Authenticity
As the advancement of generative AI increases, it becomes harder to determine the authenticity of a piece of work. Photos that seem to capture events or people in the real world may be synthesized by DeepFake AI. The power of generative AI could lead to large-scale manipulations of images and videos, worsening the problem of the spread of fake information or news on social media platforms (Gragnaniello et al., 2022). In the field of arts, an artistic portrait or music could be the direct output of an algorithm. Critics have raised the issue that AI-generated artwork lacks authenticity since algorithms tend to generate generic and repetitive results (McCormack et al., 2019).
ENTITY
2 - AI
INTENT
3 - Other
TIMING
2 - Post-deployment
Risk ID
mit544
Domain lineage
6. Socioeconomic and Environmental
6.3 > Economic and cultural devaluation of human effort
Mitigation strategy
1. Systemic Content Provenance and Authentication: Mandate the adoption of open technical standards, such as those established by the Coalition for Content Provenance and Authenticity (C2PA), to cryptographically embed verifiable metadata and digital watermarks into all content at the point of creation. This ensures persistent traceability, allowing for algorithmic and human verification of content origin, modification history, and authenticity throughout the digital lifecycle. 2. Deploying Advanced AI-Native Detection Mechanisms: Invest in and integrate state-of-the-art AI/Machine Learning models, including deep neural networks, to conduct real-time, forensic analysis of digital media. These systems must be continuously updated and trained to identify the evolving, subtle, and non-obvious artifacts, inconsistencies, and anomalies inherent in synthetic content, such as irregular blinking, unnatural movements, and texture irregularities. 3. Mandatory Transparency and Digital Literacy Frameworks: Establish clear, organizational, and regulatory policies that necessitate the unambiguous disclosure and labeling of all AI-generated or manipulated content. Simultaneously, implement recurring, comprehensive digital literacy and cybersecurity training programs for all stakeholders to cultivate a critical-validation culture and equip individuals with the conceptual and practical knowledge required to discern genuine from fabricated information.