Irene Sucameli
Papers
1
Total Citations
44
H-Index
1
About
Irene Sucameli is a leading voice in the ethics of human-machine interaction, with a sharp focus on gender bias within conversational agents and social robotics. Her most-cited work, "Gender Bias and Conversational Agents: an ethical perspective on Social Robotics" (2022, 44 citations), critically examines how developers intentionally embed gendered cues into AI to optimize performance, often at the cost of reinforcing harmful social stereotypes. Sucameli’s research exposes the ethical pitfalls of designing machines that mimic human social norms, arguing that such practices can perpetuate systemic inequalities. By bridging philosophy, computer science, and gender studies, she provides a framework for more responsible AI development. Her contributions are particularly impactful in the growing field of social robotics, where her work challenges the industry to prioritize ethical integrity over mere functionality. Sucameli’s scholarship is essential reading for anyone interested in building fairer, more inclusive technologies—her insights are not just academic but a call to action for designers and policymakers alike.
Research Focus
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Top Papers
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