AI technologies, exemplified by tools like ChatGPT and others, have become increasingly influential in both business and society at large, prompting the attention of political leaders and regulators, including
A significant distinction in the AI landscape arises between horizontal large language models and vertical AI solutions. Vertical AI solutions, often provided by smaller, more specialized AI vendors, have a narrower focus. They typically draw data from consented sources and securely store it in dedicated repositories. In contrast, LLMs have faced backlash for utilizing data without explicit consent for training and content generation.
In my experience, vertical AI vendors are exerting double the effort compared to some enterprise technology players in constructing their AI systems. This effort is driven by their commitment to demonstrating the ethical responsibility of their systems and prioritizing data privacy and security. A secured approach guarantees that sensitive data never leaves the confines of the customer's dedicated repository, emphasizing privacy and confidentiality as top priorities.
Moreover, vertical AI vendors are not only building technology ethically and responsibly but also offering specific expertise and unique perspectives that can substantially contribute to the formulation of effective AI regulations. Here's why involving technology leaders from these vertical, specialized AI vendors in the regulatory conversation is essential.