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Grant Award View - GA69058
Machine education for trusted multi-skilled evolutionary learners
GA ID:
GA69058
Agency:
Australian Research Council
Approval Date:
6-Jan-2020
Publish Date:
10-Jan-2020
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
6-Jan-2020 to 31-Dec-2024
Original: 6-Jan-2020 to 31-Dec-2023
Value (AUD):
$580,000.00
(GST inclusive where applicable)
Variations:
- GA69058-V3 - Variation to Grant (28-Feb-2024 )
- GA69058-V2 - Variation to Grant (20-Oct-2021 )
- GA69058-V1 - Variation to Grant (2-Aug-2021 )
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 19/20 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Machine education for trusted multi-skilled evolutionary learners
Purpose:
Transforming data assets into organisational knowledge assets sits in the hands of a few, highly specialised, data scientists. The aim of this research is to design educational instruments to support non-experts to teach artificial intelligence (AI) systems in a similar way to educating human teachers to teach human learners. The significance of the project lies in affording the wider smart, but not necessarily AI expert, community the ability to contribute to growing our knowledge-based society in a safe, transparent and trustworthy manner. Outcomes will include innovative instruments to teach machines, novel knowledge creation, trusted and transparent AI systems, and a new generation of human teachers specialised in educating AI systems.
GO ID:
GO Title:
Discovery Projects for funding commencing in 2020
Internal Reference ID:
DP20 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
The University of New South Wales
Recipient ABN:
57 195 873 179
Grant Recipient Location
Suburb:
KENSINGTON
Town/City:
KENSINGTON
Postcode:
2033
State/Territory:
NSW
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
NSW
Postcode:
2033
Country:
AUSTRALIA