Afroditi Filippas
Papers
1
Total Citations
11
H-Index
1
About
Afroditi Filippas is a researcher at the forefront of human-AI interaction, specializing in trustworthy AI, augmented robotics, and human-in-the-loop systems. Her most-cited work, "AI Augmentation for Trustworthy AI: Augmented Robot Teleoperation" (2020, 11 citations), addresses a critical barrier to AI adoption in high-risk sectors: the lack of trust in autonomous systems. Filippas proposes a framework where AI augments rather than replaces human operators, preserving human oversight while enhancing performance. This contribution is pivotal for fields like healthcare, manufacturing, and disaster response, where full autonomy is risky. By designing systems that balance machine efficiency with human judgment, she advances the concept of "augmented intelligence" over pure automation. Her work has been recognized for its practical implications in building safer, more reliable AI deployments. Filippas continues to explore how AI can empower humans in complex, high-stakes environments, making her a key voice in the movement toward responsible AI integration.
Research Focus
Key Achievements
Top Papers
- 1AI Augmentation for Trustworthy AI: Augmented Robot Teleoperation11 citations · 2020