_facet Yu, Krista Danielle
Cororaton, Caesar
Ilao, Joel P.
Cheng, Charibeth K.
Aviso, Kathleen
Cayamanda, Christina D.
Promentilla, Michael Angelo B.
Atienza, Ringgold P.
Infante, Roman Julio B.
Tan, Raymond R.
author_sort Yu, Krista Danielle
title Artificial Intelligence and its Potential Adverse Impacts on the Philippine Economy
title_short Artificial Intelligence and its Potential Adverse Impacts on the Philippine Economy
title_full Artificial Intelligence and its Potential Adverse Impacts on the Philippine Economy
title_fullStr Artificial Intelligence and its Potential Adverse Impacts on the Philippine Economy
title_full_unstemmed Artificial Intelligence and its Potential Adverse Impacts on the Philippine Economy
title_sort artificial intelligence and its potential adverse impacts on the philippine economy
publisher Animo Repository
publishDate 2017
url https://animorepository.dlsu.edu.ph/res_aki/136
https://animorepository.dlsu.edu.ph/context/res_aki/article/1130/viewcontent/11232017_policy_brief__artificial_for_printing.pdf
_version_ 1772834492938977280