Ethical Deliberations in Artificial Intelligence

Abstract

With the expansion in Artificial Intelligence (AI), its profound impression has transitioned from a theoretical framework to the real world with pervasive repercussions in the contemporary world. This widespread emergent technology’s pace and infiltration inevitability result in ponderings over ethical questions delicately tied to AI’s inherent nature. The purpose of this research article is to explore the fundamental question whether an AI ethical framework is required for addressing the moral quandary arising from the AI systems?  The paper examines normative ethical theories such as utilitarianism, deontology and ethical value to explore whether these theories are applicable in devising an AI ethical framework as foundation principles for framing policies, regulations and laws? The article divulges upon four ethical dimensions such as transparency, privacy of data, responsibility and algorithmic bias in finding out the gaps between existing scenario of AI systems’ vulnerability to discrimination, unfairness, data breaches, and privacy erosion. The evolutionary journey of AI manifests the complexity of AI models’ functioning. The entrance of Generative AI and Large Language Model (LLM); for the creation of contents, texts, images and videos; has marred the thin line between truth and falsehood. The paper acknowledges the benefits produced by AI in the domains of education, learning, health care, entertainment etc., The research article maintains its stance in minimizing the potential harm arising from the AI systems and maximizing benefits for the world at large. The article takes a cursory look at regulations surrounding AI at global level. Simultaneously, the article recommends the cautious considerations to deal with ethical questions gradually arising from increased AI’s interaction with humans.