The Rise of AI-Generated Videos on Social Media: Creativity, Authenticity, and Regulation In recent years, artificial intelligence (AI) has transformed content creation, especially on social media, where AI-generated videos have surged in popularity. These videos are created or extensively manipulated using AI technologies that employ machine learning to produce realistic human faces, movements, synthetic environments, or narratives. Users leverage AI tools to create videos that were once resource-intensive or required expert skills, resulting in widespread adoption across platforms. This growth has sparked vital discussions about creativity and authenticity in digital media. AI enables artists, influencers, and everyday users to rapidly bring imaginative ideas to life at low cost, democratizing video production and amplifying diverse voices in storytelling. However, questions arise over originality since AI models train on existing data, blurring the line between human-made and machine-generated content. This raises debates over credit, intellectual property rights, and the true nature of creativity. Additionally, easy access to AI tools raises concerns about misuse, particularly the creation of deepfakes—realistic but fabricated videos showing people doing or saying things they never did. Such content can spread misinformation, defame individuals, and violate privacy, posing serious societal risks that require close monitoring and response strategies. To tackle these challenges, social media platforms are exploring regulation methods that balance innovation with safety.

A key measure is transparency through labeling AI-generated or altered videos, helping viewers assess authenticity. Developing accurate detection technologies without stifling creativity is technically and ethically complex. Platforms also face the task of crafting policies that avoid censorship while preventing deception. Beyond labeling, collaborative efforts among tech companies, policymakers, and academia seek to create guidelines for responsible AI use in video creation. These initiatives aim to protect public trust and minimize risks linked to AI-generated media. Overall, the rise of AI-generated videos reflects a broader shift in digital content fueled by AI advances. While offering unprecedented creative possibilities and engagement, it challenges traditional ideas of authenticity and ethical content sharing. Moving forward, creators, consumers, platforms, and regulators must thoughtfully navigate these complexities. Embracing AI's potential alongside transparency and integrity will be crucial to cultivating a dynamic and trustworthy digital media landscape in the future.