AIML welcomes Kate Klimeš, Program Manager for new RAIR Centre

AIML extends its warmest welcome to Kate Klimeš, Program Manager for its newly established Responsible AI Research (RAIR) Centre.

Kate comes to AIML from La Trobe University in Melbourne where she was Program Manager with the Innovation & Entrepreneurship Team. As PM, she ran several accelerator programs for founders both within and outside of Australia, including startups at pre-seed as well as more established companies with customers looking to scale globally.

Kate brings tremendous experience and success within both the public and private sectors where she has worked for over 20 years. She’s led logistics and transportation teams for Japanese, U.S. and Finish companies and served as Program Manager for a 3-year national cyber security project with the Australian government. She also worked for a family business that created a gaming startup that was sold to the U.S.

Kate’s extensive experience drew her to the RAIR Program Manager position as well as the opportunity to work with those who may be intimated by AI.

“I was drawn to the opportunities that the role offered, especially opportunities to work with founders and communities for whom AI must feel very overwhelming and scary,” she said. “I think that de-mystifying and un-packing the fear factor [around AI] is so important."

“I’m looking forward to exploring opportunities to support and showcase the next generation of researchers and to identify ideas that can be developed and globally scaled to benefit all,” she added. “I’d love to have played a small part in the successful career journey of our amazing researchers and students, and in identifying and supporting responsible AI globally through the RAIR Centre.”

The RAIR Centre was established in December 2024 and seeks to ‘combine the expertise of AIML with CSIRO’s Data61 to attract top research talent to South Australia and establish cutting edge initiatives in responsible AI.’ The Centre is focussed on four distinct themes: tackling misinformation; making AI safe in real world applications; developing AI systems that can accurately assess their own knowledge limitations and reliably express uncertainty; and developing AI that understands cause-and-effect relationships particularly in complex and dynamic environments.

For more information on the RAIR Centre, please visit https://www.adelaide.edu.au/aiml/our-key-initiatives/responsible-ai-research-centre