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Ozge Demirci
Paolo Mengano
Eleonora Brandimarti
Lihi Idan
Tu Ni
Fabrizio Dell’Acqua
Hossein Alidaee
Chirag Agarwal
Yejia (Richard) Xu
Sofie Cairo
Brian Baik

Discipline: Applied Science, Computer Science, Data Science, Engineering

Lab: Trustworthy AI Lab

Role: Doctoral Student

Topic: AI / Machine Learning, Data & Analysis

What I do

I dedicate my work to researching and enhancing the reliability of AI models, while also developing innovative solutions to ensure the safety and responsible use of AI technology.

What I care about

I am deeply passionate about discussing and addressing the ethical implications of AI, including topics such as trust, fairness, transparency, and accountability in AI systems, as well as exploring ways to mitigate biases, enhance interpretability, and promote responsible AI adoption.

How I connect to the D^3 Mission

With my focus on the trustworthiness and safety of AI, my background aligns closely with the D^3 mission by emphasizing the importance of responsible and ethical adoption of digital technologies. By exploring innovative solutions and promoting ethical guidelines, I aim to contribute to the development of responsible AI practices, enabling organizations to thrive in the digital world while educating the next generation of leaders on the ethical considerations surrounding AI.

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