As the CEO of Deep Media, a leader in deepfake detection and disinformation security, I recently had the privilege of contributing to the UK government's call for views on AI security. This initiative, spearheaded by the Department for Science, Innovation and Technology (DSIT), marks a significant step forward in addressing the complex challenges posed by artificial intelligence in our increasingly digital world.

First and foremost, I want to commend the UK government for their proactive and collaborative approach. Their commitment to developing comprehensive guidelines, a voluntary Code of Practice, and plans for a global technical AI security standard through ETSI demonstrates a clear understanding of the need for robust, internationally aligned measures.

However, as we delve deeper into the realm of AI security, it's crucial that we shine a spotlight on an often overlooked aspect: the unique challenges posed by image, audio, and video Generative AI. These modalities represent a frontier where the potential for both innovation and misuse is immense.

Why is this so important? Unlike text-based AI, visual and auditory content has an immediate, visceral impact on viewers. It spreads faster across digital platforms and has the power to erode trust in our very perception of reality. We've already seen real-world implications of this: in one alarming instance, a voice cloning scam resulted in a staggering $25 million fraud.

To address these challenges, we need a multi-faceted approach:

1. Cross-industry alignment: We must bring together device manufacturers, software providers, GenAI developers, social media platforms, and government organizations to create a cohesive ecosystem of trust.

2. Standardized benchmarks: Developing uniform measures to evaluate the effectiveness of detection and prevention technologies is crucial for driving innovation and ensuring accountability.

3. A harm-focused regulatory framework: While recognizing GenAI's potential for revolutionizing self-expression, we need nuanced regulations that target potential harms without stifling innovation.

The UK government's proposed Code of Practice is a solid foundation, but I believe we can enhance it further. For instance, we should incorporate specific guidelines for multimodal AI security, implement content authenticity mechanisms, and develop comprehensive threat models for image, audio, and video manipulation.

At Deep Media, we're committed to contributing our expertise to this vital conversation. We stand ready to support the development of technical standards, sharing our insights on deepfake detection algorithms, content authentication, and frameworks for assessing AI-generated content risks.

The rapid advancement of GenAI technologies presents both unprecedented opportunities and challenges. By addressing these head-on, with a focus on cross-industry collaboration and harm prevention, we can create a safer, more secure AI ecosystem that benefits all of society.

I'm optimistic about the future of AI security, and I believe that initiatives like this one from the UK government are crucial steps toward realizing the full potential of AI while safeguarding against its misuse. Let's continue this important dialogue and work together to shape a future where innovation thrives alongside trust and security.