Ethical Considerations in AI-Based Marketing: Balancing Profit and Consumer Trust.

透明度(行为) 营销 营销伦理 数据库营销 个性化 问责 业务 利润(经济学) 公共关系 商业道德 计算机科学 市场营销管理 关系营销 经济 政治学 计算机安全 法学 微观经济学
作者
Swati Sharma Et al.
标识
DOI:10.52783/tjjpt.v44.i3.474
摘要

In the age of artificial intelligence (AI), marketing has evolved into a data-driven, personalized, and highly efficient discipline. AI-based marketing tools and algorithms offer businesses unparalleled opportunities to understand and engage with their target audiences. However, this technological advancement raises profound ethical questions regarding the intersection of profit-seeking and consumer trust. This paper explores the intricate relationship between ethical considerations in AI-based marketing and the delicate equilibrium between profitability and the preservation of consumer trust.The paper begins by delving into the ethical challenges that emerge as AI is integrated into marketing strategies. It emphasizes the importance of transparency and accountability in AI-based marketing practices. Highlighting the need for clear communication regarding data collection, AI utilization, and decision-making processes, the paper argues that transparency can serve as the cornerstone for fostering trust among consumers.Data privacy and consent form another critical aspect of ethical AI-based marketing. [1] It also stresses the need for robust data protection measures to safeguard customer information, thereby mitigating the risk of breaches and misuse.Balancing personalization with intrusion is a central theme, as AI enables hyper-targeted marketing campaigns. The paper underscores the importance of respecting user preferences and avoiding overly invasive tactics that may erode trust.AI-generated content is examined within the context of marketing ethics.Data security, customer profiling, accessibility, and ethical AI development are also discussed in detail as integral aspects of ethical considerations in AI-based marketing. It demonstrates that striking a harmonious balance between profit and consumer trust in AI-based marketing requires a proactive commitment to ethical principles. It advocates for responsible AI development, ongoing monitoring, and adaptability to evolving ethical standards. By adhering to these principles, businesses can maximize the potential of AI in marketing while ensuring that consumer trust remains a cornerstone of their success. Ultimately, the paper underscores the imperative for businesses to navigate the AI-based marketing landscape with a steadfast commitment to ethical considerations, thereby fostering enduring consumer trust and sustainable profitability.

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