Digital Deception: Uncovering the Dark Side of AI in Social Networks

Regulating Artificial Intelligence in Social Networks

Author(s): Abha Kiran Rajpoot* and Sana Anjum

Pp: 175-187 (13)

DOI: 10.2174/9798898810030125040013

* (Excluding Mailing and Handling)

Abstract

The growth of artificial intelligence (AI) in social media has brought significant improvements in user experience, content delivery, and personalization. But this also raises privacy concerns, ethical considerations, and the potential for algorithmic bias. This chapter highlights the urgent need to manage social intelligence by focusing on striking a balance between innovation and ethical considerations. While regulation is necessary, striking the right balance between supporting AI innovation and addressing ethical issues is critical. Regulators should promote creativity and technological advancement and support responsible AI development and deployment. Managing social skills is a complex task that requires thoughtfulness and balance. It is essential to strike a balance between new technologies and ethical considerations to make social relationships safe, fair, and beneficial for all. Lawmakers, tech companies, and civil society must work together to create regulatory frameworks that support responsible intelligence while maintaining critical engagement capability. Artificial intelligence (AI) in society requires a balance between innovation and ethics. This principle encourages greater transparency by requiring platforms to demonstrate smart strategies to improve user understanding and create accountability.

Ethical rules: They are important for fairness, diversity, and inclusion and aim to reduce the bias inherent in AI-driven content selection and recommendations. Privacy measures must be in place to protect user data from illegal AI-powered surveillance and ensure compliance with strict data protection laws. Fighting misinformation requires using algorithms to quickly and effectively combat false content generated by AI. The effectiveness of the framework is under constant evaluation and modification, enabling rapid changes in management models with the rapid development of artificial intelligence technology. Collaboration between governments, science and technology organizations, researchers, and civil society is essential to create policy changes that encourage innovation while supporting standard practices. Ultimately, this policy aims to support the artificial intelligence ecosystem in dialogue and improve relations while protecting people's interests and rights.


Keywords: Artificial intelligence, Digital marketing, Machine learning, Online advertising, PPC advertising, Social media marketing.

Related Journals
Related Books
© 2025 Bentham Science Publishers | Privacy Policy