Who bears responsibility when AI systems go wrong?
When a surgeon makes an error during a procedure, the legal framework of medical negligence helps attribute responsibility. But what about if the surgical tool itself is to blame? It gets even more complicated when you introduce tools that have been designed by an artificially intelligent system. We speak to DR DAVID DOUGLAS
Enhancing Indigenous data sovereignty in environmental decision-making
We contributed to a project to help understand might we design and use digital technologies from an ethical position that prioritises Indigenous perspectives and knowledge practices.
Super-intelligent AI – social saviour or world threat?
RI FSP Director Justine Lacey recently participated in a panel of ethical thinkers and technical experts to discuss how we can ensure super-intelligent AI can benefit rather than burden society.
New paper: Responsible Innovation with CARE principles of Indigenous data governance
Applying CARE principles for Indigenous data governance to guide big data collection, analysis and translation practice
Embedding responsible innovation thinking in the next generation of STEM professionals
How can we ensure that future science and technologies are designed with socially responsible innovation principles top of mind?
Harvesting data responsibly – a new short course
A collaboration between two of CSIRO’s Future Science Platforms has led to the first Australian short course on responsible innovation in agri-technology
Science integration: responsible advancement of synthetic biology
Combining the natural and social sciences when planning and conducting research in synthetic biology is an important step towards responsible science.