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In this episode of the Technology & Security podcast, host Dr. Miah Hammond-Errey is joined by Professor Ganna Pogrebna. They explore the intersections of behavioural data science, AI, cybersecurity, and technology adoption. The discussion covers urban-rural technology divides and the dilemmas faced by small businesses using "off the shelf" AI tools. It explores Australia's global position in quantum algorithms and cybersecurity innovation and digital twins, showcasing their role in simulating complex systems in cybersecurity and even nuclear decision-making.
This episode highlights the limits of machine learning for fighting misinformation, emphasising that humans still detect novel attacks better than algorithms. Ganna shares practical inclusion strategies that policy and industry leaders can adopt, such as "inclusion riders" in contracts to increase representation. The conversation closes on actionable ways to bridge the research-adoption gap, the evolving challenge of leading human–machine teams, and the enduring need for experimentation and resilience as technology, policy, and society evolve.
Highlights
🌏 Bridging urban–rural and global divides in technology use, access and security.
🛡️ Why digital twins are useful and how they can improve cybersecurity decision-making.
🕵️♂️ Human intuition still outpaces AI for spotting new cyber threats.
⚖️ How business incentives and KPIS are still a leading method for behavioural change.
🤖 Leadership now means leading people who are combinations of human–machine.
💡 Co-design, not just adoption, drives effective technology and security tools.
By Dr Miah Hammond-Errey5
22 ratings
In this episode of the Technology & Security podcast, host Dr. Miah Hammond-Errey is joined by Professor Ganna Pogrebna. They explore the intersections of behavioural data science, AI, cybersecurity, and technology adoption. The discussion covers urban-rural technology divides and the dilemmas faced by small businesses using "off the shelf" AI tools. It explores Australia's global position in quantum algorithms and cybersecurity innovation and digital twins, showcasing their role in simulating complex systems in cybersecurity and even nuclear decision-making.
This episode highlights the limits of machine learning for fighting misinformation, emphasising that humans still detect novel attacks better than algorithms. Ganna shares practical inclusion strategies that policy and industry leaders can adopt, such as "inclusion riders" in contracts to increase representation. The conversation closes on actionable ways to bridge the research-adoption gap, the evolving challenge of leading human–machine teams, and the enduring need for experimentation and resilience as technology, policy, and society evolve.
Highlights
🌏 Bridging urban–rural and global divides in technology use, access and security.
🛡️ Why digital twins are useful and how they can improve cybersecurity decision-making.
🕵️♂️ Human intuition still outpaces AI for spotting new cyber threats.
⚖️ How business incentives and KPIS are still a leading method for behavioural change.
🤖 Leadership now means leading people who are combinations of human–machine.
💡 Co-design, not just adoption, drives effective technology and security tools.

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