Team Members

Manish Bhatia

Jeremy Ashley

Smit Patel

Jason Yav

Darsh Solanki

Ulisses Biancardi


Former Research Team Members (Alumni) ▼

Alivia DiPrimeo

I'm a rising third-year Computer Science student at Drexel University with hands-on experience in Java, Python, C, and Racket. Through my coursework and a Software Engineering internship at Amazon, I've developed a strong foundation in programming and software development, especially in Java. What really drives me is finding ways to bring creativity into the tech world. I love taking an idea or using my creativity to bring something to life with my technical skills.


Nathan Thomas

I'm a Computer Science and Math undergraduate at Drexel University with a passion for creative problem-solving. I've led community-driven projects and events, from debugging code to organizing impactful student activities. Whether it's algorithms, digital systems, or event coordination, I'm all about building things that matter.


Joseph Lewis

I'm a third-year Computer Science major with a focus in game design. I've worked with fellow students to create games at Drexel, and now I'll be serving as the YouTube Manager for AI Atelier. My role is to help showcase all the work the team is doing and bring our projects to a wider audience.


Miraj Yafi

I'm currently a rising third year majoring in Computer Science at Drexel University. My coursework has provided me with a solid foundation in programming with languages such as Python, Java, and C and object-oriented programming principles. I've applied this knowledge to build personal projects and web applications using HTML, CSS, and JavaScript for the frontend, along with Flask and Python for the backend. In the future, I hope to pursue areas related to fullstack development.


Amaro Truong

I'm a third-year Software Engineering student at Drexel University. I've been part of a research effort with Drexel University and the University of Bremen in Germany, focusing on chip security using dummy transistors and adaptive models. I've worked as a Teaching Assistant, helping students with software projects using agile methodologies, and I'm currently interning at Microsoft, contributing to ongoing work with the interaction AI and Networking with protocols like MCP and A2A. As Research Lead for AI Atelier, I'll help guide new explorations at the intersection of AI and ethics.


Lyutfiya Yussupova

I'm a second-year Computer Science student at Drexel University, concentrating in Computer Graphics, Vision & Interaction, and Software Engineering. I recently accepted a position as an Event Coordinator for Drexel's Women in Computing Society, where I help plan events that promote diversity and engagement in tech. I also work as a Support Systems Engineer for Drexel's Office of Sponsored Programs, assisting with system optimization and digital workflow improvements. Previously, I interned as a Web Developer at Chocofood in Kazakhstan, developing user-centered web applications. I'm passionate about building innovative, ethical technologies and love connecting technical skills with creative storytelling.


Vedika Agnihotri

I'm a second-year Computer Science student at Drexel University. I've worked as a Security Analyst for Drexel University and led the Third Party Risk Management project during my time there. I take a strong interest in cybersecurity and ethics in tech, which led me to join AI Atelier to research AI ethics and ideate curriculum in this field. I'm excited to be a part of this venture!

Project Overview

This research project investigates the ethical challenges posed by AI-generated and AI-modified video content, focusing on issues of copyright infringement, non-consensual content generation, and the tension between content moderation and freedom of expression. With a special focus on recent ACM CHI papers from the past five years, the study analyzes how human-computer interaction researchers have addressed these concerns through empirical studies, design frameworks, and policy recommendations. Topics explored include the unauthorized use of copyrighted material in AI-generated media, the psychological and societal harms of deepfake pornography, and how communities and platforms navigate the moderation of politically, religiously, or culturally sensitive AI content.

Research Goals

  • Understand user trust in AI-generated content
  • Analyze social and political risks of deepfakes
  • Design and evaluate ethical interventions

Methods & Tools

  • Survey-based studies and interviews
  • Qualitative coding of case studies
  • Figma prototyping for transparency UI

Updates

Biweekly updates and reflections will be added to this page as the project unfolds.