Introduction

Based on the core technology and research and development (R&D) capabilities of Taiwan’s information and communications technologies (ICT) industry, the demand of niche markets will be vertically integrated in the future to accelerate the development of an artificial intelligence (AI) service ecosystem, and encourage Taiwanese companies to enter the global AI system value chain, which will continue to strengthen the development of Taiwan's information and digital industries. The application service development environment (AI HUB) is linked to supply and demand resources and facilitates cross-sector and cross-industry co-creation to drive the development of AI in the industry. We hope to provide guidance to drive AI upgrade and transformation of related local industries, and jointly create a blueprint for the development of AI in industries by organizing an industry AI special interest group (SIG) with associations, facilitating industry applications to assist industries with digital transformation.

Application requirements

I. Eligibility

1. The proposal unit is an association that has been registered as a legal person in accordance with domestic laws and regulations or other units established with the approval of the competent authority.

2. The proposal unit must be willing to cooperate with the service team included in the 2024 AI HUB project of the Administration for Digital industries (ADI), Ministry of Digital Affairs (MODA). Both parties intend to jointly encourage the industry to implement AI technology applications, and help the industry quickly enter the stage of AI upgrading and transformation.

List of service teams in 2024:

        (1) Northern Taiwan Service Team: Institute For Information Industry (III)

        (2)Central Taiwan Service Team: Tai Chung Computer Association

        (3)Southern Taiwan Service Team: Southern Taiwan Industry Promotion Center

3. Be familiar with the development of AI applications in the industry and take stock of member AI readiness, and be able to properly complete the work of the Industry AI SIG.

II. Contents

Encourage companies to develop AI solutions through the application of AI technologies in coordination with the project’s overall direction for implementing industry AI, and create AI application examples through field trials. The 2024 Industry AI SIG Application Must Knows does not set an industry theme. The industry association that submitted the proposal will check "First time applicant" or "Previously selected." Those that are selected into the Industry AI SIG must additionally explain the development blueprint and implementation items of AI applications in the industry, take stock of the current status of AI applications, the results and subsequent diffusion of the AI implementation, verification, and guidance items selected for the year, and plan the subsequent diffusion and market planning for the items.

III. Application process

▲Please supplement the documents within one working day after notification.

IV. Application timetable

*The organizer reserves the right to adjust the above schedule.

1. Applications for the project must be submitted online. Please make sure to complete the electronic registration and submit the documents before 12:00 on February 19, 2024 (Monday).
2. Contact information:

V. Required Documents

1. Project application form (see the attachment for the format)
2. Scanned file of association (legal person) registration certificate (proof of registration)
3. Proposal brief (see the attachment for the brief format)

VI. Implementation Work

1. The applicant must sign a cooperation contract with its service team after being selected into the Industry AI SIG.
2. Provide a list of 20 requesting units that may be visited for diagnosis, and be present during the visits and diagnosis.
3. Organize 2 sharing or symposium exchange events. (At least 10 companies must attend each event)
4. Provide information related to the industry ecosystem as a blueprint for industrial development.
5. Assist in facilitating 3 to 4 cases (limited to 4 cases), recommend the industry AI implementation, verification, and diffusion proposals of companies, and follow up on the implementation status of companies.
6. Assist companies with improving the contents and presentation of project reports, clarify and respond to review opinions of committee members (proposal tasks (Note 1), mid-term report, final tasks (Note 2)).
7. Assist in arranging on-site visits to companies and display the highlights of results.
8. Assist in investigating the current status of AI development by related companies in the industry.
9. Report on implementation results and briefings in coordination with project implementation, and perform tasks related to the AI HUB.

Note 1: Proposal tasks - Assist in aspects proposed by committee members, such as key points of AI technology applications, data collection, AI algorithm description, and specific industry benefits.

Note 2: Final tasks - Assist in aspects proposed by committee members, such as the contents of the checkpoint document is too simple, the KPI is inconsistent, or actual implementation results are not clearly explained.

VII. Important Notes

1. Personal data regulations: The collection, processing, and use of personal data by the applicant to implement this project must comply with the Personal Data Protection Act and other relevant laws and regulations.
2. None of the documents submitted for application will be returned to the applicant, regardless of whether the application passes or fails review.
3. All application documents must be typed. When the executing organizer reviews proposal documents and finds that the content is unclear, inconsistent, obvious typing errors, or signature errors, it may notify the applicant to provide an explanation to confirm the correct content.
4. Review committee members will review the application brief. The applicant must personally attend the review meeting to give a briefing. Failure to attend without a legitimate reason will be deemed as forfeiting.

VIII. Review Items and Standards

The review committee will review the submitted materials according to the following key points of review and select the best candidates.