Cybersecurity advancements necessitate effective measures to combat rising and sophisticated threats. Artificial Intelligence (AI) and eXplainable AI (XAI) solutions have demonstrated significant capabilities in predicting and responding to cyber threats. Moreover, integrating AI components with Intelligent User Interfaces (IUI) has been explored as a promising approach, emphasizing user experience and interaction policies. Despite these advancements, the primary challenge remains addressing human errors, particularly those induced by cognitive biases. This paper provides an overview of possible recommendations on AI integration with cybersecurity systems and human cognitive bias mitigation solutions.
Mitigating Human Errors and Cognitive Bias for Human-AI Synergy in Cybersecurity
Cau F. M.
;Spano L. D.
2024-01-01
Abstract
Cybersecurity advancements necessitate effective measures to combat rising and sophisticated threats. Artificial Intelligence (AI) and eXplainable AI (XAI) solutions have demonstrated significant capabilities in predicting and responding to cyber threats. Moreover, integrating AI components with Intelligent User Interfaces (IUI) has been explored as a promising approach, emphasizing user experience and interaction policies. Despite these advancements, the primary challenge remains addressing human errors, particularly those induced by cognitive biases. This paper provides an overview of possible recommendations on AI integration with cybersecurity systems and human cognitive bias mitigation solutions.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.