First Assignment: Student Presentations on Equity and Ethics in AI

Presentation Topics
1. Question on Bias and Fairness:
   How can AI developers identify and mitigate bias in machine learning algorithms to ensure fair treatment of diverse user groups? Consider specific examples and approaches to measure and address bias in AI systems.
   Team 1:
   Team Leader: Kunal Sangurmath
   Team Members: Pruthviraaj Umesh, Sasanka Akili, Antonio Moura, Aditya Shriyan, Ethan Mulcahy, Emry Hankins, Mo Hasaba
   Presentation Slides
   Team 2 Team Leader: Kunal Singh
   Team Members: Adi Edelhaus, Dhanush Kanchan, Adarsh Katigi, Rounak Burman, Sukruth Kotturu, Saketh Maddineni
   Presentation Slides
2. Question on Transparency and Accountability:
   In what ways can transparency and explainability be integrated into AI systems to foster trust and accountability? Explore the challenges and benefits of making AI decisions understandable to users and stakeholders.
   Team 5 (Top Rated):
   Team Leader: Emilia Morgan
   Team Members: Emilia Morgan, Heechul Choi, Wayan Price, Oluwakorede Adeyini, Chisom Onyenji
   Presentation Slides
   Team 3:
   Team Leader: Nehal Thakkar
   Team Members: Jyostna Sree Somisetty, Keerthana Krishnappa, Sasank Varanasi, Carl Lang, Ahmed Fassassi, Duksing Chau
   Presentation Slides
3. Question on Social Impact and Inclusivity:
   Discuss the societal impact of AI applications and the ethnical consideration in ensuring inclusivity. How can AI be developed and deployed to benefit diverse populations while avoiding the reinforcement of existing social inequalities?
   Team 4:
   Team Leader: Kaif Khalifa
   Team Members:Jack Lazzaro, Georgie Payne, Abeco Rwakabuba, WaiHeng Tam, Mehya Tambi
   Presentation Slides