What Are Black-Box LLMs, and Why Are They a Growing Concern in API-Based AI Models?
1 min read
Summary
Black-box LLMs (large language models) are AI models that are not open-source, making it difficult to see their training data, architecture and weight evaluations.
They are usually used in commercial AI APIs, cloud-based platforms and third-party AI services, and are useful for smooth integration, but present concerns over misuse, compliance and accountability in AI.
There are growing concerns over whether black-box models facilitate unauthorised use, inhibit transparency in compliance and accountability, and whether existing identification techniques are insufficient.
These factors can discourage innovation, disrupt fair competition and encourage unethical behaviour because it is difficult to regulate and detect unauthorised use.
The challenge of regulating the use of black-box LLMs is diminishing the benefits of using AI, highlighting the need for clearer guidelines and best practices.