Winning Articles

Best Article Award

Liability Attribution in Civil Suits Involving Discriminatory AI Algorithms in Light of Growing Ambiguity About Copyright Infringement Laws: An Analysis With Respect to the Issues of Civil Rights, Recidivism and Freedom of Speech (Samanyu Ganesh)

Innovative Research Award

A Revolutionizing Solution to Medication Non-Adherence (Chaelsey Park)

AI Advocacy Award

The use of artificial intelligence in weaponizing social media (Angela Sidhu)

All Accepted Articles

 A Revolutionizing Solution to Medication Non-Adherence 

Author: Chaelsey Park

Abstract: Artificial intelligence offers a wide array of ways to better medication adherence, one being the utilization of predictive analytics. By analyzing patient data, such as medical history and lab results, AI can be able to predict drug effects, non-adherence, and other complications using algorithms. This allows for early intervention by healthcare professionals, thus improving the healthcare system and individualizing drug delivery so that patients are more likely to adhere to their prescriptions. 

Optimized Rationality and the concept of Explainability in Artificial Intelligence 

Author: Peter Onyilo

Abstract: This academic inquiry delves into the intricate terrain of artificial intelligence (AI) through the lens of the widely acclaimed Generative Pretrained Transformer 3 (GPT-3). Focused on a specific computational task—calculating age relative to one’s elder sister—the study showcases GPT-3’s computational acuity and its adept articulation of the logical implausibility of one being older than their elder sibling. 

Artificial Intelligence: An Analysis of Its Ripple Effects on Industry and Society

Author: Jerry Chen

Abstract: The emergence and proliferation of artificial intelligence (AI) has resulted insignificant transformations globally, redefining traditional operations and values. This paper delves into the potential long term effects of AI, outlining both the immediate benefits of AI and future shifts due to its integration into industry and society.

Liability Attribution in Civil Suits Involving Discriminatory AI Algorithms in Light of Growing Ambiguity About Copyright Infringement Laws: An Analysis With Respect to the Issues of Civil Rights, Recidivism and Freedom of Speech

Author: Samanyu Ganesh

Abstract: AI-based civil suits have sprung up against Google’s object recognition software, the YouTube algorithm (which supposedly suppresses creators of color and LGBTQ+ creators), Facebook’s ad-targeting system, Microsoft and ChatGPT, Beauty.ai, and the COMPAS recidivism algorithm, which, in tandem, display the overall evolution of product liability attributions as the data science landscape has begun to boom in the past decade. A compelling historical anecdote that lays the foundation for the breadth of analysis of these case studies. I then suggest my own legal/statute-based solution to regulating free speech and copyright issues that stem from these AI-caused harms.

Navigating the Shifting Sands of Work in the Age of AI

Author: Siyanda Nguluve

Abstract: As artificial intelligence reshapes the global workforce, this article delves into the challenges and opportunities it presents. Through the lens of personal experiences, historical insights, and recent studies, it delves into the crucial themes of adaptability, the evolving job landscape, and the essential call for responsible AI integration. It emphasizes that our journey goes beyond merely accepting change; it is about actively shaping it with empathy and foresight.

The Use of Artificial Intelligence in Weaponizing Social Media

Author: Angela Sidhu

Abstract: Social media has increased accessibility for both accessing information and posting it. This has created informational warfare, in which groups have the ability to sway users’ political, economic, social, and ideological views on loosely-regulated social media. Artificial intelligence (AI) has become a tool for actors to leverage in swaying public opinion. Currently, AI is able to produce deepfakes and fake images with little ability to be accurately detected. In the future, AI has potential to expand its abilities and optimize its current uses. AI can be used for sentiment analysis and personal content created, further pushing users into echo chambers full of content only they agree with, exploiting their confirmation bias. AI in conjunction with social media shows potential to manipulate users subconsciously, having emotional and ideological ramifications.

Use of Generative Adversarial Networks (GANs) in Anomaly Detection

Author: Cindy Wang

Abstract: In a world growing increasingly digital, the applications of anomaly detection are expanding, particularly in cybersecurity and in real-world monitoring. The development of anomaly detection models comes with various challenges. In current literature, a plethora of solutions are explored, including the use of generative adversarial networks in expanding the scope of anomaly detection. However, the use of GANs in this field has not been fully explored. This paper aims to review and analyze current solutions for improving the development of detection algorithms, along with proposing future areas for research and improvements to be made.