The company should offer algorithmic system development policies that are easy to find and easy to understand.
Elements:
- Are the company’s algorithmic system development policies easy to find ?
- Are the algorithmic system development policies available in the primary language(s) spoken by users in the company’s home jurisdiction?
- Are the algorithmic system development policies presented in an understandable manner?
Definitions:
Algorithmic system development policies — Documents that outline a company’s practices related to the development and testing of algorithms, machine learning and automated decision-making.
Easy to find — The terms of service or privacy policy is located one or two clicks away from the homepage of the company or service, or is located in a logical place where users are likely to find it.
Easy to understand / understandable manner — The company has taken steps to help users actually understand its terms of service and privacy policy. This includes, but is not limited to, providing summaries, tips, or guidance that explain what the terms mean, using section headers, readable font size, or other graphic features to help users understand the document, or writing the terms using readable syntax.
Indicator guidance: The development and testing of algorithmic decision-making systems can pose significant risks to privacy, particularly when companies use user information to develop, train, and test these systems without the data subject’s informed consent. Companies should clearly disclose policies related to the development and testing of algorithmic systems that users can access, read and understand, in order to make an informed decision about whether to use a company’s products and services.
Potential sources:
- Artificial intelligence policy, including ethical commitment, principles, framework and guidelines, etc.
- Privacy policy or data policy
- Official blogs about AI development
- Help center
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