Saifr-Risk-Interpretation
Saifr-Risk-Interpretation
Version: 1
SaifrLast updated November 2024
text generation
Companies operating in the financial sector are heavily regulated. Their communications with the public may have to comply with rules governing broker-dealer communications or investment adviser advertising, or both. Financial regulations are critical as they safeguard investors and maintain the health of capital markets. However, compliance can be manual, time-consuming, and costly. If mismanaged, an organization can face reputational damage and hefty fines. Such regulations often require that content meant for public distribution undergo review, tracking, and compliance verification. Saifr’s mission is to make regulatory compliance faster, less expensive, and more accurate via human augmentation. Saifr has created natural language processing (NLP) models that scan content and can highlight potentially noncompliant language, thereby helping users reduce regulatory risk exposure. If you need to access to the model artifacts, please contact contact@saifr.ai

Intended Use

The Risk Interpretation Model is aimed at providing critical insights into potentially noncompliant sentences as per FINRA Rule 2210. It is designed to operate after identifying sentences that may not be compliant. Upon receiving a sentence that may not be compliant based on FINRA Rule 2210 and SEC Marketing Rule, the model's task is to provide a reasoning or rationale for its potential noncompliance. It works by dissecting the sentence and identifying the potentially noncompliant elements, thereby offering insight into why the sentence might not adhere to relevant regulations.

License

The use of this model is subject to the Saifr License Agreement available at: https://saifr.ai/azure-custom-license Use of Saifr’s models is subject in all respects to the custom license agreement between Saifr and the end user. Saifr models are not intended to replace the end user’s legal, compliance, business, or other functions, or to satisfy any legal or regulatory obligations.  Note that all compliance responsibilities remain solely those of the end user and that certain communications may require review and approval by properly licensed individuals. Saifr is not responsible for determining compliance with rules and will not be liable for actions taken or not taken based on model use.

Sample Inputs and Outputs (REST)

Example Request

You can use cURL or any REST Client to send request. Just add your token and test.
    curl https://<url.com> -X POST -d '{ "sentence": string }' -H "Authorization: Bearer <TOKEN>" -H "Content-Type: application/json"

Sample Input

{ "sentence": string }
where-
  • sentence: A noncompliant sentence.

Sample Output

{ "input_sentence": string, "explanation": string }
where-
  • input_sentence: Input noncompliant sentence.
  • explanation: Explanation for the noncompliant sentence.
Model Specifications
Context Length2048
LicenseCustom
Training DataSept 2024
Last UpdatedNovember 2024
Input TypeText
Output TypeText
PublisherSaifr
Languages1 Language