The field of AI is evolving at an unprecedented pace, and as developers, we have a responsibility to ensure that the technology we create aligns with ethical principles that promote positive societal outcomes. To guarantee that our AI solutions have a positive impact on society and promote responsible usage, we’ve established a comprehensive Code of Responsible AI.
Our Code of Responsible AI represents our core values, which are central to Modulos’ mission and strategic vision. Our mission is to help global enterprises build fair, accurate AI applications based on Data-Centric AI while identifying sources of errors, noise, and bias in their data. The Code outlines the principles that ensure our product is designed to empower users to make responsible use of AI technology that delivers positive societal outcomes.
In order to identify the values in our Code of Responsible AI we have first scoped out our field of activities based on the NIST AI risk management framework. By doing so, we ensured that we focus predominantly on those values that are directly within our scope of influence. Within this scope of influence, we then selected those ethical values that are central to Modulos as a company and to our key stakeholders.
These core values are at the heart of our Code and guide our approach to AI development and deployment. We’ve identified associated values that are important but not directly within our scope of activities of the Code. Associated values are important for customers or other stakeholders to uphold in order to use our product responsibly. We plan to address them through choices in product design and accompanying information for their customers.
We are committed to upholding our core values and continuously evaluating and refining our approach to ensure that we are meeting the highest ethical standards in AI development. Our Code of Responsible AI represents our commitment to responsible AI and is a reflection of our dedication to ethical principles and positive societal outcomes.
Our mission is to help global enterprises build fair, accurate AI applications based on data-centric AI while identifying sources of errors, noise, and bias in their data. The Code outlines the principles that ensure our product is designed to empower users to make responsible use of AI technology that delivers positive societal outcomes.
The Code includes principles related to the use of high-quality and representative data, fairness, accuracy, avoidance and mitigation of bias, and non-discrimination.
A Commitment to Continuous Improvement in Responsible AI
We understand that Responsible AI is a fast-developing field that requires continuous learning, iteration, and adaptation. Therefore, we are committed to regularly reviewing and improving our approach to ensure that our work aligns with these principles as well as with the latest regulatory developments.
It is important to emphasize that this Code of Responsible AI is only the beginning. We see it as a work in progress, and we recognize that there is much more to be done to ensure that AI is developed and deployed responsibly. In the next step, we will assess how best to ensure that our customers use our product responsibly.
We also recognize that regulatory developments play a critical role in ensuring responsible AI development and deployment. We are committed to staying engaged with the broader AI community to promote the responsible development and deployment of AI and to stay up to date with the latest regulatory developments.
In conclusion, we believe that AI has the potential to revolutionize the way we live and work. Still, we must ensure that its development and deployment align with ethical principles that promote positive societal outcomes. Our Code of Responsible AI outlines the principles that will guide our work toward achieving that goal, and we are committed to continuous improvement and adaptation as we navigate this fast-developing field.
To learn more about our Code, click on the following button.