Overview
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Explore the emerging privacy and security challenges posed by robots transitioning from industrial settings to intimate spaces like homes and healthcare facilities in this 15-minute conference talk. Examine how physical robots equipped with advanced sensors and AI capabilities introduce novel data protection considerations that extend beyond traditional cybersecurity frameworks and conventional IoT security models. Discover the unique privacy implications when robots collect biometric data and behavioral patterns through always-on sensors, from household assistants capturing conversational data to service robots handling sensitive patient information. Learn privacy-by-design principles specifically tailored for robotic systems, identify critical vulnerabilities in human-robot interfaces, and gain practical strategies for implementing robust privacy protections in increasingly automated environments. Understand how these edge cases require new approaches to privacy preservation in human-robot interactions and develop actionable insights for navigating the complex intersection of robotics, AI, and data privacy in our evolving technological landscape.
Syllabus
Diana Initiative 2025-Erin Relford-Sponsored Session: When Machines See: Navigating Privacy...
Taught by
Confreaks