The limitations of centralized AI systems become starkly evident when faced with the complex regulatory landscapes of today's world. These systems, though powerful, struggle with the nuanced demands of data privacy and compliance, presenting a gap between technological capabilities and regulatory requirements. To bridge this gap, the introduction of peripheral AI systems is suggested. Unlike current methods, such as Encord’s approach of uploading entire videos to the cloud, peripheral AI systems would process data locally, enhancing privacy and efficiency.
This approach is particularly transformative in fields like healthcare, where distributed AI can securely and anonymously handle data under stringent regulations like HIPAA. In the legal realm, such AI can anonymize and process data, offering a more sophisticated and privacy-conscious methodology for legal research and theory development.
The value created by this distributed AI approach is manifold. It addresses complex challenges without compromising data security or privacy. A cornerstone of this approach is homomorphic encryption, which ensures data confidentiality even in environments rich in sensitive data. In legal contexts, this technology facilitates secure, anonymous case analysis, allowing for a safe exchange of information and insights.
Another critical aspect is the balance between open-source and proprietary AI systems. Peripheral AI systems could leverage open-source models to enhance datasets while maintaining control and quality. The strategic decision to open source these datasets or keep them proprietary is pivotal and will shape the landscape of AI development and deployment.
By creating a peripheral nervous system for a cognitive internet, this approach aligns regulatory, technical, and commercial interests, advancing broader social, environmental, and economic goals. It's a journey towards not just technological innovation but also towards a better, more efficient, and safe world.
In conclusion, this decentralized and distributed approach to AI offers a new pathway to deliver value with reduced risk and enhanced user experience. It sets the stage for the evolution towards the Cognitive Web, where AI is not just a tool, but an integral part of our digital ecosystem, reshaping how we interact with data and information. This paradigm shift in AI deployment and utilization, focusing on peripheral systems, presents a promising future where technology and compliance coexist seamlessly, paving the way for a more secure, efficient, and ethically conscious digital age.
René Vergara-Fuentes
René is a co-founder, CEO and Head of Technology at Factorial Biomechanics.
Naimar Ramirez-Batlle
Naimar is a co-founder, CMO and Head of Marketing and Customer Success at Factorial Biomechanics.
Mariana Ortiz-Reyes
Mariana is a co-founder, CXO and Head of Product Experience and Chief of Staff at Factorial Biomechanics.