“Social Impacts of AI – Powered Online Reviews : An Ethical Consideration”

Abstract

In the era of AI-powered online reviews, ethical considerations have assumed a central role in shaping the digital marketplace. This abstract explores key ethical issues surrounding these reviews, including algorithmic bias, transparency, data privacy, authenticity, and their implications. Algorithmic bias in review recommendations raises concerns about fairness, while a lack of transparency challenges accountability. Data privacy and informed consent are pivotal in the age of personalized reviews. Detecting fraudulent or AI-generated reviews remains a persistent challenge, impacting the credibility of review platforms. To address these concerns, robust ethical guidelines, advanced fraud detection mechanisms, and transparency measures are essential. Governments and regulatory bodies are actively considering regulatory frameworks to ensure responsible AI use. Balancing the potential benefits of AI- powered online reviews with ethical considerations is crucial to foster trust, fairness, and accountability in the digital marketplace.