Manuscript Number : SHISRRJ236157
Ensuring Ethical and Safe Digital Spaces: Conceptualizing AI and Machine Learning-Based Solutions for Media Content Moderation and Regulation
Authors(3) :-Chigozie Emmanuel Benson, Chinelo Harriet Okolo, Olatunji Oke The rapid expansion of digital platforms has brought unprecedented opportunities for global connectivity but has also amplified the prevalence of harmful content, including misinformation, hate speech, and other unethical online behaviors. This paper explores the critical role of artificial intelligence (AI) and machine learning in ensuring ethical and safe digital spaces through advanced media content moderation. It begins by defining ethical principles such as transparency, fairness, and inclusivity, which form the foundation for effective moderation practices. The capabilities of AI-driven systems in identifying, classifying, and filtering harmful content are discussed alongside their limitations, including biases and challenges in scalability. Regulatory and policy considerations are also examined, including frameworks for stakeholder collaboration, safeguarding privacy, and adherence to international standards. Finally, recommendations are provided to enhance the deployment of responsible AI systems, emphasizing interdisciplinary collaboration, algorithmic improvement, and global policy alignment. This paper argues that the integration of ethical principles, technological advancements, and collaborative governance is essential for creating safe, inclusive, and equitable digital environments.
Chigozie Emmanuel Benson Ethical Content Moderation, Artificial Intelligence in Media Regulation, Digital Governance, Privacy and User Rights Publication Details Published in : Volume 6 | Issue 4 | July-August 2023 Article Preview
Aljazeera Media Network - Doha, Qatar
Chinelo Harriet Okolo
First Security Discount House (FSDH), Marina, Lagos State, Nigeria
Olatunji Oke
Lagos Indicator Magazine, Lagos, Nigeria
Date of Publication : 2023-08-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 135-146
Manuscript Number : SHISRRJ236157
Publisher : Shauryam Research Institute
URL : https://shisrrj.com/SHISRRJ236157