Fairness and equality:

AI development should not exploit, discriminate or bias against any group of people. AI should focus on enhancing the human, not replacing the human. We are continually striving to improve our AI models and data collection methods to reduce biases and provide unbiased outcomes. 

Accountability:

AI should be developed in a way that does not cause harm to the living world. We adhere to best practices in algorithm development to identify and mitigate biases in our AI systems, ensuring that our technology is as unbiased as possible. 

Transparency:

We are transparent about our efforts to mitigate bias, and we regularly update our stakeholders on our progress. 

Privacy and security:

No one should have their rights to privacy abused in the creation or deployment of AI systems. Any data used for training networks should be compliant with local  privacy legislation  and be securely stored.  AI systems should be secure to prevent tampering for example to introduce bias or other undesirable traits.

We invite our users, partners, and the AI community to collaborate with us in ensuring that AI technologies benefit all, without discrimination or bias.

Implementing Inclusive Hiring Practices:

 We actively seek diversity in our hiring process, ensuring equal opportunities for candidates from all backgrounds. By building a diverse workforce, we enrich our perspectives and better reflect the communities we serve. 

Collaborating with Diverse Partners:

We actively seek collaborations with diverse suppliers, vendors, and community organizations. This way, we extend our commitment to DEI beyond our workplace and into the broader ecosystem. 

Advocacy and Social Impact: 

We engage in advocacy efforts and support causes that promote diversity, equity, and inclusion in society. By leveraging our platform, we aim to drive positive change and inspire others to do the same. Cultivate a safe space for open dialogue and shared experiences among all our stakeholders.