Praelexis Responsible AI

We Create Value with Data-Driven AI Solutions for a Sustainable Future

What is Responsible AI?

Responsible AI systems are aligned with human values, such as data safety, accountability, transparency, and robustness. Praelexis' values align with the Sustainable Development Goals of the UN, to ensure that we innovate for a better world.  At Praelexis, we call it “Heartificial Intelligence”.

RAI
28

Privacy

Data may only be used for specific purposes, after explicit consent, and with a right to delete. Training AI should take place with anonymous or obfuscated data and de-anonymisation confirmed.

12

Justice

The prevention of bias and ensuring inclusion of a diversity of stakeholders. Attributes like gender, age, race, disability, pregnancy or potential proxies should not skew outcomes.

29

Transparency

This entails clearly revealing how AI systems work, including their algorithms, data sources, and biases, fostering trust and accountability in their use.

30

Reliability

The consistent and accurate performance of AI systems across different situations, ensuring dependable decision-making through rigorous testing and monitoring.

Featured Blogs

How to survive a data science interview

You always have to prepare for a data science interview. This entails focusing on your soft skills and your technical...

What to consider when applying for a data science internship

So you’re thinking about applying for a data science internship? There are a few things you need to consider when...

Stay up to date

Subscribe to our newsletter.

Get started

Engage with us on your data science journey.