Leonard Bauersfeld, Angel Romero, Manasi Muglikar and Davide Scaramuzza, Author at Social Science Space

Leonard Bauersfeld, Angel Romero, Manasi Muglikar and Davide Scaramuzza

Leonard Bauersfeld (pictured) is a Ph.D. student at the Robotics and Perception Group at the University of Zurich. He researches first-principle based and data-driven models for quadrotors. Angel Romero is also a Ph.D. student in the Robotics and Perception Group. He researches classic control and learning based control for autonomous flight. Manasi Muglikar is also a Ph.D. student at the Robotics and Perception Group. She researches event-based vision, vision-based navigation and more. Davide Scaramuzza is a professor of robotics at the University of Zurich, where he works on the autonomous navigation of microdrones and directs the Robotics and Perception Group.

A finger pointing at a network of people.

Maintaining Anonymity In Double-Blind Peer Review During The Age of Artificial Intelligence

The double-blind review process, adopted by many publishers and funding agencies, plays a vital role in maintaining fairness and unbiasedness by concealing the identities of authors and reviewers. However, in the era of artificial intelligence (AI) and big data, a pressing question arises: can an author’s identity be deduced even from an anonymized paper (in cases where the authors do not advertise their submitted article on social media)?