Danielle Thaxton
Papers
1
Total Citations
10
H-Index
1
About
Danielle Thaxton is a leading researcher at the intersection of artificial intelligence, ethics, and human-robot interaction. Her work focuses on ensuring that social robots and intelligent consumer products are designed in alignment with emerging frameworks for trustworthy AI. Thaxton’s most cited paper, “Assessing the Alignment of Social Robots with Trustworthy AI Design Guidelines” (2021, 10 citations), critically evaluates how well current social robotic systems adhere to institutional recommendations for ethically aligned design. This contribution is particularly significant given the global push for responsible AI development, and it provides a practical benchmark for evaluating real-world technologies against high-level ethical principles. Thaxton’s research helps bridge the gap between abstract guidelines and tangible product design, offering actionable insights for engineers, policymakers, and ethicists. Her work is foundational for students and researchers seeking to understand how to operationalize trustworthiness in autonomous systems, and it underscores her role as a key voice in shaping the future of human-centered AI.
Research Focus
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Top Papers
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