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Research Details

The Causes and Effects of Algorithmic Decision Making

The Causes and Effects of Algorithmic Decision Making

Research Project by Gifted Gabber Alumni - Simran Saluja

Project's Result

Published in the Journal of Student Research: Access the Full Paper Here

 

Gifted Gabber Research Program

This impactful research was conducted during the 2022 Research Program at Gifted Gabber, under the guidance of Research Professor Rajagopal AppavuMentor Coach Jo and Mentor Mariana Ahorta

 

Research Summary

As algorithms become integral to decision-making in industries ranging from healthcare to finance, their influence on society grows exponentially. Simran Saluja’s research dives into the mechanisms, causes, and far-reaching implications of algorithmic decision-making, unraveling how these systems shape outcomes and affect individuals and organizations alike.

The study examines the biases embedded within algorithmic systems, exploring their origins and how they perpetuate inequities. It also delves into the unintended consequences of reliance on automated decision-making, such as ethical dilemmas, reduced accountability, and the loss of human discretion in critical processes.

Simran’s work highlights both the transformative potential and the inherent risks of algorithms, emphasizing the need for transparency, ethical oversight, and rigorous testing to ensure fairness and accuracy. By exploring the intersections of technology, ethics, and societal impact, this research provides actionable insights for developers, policymakers, and stakeholders aiming to harness the power of algorithms responsibly.

This groundbreaking contribution sheds light on the balance between innovation and ethical responsibility, advocating for a future where algorithms serve as tools for equity and efficiency rather than perpetuators of systemic bias.