AI in India – The Urgent Need for a Policy-Based Marketing Approach

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Anjna Dubey

Abstract

The intersection of Artificial Intelligence (AI) with both law and marketing offers unique challenges and opportunities, making it a critical area for policy development and research. AI’s role in these fields extends beyond basic application, requiring a deeper understanding of reasoning, representation, and learning. In law, AI helps in not only reaching legal conclusions but also in justifying, comparing, and evaluating alternatives. Similarly, in marketing, AI drives innovation by analyzing consumer behavior, personalizing experiences, and automating decision-making processes. In modern domains such as e-commerce, AI aids in data mining, addressing grey areas, and retrieving relevant information to optimize legal and marketing strategies. Despite being relatively new—AI in law and marketing has only matured over the past three decades—AI’s ability to generate intelligent outcomes through algorithms, patterns, and rules is clear. These technologies can provide intelligent results without human-like cognition, enabling the creation of actionable legal decisions and personalized marketing solutions. This paper examines the strengths and weaknesses of current AI technologies, focusing on their applications in both the legal and marketing sectors. It also highlights how AI can significantly impact the practice of law, marketing strategies, and the need for robust policies to manage AI integration effectively.

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How to Cite
Anjna Dubey. (2023). AI in India – The Urgent Need for a Policy-Based Marketing Approach. European Economic Letters (EEL), 13(3), 2114–2119. https://doi.org/10.52783/eel.v14i3.2035
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