Source: The National Law Review

The article discusses the increasing demand for ranking and evaluating AI platforms according to legal, compliance, and ethical standards in the United States. Regulators are considering new frameworks to ensure that AI systems are transparent, fair, and accountable, and that users can compare platforms based on objective criteria.

AI developers and users are encouraged to proactively assess their platforms for risks such as bias, lack of explainability, and data security weaknesses, as these factors will become key benchmarks for regulatory approval and market acceptance. The article also explains that failure to comply with ranking standards may result in legal liability and exclusion from certain markets.

The emerging trend points toward mandatory audits, standardized risk scoring, and stronger enforcement mechanisms, signaling a significant shift in how AI is governed and trusted in the US.