The Usage And Proliferation of Generative AI, Is It Really Safe?: 2 Critical Risks And Mitigation Strategies
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Generative AI has the capability to generate various forms of content such as images, videos, texts, and voices, making it convenient. Recently, there has been a proliferation of widely available Generative AI services. However, there is also an increasing risk of malicious users abusing this technology. In this blog post, we will discuss the key security issues associated with Generative AI and introduce solutions to address them.
Risks of Generative AI
1. Generation of Deepfakes using Generative AI
One of the most prominent threats arising from the emergence of Generative AI is the creation of fake images, videos, and voice recordings for malicious purposes. This enables manipulation of public figures’ speech and dissemination of unreliable information.
2. Invasion of Privacy
Generative AI, when trained on private data, can inadvertently memorize and reproduce private information from that data. Consequently, it can lead to the leakage of specific individuals’ private information learned during AI training.
Mitigation Strategies
1. Development of Deepfake Detection Technology
Develop and deploy technology capable of identifying fake content like deepfakes, thus fostering trust in reliable detection methods.
2. Robust Data Transformation Techniques against Data Manipulation like Deepfakes
Implement techniques that completely transform the form of data upon detecting any manipulation, rendering it impossible to manipulate based on the original data. For instance, applying such techniques to a photo would cause it to become unusable for manipulation with deepfake-like technologies, as the photo itself would break apart. In fact, services like PIXAID provide such processing for images.
3. Protection of Data Privacy
When handling private data, utilize minimal information, apply techniques such as data anonymization and pseudonymization to protect personal information. Additionally, in cases involving sensitive information, protect data through methods such as generating synthetic data or applying differential privacy.
As such, while AI has made many aspects of our lives more convenient, it is a technology that requires careful consideration and response to security issues. A balanced approach is necessary to leverage the benefits of technological advancements while minimizing risks.
If you’d like to learn more about Creative AI and security issues, please explore our blog for further information.