Using AI responsibly

AI can solve many of society’s sustainability and efficiency challenges, but there are ethical implications of using such technologies. In Visma we want to ensure that our solutions are implemented with people in mind.

Visma follows these principles in the design, development and deployment of ethical and sustainable AI:

Human-centric

 

 

Our mission for AI is to extend human abilities. We supervise our AI solutions and are ready to intervene, improve and mitigate issues where needed.

Transparent, explainable, fair and unbiased

We aim to proactively explain the development, use and results of our AI solutions in a user-friendly way. Also continuously test for skewed results or biases.

Privacy and data protection

 

Our AI development is based on privacy by design. We strive to use only the minimum data necessary for every step of development and encrypt or anonymise data where possible.

Accountable

 

We take responsibility for our AI solutions to give our users confidence, and provide a point of contact for questions, directly or through our trusted partner network.

Safe, secure and sustainable

Our AI solutions are designed and deployed securely and robustly, defended from adversarial attacks, to prevent misuse and reduce the risk of being compromised or causing harm.

 

Work with AI in Visma

Do you also want to work with cutting-edge technology and at the same time help over a million customers run their businesses every day and let them focus on what they love? Explore our open positions in the field of AI

Open positions

TechTalks about #AI

Latest blog posts about #AI

Colleagues sit in the office and discuss machine learning in front of the whiteboard.

Democratising Machine Learning through Hugging Face

🤗 Hugging Face is a company that democratises AI by making models available to everyone. Find out how Visma's Machine Learning Assets team is contributing to the cause by giving back to the community, in the field of Document AI.

A diagram showing a closed loop for AI evaluation.

Garbage in, Gospel Out – The Unrealistic Expectations of AI

AI has been a buzzword for quite some time. And as a professional in the field, you may have gotten the question: “Can’t we just use some AI?” In this article, you’ll get the needed support to explain why AI is or is not a good solution, through a framework to anchor your arguments. We call it the AI Evaluation Loop.

A man sits in a room and looks at his computer surrounded by natural light flowing in from the windows.

Planning work schedules gets even easier with automated shift design

Shift planning has never been easier. With shift generation, Visma Resolve’s newest extension to the Automatic Rostering module, you can automatically get optimal shifts designed for your departments’ needs. As always, the module also assigns employees to the created shifts to ensure an efficient and fair schedule.

Two colleagues sit in a cheery office and speak with a third person, not visible.

Working with AI is working with people

In-house AI product development has become feasible for most software companies due to developments within available talent, scalable infrastructure and increased data quality. But how ready are software companies on the one hand, and customers on the other, to deliver and consume AI products, respectively?