statworx AI Principles 

We are convinced that with the technological advancement of AI, many opportunities but also great risks arise. To minimize these, we have developed our AI Principles that guide us as a company.

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Why ethical principles are important

Our principles are our compass when working with artificial intelligence

With the advancement of a technology that has such an impact on all areas of our lives come great opportunities but also great risks. There have been repeated cases where AI systems did not work as expected, systematically disadvantaged certain groups, or were used for ethically questionable purposes. 

As a result, any company or individual developing AI systems should think very carefully about the impact the AI system will or could have on society, specific groups, or even individuals. 

Our AI principles serve as a compass at our daily work and decision-making. They help us ensure that our developments and efforts support and empower people, while minimizing potential risks from the outset. 

Unsere Stärke

statworx is one of the leading consulting and development companies for data & AI in the German-speaking region.

We focus intensively on the interfaces between people, economy, society, environment, and AI technology.

Sebastian Heinz
Founder and CEO statworx

Our spotlight topics at a glance:

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R
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DataRobot
Palantir
nvidia
ml flow
AI Hub
Airflow
Shiny
Kubernetes
Docker
Spark
Dataiku
Google Cloud Platform
R
SAP
Databricks
Tensorflow
Python
Azure
aws
PyTorch
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years of experience in Data Science, ML, and AI

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clients from 10 industries and growing

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experts from more than 17 fields of study

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successfully implemented Data and AI projects

AI Principles

Seven principles for working with AI 

We have developed the statworx AI principles together with employees from the entire company. They describe optimal target states that serve as orientation for our work. 

Human-centered​

We believe that AI will transform all aspects of our world. We aim to create AI solutions that help and enable people in their life and work. When developing AI systems, we consider social, political, and economical factors while respecting cultural and ethical norms.

Ecological

The development, training and application of AI systems is resource intensive. We believe it is crucial to minimize the use of energy and computational hardware, and the related greenhouse gas emissions when working with AI.

Respectful

Introducing new technologies often comes with high impact. When developing AI systems, we seek to respect the interests, self-determination and privacy of all involved parties.

Fair 

The past has shown that AI systems may inherit unfair biases. This risk has high relevance for us when designing new AI systems. We strive to create solutions that treat all humans equitably and fair.

Transparent

AI systems are often perceived as black boxes whose decisions cannot be retraced. We consider it important, in most cases, to implement explainability measures to increase trust and understanding of the algorithm. Furthermore, we believe that people who use, interact with, or are affected by an AI system should be informed about the presence of AI and how decisions are made.

Collaborative

AI is a technology that comes with endless opportunities but also big challenges. We believe that a key to successful adoption of AI in Germany and Europe is to collaborate with different actors from economy, society and politics.

Inclusive

Most people interact with or are affected by AI systems day-to-day. We believe that everyone should face AI systems in a conscious, informed, and reflected manner. Thus, we contribute to the AI competencies and literacy of individuals.

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Marcel Plaschke
Marcel Plaschke
Head of Strategy, Sales & Marketing
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