Summary:
Singapour met en œuvre des mesures de transparence en matière d’IA, notamment le marquage numérique et une loi électorale contre les deepfakes. Cela vise à informer le public sur le contenu généré par l’IA et à maintenir la confiance durant les périodes électorales. Les initiatives clés incluent le Cadre de gouvernance de l’IA modèle pour l’IA générative publié en mai 2024, promouvant le marquage numérique et les techniques cryptographiques pour l’étiquetage du contenu, ainsi que la loi GE2025 qui interdit les deepfakes liés aux élections pendant les élections de Singapour en 2025, entraînant le retrait de 73 vidéos deepfake de TikTok en avril. L’interopérabilité mondiale future sur la gouvernance de l’IA est soulignée comme critique par la ministre du Développement numérique Josephine Teo.
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Singapore has emerged as a pioneering nation in the realm of artificial intelligence (AI) regulation, adopting a practical and forward-thinking approach to governing this transformative technology. The country is experimenting with digital watermarking and related transparency measures for AI-generated content while also legislating against deepfakes during electoral periods. These efforts highlight Singapore’s recognition of the potential benefits and risks of generative AI.
Legally, Singapore’s initiatives are grounded in the Model AI Governance Framework for Generative AI, updated in May 2024. This framework strongly advocates for the labeling of AI-generated content using digital watermarking embedded in visuals, videos, or text, alongside cryptographic techniques to secure metadata. Such measures aim to ensure accountability and traceability in the use of AI while maintaining a balanced approach; currently, there is no blanket law mandating this practice universally. The framework reflects Singapore’s broader commitment to fostering trust and safety in the AI ecosystem while stopping short of overregulation. Additionally, the country passed the General Elections (GE2025) Act, which specifically targets the dangers of deepfakes in elections. Implemented during the 2025 elections, this law led to the detection and removal of 73 deepfake videos from platforms like TikTok between April 15 and 19, significantly curbing misinformation.
Ethically, Singapore’s strategy resonates with global debates around AI governance. Transparency measures like digital watermarking contribute to addressing the growing problem of disinformation and deception enabled by generative AI. For instance, marking AI-generated content can allow users to discern authentic material from synthetic content, enhancing public trust. However, ethical questions persist around scalability, systemic bias, and enforcement, particularly in ensuring technology is not misused against dissenting voices or marginalized groups. Singapore’s targeted approach during elections mitigates such risks, focusing instead on safeguarding democratic processes.
From an industry perspective, Singapore’s approach signals a shift toward pragmatic regulation, setting an example for innovation-driven governance. Companies operating in sectors like media, advertising, and e-commerce, in particular, could see growing adoption of watermarking technologies as part of their compliance practices. For example, firms creating marketing visuals or user-generated content platforms could integrate such features to align with emerging standards. Moreover, Singapore’s emphasis on technological interoperability hints at its intent to set benchmarks for global AI governance, fostering cross-border cooperation and reducing regulatory fragmentation.
Concrete parallels may be drawn to China’s mandatory labeling requirements for AI-generated content and India’s growing interest in similar frameworks. By advocating for transparency while preserving flexibility, Singapore positions itself as a thought leader in AI ethics and policy, underscoring Josephine Teo’s assertion that a lack of international standards would result in a “messy” regulatory landscape.
In conclusion, Singapore’s focus on digital watermarking, election-specific deepfake legislation, and multi-stakeholder governance frameworks illustrates a measured, technology-driven approach to AI regulation. These developments offer a workable model for other nations, emphasizing the importance of adapting legal systems to the unique challenges posed by AI while considering ethical complexities and industry dynamics. As generative AI continues to shape societal and economic landscapes, Singapore’s policies could inspire a cohesive global framework for AI governance.