Ethics in AI

Modzy is leading by example—committed to the idea that together, we can build AI free of bias, discrimination and that upholds a set of ethics principles

TRANSPARENCY

Marketplace model offerings should endeavor for transparency and explainability, in order to increase trust in AI by end users and other stakeholders. Allowing a clear understanding of how the model functions is key to ensuring the end user can identify the right opportunities for use, trust in the outcomes or predictions, and mitigate the effects of bias as it is detected.

TECHNICAL ROBUSTNESS AND SAFETY

Marketplace model offerings should perform to declared standards and not cause unintentional harm. Model providers are required to submit verifiable metrics on performance, as well as to furnish relevant technical and training data descriptions so that end users can make informed choices to enable the missions or business needs they serve.

PRIVACY AND DATA GOVERNANCE

AI should aspire to prevent harm; respect for privacy and protection of data on individuals are fundamental to fulfilling this requirement. This includes not only adherence to applicable laws, but ethical employment of data derived through technological processes.

DIVERSITY AND FAIRNESS

The Modzy Marketplace should enable diversity and fairness through inclusive, equitable, and appropriate model offerings that respect the rights of all. Modzy will not tolerate any model offerings that are not lawful and beneficial to society.

ACCOUNTABILITY

Marketplace model offerings should be designed and perform in a way that provides governance and auditability. This necessitates appropriate controls and performance monitoring mechanisms in order to detect shortfalls in performance or the emergence of issues with fairness, privacy, or security.