MICRON-NISTH Responsible AI Grant
The inaugural MICRON-NISTH Responsible AI Grant was launched on 6 February and closed on 24 February 2020. Opened to the NTU academic community, this seed grant of $10,000 is awarded to each team to develop proofs-of-concept, prototypes, conceptualisations, experiments, user studies and/or other initiatives that allow progression to the next phase. Over the three weeks, we have received numerous exciting interdisciplinary proposals on Responsible AI.
The following proposals are awarded $10,000 each after evaluation and comments from both the Micron and NISTH panel, with a special grant of $5,000 to the students’ proposal to develop their ideas further.
Designing AI to Stop Disability Bias
Gerard Goggin (WKWSCI) – PI
Wong Meng Ee (NIE) – Co PI
Andrew Prahl (WKWSCI) – Co PI
Rafael Calvo (Imperial College) – Collaborator
Algorithmic Justice: Rights-Based Approach to Design and Use of Artificial Intelligence
Althaf Marsoof (NBS) – PI
Andres Carlos Luco (SoH) - Co PI
Joty Shafiq Rayhan (SCSE) - Collaborator
Harry Tan (NBS) – Collaborator
An investigation of the Spreading Patterns of Misinformation on Social Media Surrounding the COVID-19 Outbreak in China
Zheng Yan (SCSE) – PI
Lu Jiahui (WKWSCI) – Co PI
Development of an interactive device for the elderly for prediction of Dementia
[Special Award for student proposal]
Mohammed Adnan Azam (MAE, NTC) – PI
Kunal Mishra (SBS) – Co PI
Naseer Ahmed Khan (SCSE) – Co PI
Prithviraj Ray (MAE) – Co PI
Asst Prof Li King Ho, Holden (Mentor)
Prof George Augustine (Mentor)
Prof Chen Shen-Hsing Annabel (Mentor)
About the Grant
The inaugural Micron-NISTH Responsible AI Grant Call
IntroductionThe Micron-NISTH Grant supports seed funding for interdisciplinary research on responsible AI. The grant seeks to spark ideas by leveraging both NISTH and Micron networks to support the conceptualisation, prototyping and pre-testing of problem statements.
A seed grant of $10,000 each will be awarded to three project teams to develop proof-of-concepts, prototypes, conceptualisations, experiments, user studies and/or other initiatives that allows progression to a next phase.
- All members of the team must be full time NTU academic, research staff or current PhD candidates
- Each team must include at least two members from at least two different colleges (e.g. one team member is from College of Engineering and one is from College of Humanities, Arts and Social Sciences)
Projects must be related to the investigation, understanding, or design of socially responsible AI. For example, this might include projects that are related to:
- The design of ethical or “socially responsible” AI systems, applications or algorithms;
- The application of principles of FAT (Fairness, Accountability, Transparency) in the design of AI systems, applications and algorithms;
- The use of AI systems, applications and algorithms to address:
- Complex social problems such as those related to healthcare, ageing, education, or inequality;
- Complex environmental problems such as those related to climate change or pollution; studying the relationship between responsible AI and legal liability;
- Developing methods of training researchers and engineers in responsible AI;
- Establishing publicly available data sets for the purpose of AI development in a responsible and ethically sound manner.
Applicants must submit their one-page proposal using the following application form via email to [email protected] by 24 February 2020, 5pm. Only submissions with a properly completed application form will be accepted for evaluation and assessment for awarding of grants.
At the end of the project, awarded teams will be invited to present their findings or outcomes. The date will be announced later.