Language is not neutral; it frames understanding, structures power, and shapes governance. This paper argues that misnomers like cybersecurity and artificial intelligence (AI) are more than semantic quirks; they carry significant governance risks by obscuring human agency, inflating expectations, and distorting accountability. Drawing on lessons from cybersecurity's linguistic pitfalls, such as the 'weakest link' narrative, this paper highlights how AI discourse is falling into similar traps with metaphors like 'alignment,' 'black box,' and 'hallucination.' These terms embed adversarial, mystifying, or overly technical assumptions into governance structures. In response, the paper advocates for a language-first approach to AI governance: one that interrogates dominant metaphors, foregrounds human roles, and co-develops a lexicon that is precise, inclusive, and reflexive. This paper contends that linguistic reform is not peripheral to governance but central to the construction of transparent, equitable, and anticipatory regulatory frameworks.

Pogrebna is a pioneer in behavioural data science – a field that combines behavioural science and data science techniques to better understand, model and predict the behaviour of humans, algorithms and complex systems in the face of risk and uncertainty. "I warmly welcome Professor Pogrebna to the University and look forward to working with her to establish the Cybersecurity and Data Science Institute," Charles Sturt pro vice-chancellor (Research and Innovation) Professor Mark Evans said. "Professor Pogrebna comes to the University with a wealth of experience. This includes being the Lead of the Behavioural Data Science strand at The Alan Turing Institute – the national centre for AI and data science in London where she is also a Fellow working on hybrid modelling approaches between behavioural science and data science (e.g. According to Evans, Pogrebna helps leaders in businesses, charities and the public sector better understand why they make the decisions they make and how they can optimise their behaviour to achieve higher profit, better social and commercial outcomes, and bolster the wellbeing of their teams. Pogrebna said her goal as executive director of the Cybersecurity and Data Science Institute is to avoid'building a silo'. "I have spent several weeks visiting our researchers across the University's campuses and became aware of the incredible work they are doing," she said. "The new Institute will aim to support our local talent and build on it, seeing how we can develop new research collaborations in Australia as well as internationally.

International Business Machines (IBM) - Get Report and Advanced Micro Devices (AMD) - Get Report said they began a development program focused on cybersecurity and artificial intelligence. The development agreement will build on "open-source software, open standards, and open system architectures to drive confidential computing in hybrid cloud environments," the companies said in a statement. The agreement also will "support a broad range of accelerators across high-performance computing and enterprise critical capabilities, such as virtualization and encryption," they said. AMD, Santa Clara, Calif., is one of the world's biggest chipmakers and is thriving. IBM, the storied Armonk, N.Y., technology services company, has struggled to regain the glory of its past, when it led the computer-making industry.

In an always advancing cyber threat landscape where antivirus programming and firewalls are viewed as tools of antiquity, companies are currently searching for all the more technologically advanced methods for protecting classified and sensitive data. Artificial intelligence (AI) is accepting the situation as a warrior against digital threats over the globe. It has gotten mainstream in military space, yet security organizations are likewise consolidating AI technologies for using deep learning to discover likenesses and differences within a data set. Organizations like Microsoft are putting 1 billion USD in AI-based organizations, for example, Open AI. As indicated by ESG research, 29% of security experts would like to utilize AI innovation to accelerate the virus detection process.