Generative AI: ‘Generations’ Of Biases
- IJLLR Journal
- Jul 15
- 2 min read
Anisha Mukesh Kedia, Jindal Global Law School, JGU
ABSTRACT
Generative AI has established a stronghold across sectors in the fast moving and ever developing age of technology. It possesses immense transformative power, such that its use and deployment by individuals, corporations etc, seems almost indispensable. However, Generative AI systems, like any other breakthrough technology, after the initial fervour now sees a period of budding pessimism and caution from its users and governments across the globe. The recent years have seen governments seeking to regulate and form workable governance structures for Artificial Intelligence tools. The technology undermines various human rights and other rights such as privacy, non-discrimination, right to work etc. This paper focusses on the right to non-discrimination and how the use of Generative AI impacts the same. It seeks to enquire how bias, especially stemming from gender and racial stereotypes, is reinforced through the use of Generative AI, and what are its larger implications in society considering its use and deployment for decision making across various sectors and industries- both public and private. The paper explores the current national and international legal frameworks, governance strategies and developer/ corporation-led reforms and their effectiveness in tackling the issue of biases, with special focus on India. It argues for international cooperation and reform to be embedded in a human rights taxonomy for effective redressal of the violations. Given the fast-moving nature of such technology, it is evident that governments and legal frameworks may find it difficult to keep pace with it. Thus, a principle- based approach to legislation, with multi-level stakeholder corporation and developer led reforms, focussed on transparency and risk management, may be best suited until comprehensive legislations may come into place. The paper also discusses various suggestions made by experts and academia, for addressing the issues of bias by adopting measures across the lifecycle of the Generative AI products.
