Michael:
Artificial intelligence has been around for many years, but has recently exploded into the wider public consciousness for the first time in just the last few months. What was once a relatively niche technology that had high barriers to access, has become instantly accessible to anyone with a digital device and internet access. Moreover, the technology can now attempt a much wider range of tasks, with varying levels of success, that we previously may have believed to have been solely in the human domain of capabilities. In this talk I’ll highlight the key things that have changed to make this so and provide an intuitive understanding for how these technologies work. I’ll take everyone on a tour of the impressively wide but sometimes flawed range of capabilities these systems now possess, and highlight the key issues and opportunities, especially as pertains to the nature of future work. One of the particularly interesting changes to watch out for will be whether these new technologies increase or decrease the barriers that traditionally marginalized sectors of the workforce have faced in finding work, including in the disability sector.
Tricia:
• How we have deployed Generative AI / Large Language models in a corporate context
• Lessons learned along the way
• AI and inclusivity
• The need to keep the human at the centre.
Presenters
Professor Milford conducts interdisciplinary research at the boundary between robotics, neuroscience, computer vision and machine learning, and is a multi-award winning educational entrepreneur. His research models the neural mechanisms in the brain underlying tasks like navigation and perception to develop new technologies in challenging application domains such as all-weather, anytime positioning for autonomous vehicles. From 2022 – 2027 he is leading a large research team combining bio-inspired and computer science-based approaches to provide a ubiquitous alternative to GPS that does not rely on satellites. He is also one of Australia’s most in demand experts in technologies including self-driving cars, robotics and artificial intelligence, and is a passionate science communicator. He currently holds the position of Joint Director of the QUT Centre for Robotics, Australian Research Council Laureate Fellow, Professor at the Queensland University of Technology, and is a Microsoft Research Faculty Fellow and Fellow of the Australian Academy of Technology and Engineering.
Tricia is Chief Commercial Officer at AutogenAI. She has spent over 30 years working for some of the UK’s largest IT and Outsourcing companies, generating sales in excess of £4bn. She holds a degree in English Literature and an MBA in Strategic Discourse – and is passionate about the power of language – including business language – to motivate, inspire and create change in the world. Having put in the ‘hard yards’ of bid writing throughout her career, she also knows that the Proposal industry is way overdue for a technological breakthrough – which is the reason she joined the leadership team at AutogenAI.