Basic information of the Research Area

[Trusted quality AI systems]Core technologies for trusted quality AI systems

Research Supervisor

Akiko AizawaProfessor, Digital Content and Media Sciences Research Division, National Institute of Informatics

Strategic Objective

Trusted AI

Overview

Artificial Intelligence (AI) technologies are being applied to a rapidly expanding range of applications in the world at large, and have become indispensable for the creation of new value in scientific, social and economic spheres. However as a consequence of their “black box” nature, facing built-in biases and other such limitations, “deep learning” and other machine learning technologies present a variety of reliability/safety related issues that must be addressed before widespread application.
Therefore our Research Area involves creating fundamental technologies, and constructing AI systems that incorporate these fundamental technologies, leading to the realization of trusted quality AI that humans can use widely and safely in society. In our research we also address such issues as the definition and assessment of the reliability/safety of Human-centric AI systems, the determination of requirements for such systems, and the establishment of technologies to meet those requirements.
More specifically, we direct our efforts toward the following research and development areas:
(1) Revolutionary/evolutionary AI technologies toward the realization of trusted AI.
(2) Technologies to ensure the reliability and safety of AI systems expected from a Human-centric society.
(3) Technologies to ensure data reliability and support human decision making within a Human-centric AI society.
Through these efforts we aim to open avenues to the resolution of various social issues, promote the creation of new science and value, foster a community for research into trusted AI and related fields, and heighten the presence of Japanese research within such fields.
This research area is managed as part of the AI, big data, IoT, and the cyber security integration project developed by the Ministry of Education, Culture, Sports, Science and Technology (AIP Project).

Research Area Advisors

Click here to see the List of Research Area Advisors

Schedule of Selection Process

Deadline for application 2022/06/07 at 12:00 noon, Japan time
Document-based review 2022/07/13
JST will contact to the interviewees no later than 2022/07/20
Interview-based review(※)
※Interview date and time will be assigned by JST.
2022/08/03

Research Supervisor's Policy

Research Supervisor's Policy of this Research Area can be downloaded from below.

Japanese-French (JST-ANR) Joint Research Calls

JST and the French National Research Agency (Agence Nationale de la Recherche; “ANR”) concluded a Framework Agreement in December 2017.

The purpose of this Agreement is to foster Japanese-French collaboration in scientific research and to fund joint research projects conducted by Japanese and French partners eligible for funding from each agency, within the framework of the JST-CREST program.

In FY2022, JST has agreed with ANR to establish the following two CREST Research Areas as common priority research areas and to invite Japanese-French joint research proposals, as well as regular (non-joint) proposals:
Exploring Innovative Materials in Unknown Search Space
Core technologies for trusted quality AI systems

Excellent joint research projects, in which complementarities of research expertise and synergetic effects of research groups of the two countries can be expected, are highly welcome to apply. For selected joint research projects, JST(CREST) will fund Japanese research groups and ANR will fund French research groups in accordance with the regulations and policies applicable to each agency.
Please refer to “Overview” and “Research Supervisor’s Policy on Call for Application, Selection, and Management of the Research Area” of each Research Area for details.

“Overview” and “Research Supervisor’s Policy on Call for Application, Selection, and Management of the Research Area”

Exploring Innovative Materials in Unknown Search Space
Core technologies for trusted quality AI systems

Application Process

  1. To apply, principal investigators (PIs) from the Japanese and French sides will write a common joint research proposal and submit it to JST and ANR in parallel. The joint research proposal should be written in English using the Common Application Form.
  2. PI from French side will apply and submit the common joint research proposal to ANR.
  3. PI from Japanese side will apply and submit the common joint research proposal to CREST via the e-RAD system with a summary of research proposal in Japanese.
  4. JST and ANR will evaluate proposals in parallel and make common funding decisions.
  5. Funded research projects will start in October or later.

Attentions