Developing a Digital National ID System in the Philippines using AI Technology

Local Chapter Antipolo, Philippines Chapter

Coordinated byPhilippines ,

Patricia Mae Quitoriano

Status: Completed

Project Duration: 03 Jun 2023 - 31 Jul 2023

Open Source resources available from this project

Github Repository

Project background.

The Philippines has been working on implementing a national identification system for several years, with the aim of streamlining government services and reducing fraud. In 2018, the government passed the Philippine Identification System Act, which mandates the creation of a single national ID for all citizens and resident aliens in the country.

To achieve this goal, the government is exploring the use of artificial intelligence (AI) technology to develop a system for generating and digitizing national IDs. The proposed system would use AI algorithms to verify the identity of individuals and prevent duplicate IDs, ensuring that the national ID database is accurate and reliable.

The implementation of a national ID system has been a contentious issue in the Philippines, with concerns about data privacy and potential misuse of personal information. However, proponents argue that a reliable and efficient identification system can improve access to government services and reduce corruption. The use of AI technology is seen as a way to address these concerns and ensure the system’s effectiveness.

The problem.

One of the major challenges related to the implementation of an AI-powered national ID generator and digitization system in the Philippines is the issue of data privacy and security. The collection and storage of sensitive personal information, such as biometric data, can be vulnerable to data breaches and misuse. There is a risk that the information gathered could be used for unauthorized purposes or accessed by individuals with malicious intent.

There is also a risk of errors in the identification process due to biases in the AI algorithms used. AI systems can be trained on biased data, resulting in inaccuracies and discrimination against certain groups. This could lead to the exclusion of certain individuals from government services or the issuance of incorrect IDs.

Furthermore, there may be challenges in ensuring that all citizens and resident aliens are able to obtain a national ID, particularly those living in remote areas or those who lack access to necessary documentation. This could result in unequal access to government services and further marginalization of certain groups in society.

Project goals.

The primary goal of developing an AI-powered national ID generator and digitization system in the Philippines is to create a reliable and efficient identification system that can streamline government services and reduce fraud. The system aims to provide a single, secure, and verifiable national identification card for all citizens and resident aliens in the country.Specific goals for this project include: 1. Improving the efficiency and accuracy of government services: The national ID system aims to simplify and expedite government transactions, reducing the time and cost associated with obtaining various government-issued documents. 2. Enhancing national security and law enforcement: The system aims to provide accurate and verifiable identification of individuals, making it easier for law enforcement agencies to identify and apprehend criminals and terrorists. 3. Reducing fraud and identity theft: The system aims to prevent the issuance of duplicate IDs and fraudulent identification, improving the accuracy and reliability of government records. 4. Promoting financial inclusion: The national ID system could facilitate access to financial services and improve financial inclusion for those who currently lack formal identification documents. 5. Improving governance and transparency: The system could improve governance by providing a reliable and accurate database of citizen and resident alien information, allowing for better planning and decision-making by government officials.

Project plan.

  • Week 1

    Research previous work and Data Collection

  • Week 2

    Data Collection

  • Week 3

    Exploratory Data Analysis

  • Week 4

    Preprocessing

  • Week 5

    Model development

  • Week 6

    Model Training

  • Week 7

    Model Analysis

  • Week 8

    App Development

Learning outcomes.

Artificial Intelligence and Project Management

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