Reducing Bias and Racism in Secure Software Development with Human-Centric Goals for Security

Dr. Sanaa Alwidian’s research focuses on addressing racism and bias in the design and development of secure software systems. While cybersecurity has traditionally emphasized protecting systems and information from threats, her work argues that security must also protect people fairly and equitably. As digital technologies increasingly shape access to privacy, information, and essential services, her research highlights the need to build software systems that are not only safe, but also socially responsible and inclusive. 

A central contribution of Dr. Alwidian’s work is the development of inclusive HUman-centric Goals for Security, or HUGS. These goals identify security requirements and design principles that explicitly consider fairness, accessibility, inclusion, and equity. Her research shows that security measures that may appear neutral on the surface—such as authentication methods, privacy settings, or access controls—can have unequal effects on different groups, sometimes creating unintended barriers for communities that have historically faced discrimination in technology.

Based on these findings, Dr. Alwidian recommends that organizations consider equity, diversity, and inclusion from the earliest stages of the software development life cycle. Rather than treating fairness and accessibility as afterthoughts, developers should engage diverse stakeholders, assess potential biases, and incorporate inclusive security requirements throughout the design process. Her work has implications for software developers, cybersecurity professionals, policymakers, and organizations seeking to create secure systems that are trustworthy, accessible, and equitable for all users.