Human-Centric AI & Security Seminar

The Human Factor in Intelligent Security:
Why the Success of AI Depends on Public Trust, Understanding and Participation

Speaker: Omar Haggag

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• Free

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Tina Wu

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Abstract:

As artificial intelligence becomes increasingly embedded in security, safety, public services, and everyday digital experiences, technical performance alone is no longer sufficient to determine success. The effectiveness of intelligent systems increasingly depends on how people perceive them, trust them, understand their capabilities and limitations, and ultimately choose to engage with them.

This talk explores the human side of AI-enabled security and decision-making. Drawing on recent empirical studies involving members of the public, it examines how individuals perceive emerging technologies, what drives trust and distrust, where misunderstandings commonly arise, and how these factors influence adoption, compliance, and societal acceptance.

The presentation will discuss key challenges at the intersection of human-centred AI, privacy, security, and public policy, including transparency, explainability, perceived fairness, and digital trust. It will also highlight practical lessons for researchers, practitioners, and policymakers seeking to design technologies that are not only technically robust, but also socially effective.

Ultimately, the talk argues that the future success of intelligent security systems will depend as much on human factors as on advances in algorithms and infrastructure.

Bio:

Dr Omar Haggag is a Research Fellow and Lecturer in the HumaniSE Lab within the Faculty of Information Technology at Monash University. His research focuses on human-centred artificial intelligence, privacy, cybersecurity, software engineering, digital trust, and the societal impact of emerging technologies.

He currently works on several nationally significant research initiatives, including projects funded by the Australian Government, investigating public perceptions of AI-enabled technologies, privacy and security in digital systems, and methods for developing more trustworthy and human-centred software and AI solutions.

His research has been published in leading international venues and has attracted interest from government, industry, and media organisations. His current work explores how human factors influence trust, adoption, and effective use of emerging technologies, with a particular focus on the intersection of AI, security, privacy, and public policy.