The increasing prevalence of AI-powered systems and autonomous agents requires a shift in how we approach software development. It is critical to explore technologies, policies, and collaborations that enhance trust in software applications, particularly in an era where AI agents play an active role in decision-making.
Key areas of focus include:
Trustworthy infrastructure – Making sure that the infrastructure where the projects run are to be trusted
AI agents & their alignment – Ensuring AI agents operate safely and ethically. Trusting AI agents to maintain legacy code.
Secure AI software development & AI model security – Developing robust frameworks for secure AI systems.
Education & training – Bridging the AI skills gap through specialized training programs.
Policy & regulatory frameworks – Defining best practices and governance mechanisms for trustworthy AI-driven software.
