About
Paving the path to more responsible artificial intelligence
While AI is solving major challenges and transforming industries, there are serious concerns about its ability to behave and make decisions that are ‘responsible’.
Bridged Gaps
between AI/machine learning engineering, software engineering and social sciences – the fundamentals for responsible AI.
New Frameworks
and best practices for helping Australian SMEs design and develop responsible AI software solutions.
Better Resources
for automated quality assurance of responsible AI. These are theories, techniques and tools tested with industry partners.
Cross-Cutting Capabilities
for better design, implementation, testing and maintenance of robust, responsible AI-based systems.
Holistic Approach
to automating the deployment, monitoring, governance and continuous improvement of analytics models and software components.
Greater Awareness
of responsible AI software in the IT industry, ensuring this underpins future solutions and algorithmic decisions.