Workfloor

AI and data-driven applications offer great opportunities for the workplace. Yet the actual innovation process is often laborious, and many innovations fail. Why is this, and what role can employees take in this process?

Contacts

Pieter Duysburgh

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News

(NL) Three-day training ‘Responsible AI in Practice’

05.08.2026

Make AI literacy a priority this year

02.02.2026

(NL) Summer Blog: Discussing data-driven innovation in healthcare

29.07.2025

All news articles

Training AI in the workplace: how to create a win-win for all?

Are you involved with the digital transformation in your organisation? Are you striving for high-quality deployment of (AI) technology in the workplace?

In this training, we look at how data-driven and AI technology can be successfully deployed in your organisation, creating a win-win situation for both your organisation and all staff.

More information

Publications

Dive deeper into the theme with these publications.

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Blog

(NL) DigComp 3.0 beschrijft digitale competenties in tijden van AI

Welke digitale vaardigheden heb je nodig om effectief, kritisch en veilig digitale technologie te gebruiken? Op die...

Hanna Barakat Archival Images of AI A Ix DESIGN Textilesand Tech 2 2560x1778

Blog

(NL) Schrijf een scenario voor de toekomst van jouw organisatie

Hoe ziet jouw organisatie er in de toekomst uit? Welke rol wil je dat technologie daarin speelt? Door...

Jamillah Knowles Digit Pink Office 1280x720

brAInfood

brAInfood: What should you be mindful of when using GenAI?

Generative AI (GenAI) is a technology capable of creating things like text, images or music on its own. It offers...

brAInfood

brAInfood: Current state of platform work in Flanders and Belgium

Platform work is gaining popularity, but it also brings opportunities and challenges. In this article, we take a...

Popular tools

Tools to work with yourself or with your colleagues.

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A brightly coloured mural which can be viewed in any direction. It has several scenes within it: people in front of computers seeming stressed, a number of faces overlaid over each other, squashed emojis, miners digging in front of a huge mountain representing mineral resources, a hand holding a lump of coal or carbon, hands manipulating stock charts and error messages, as well as some women performing tasks on computers, men in suits around a table, someone in a data centre, big hands controlling the scenes and holding a phone, people in a production line. Motifs such as network diagrams and melting emojis are placed throughout the busy vignettes.

Een felgekleurde muurschildering die in alle richtingen bekeken kan worden. Het heeft verschillende scènes: mensen voor computers die gestrest lijken, een aantal gezichten over elkaar heen, geplette emoji's, mijnwerkers die graven voor een enorme berg die minerale bronnen voorstelt, een hand die een klomp steenkool of koolstof vasthoudt, handen die voorraadgrafieken en foutmeldingen manipuleren, evenals enkele vrouwen die taken op computers uitvoeren, mannen in pakken rond een tafel, iemand in een datacenter, grote handen die de scènes besturen en een telefoon vasthouden, mensen in een productielijn. Motieven zoals netwerkdiagrammen en smeltende emoji's zijn door de drukke vignetten heen geplaatst.

(NL) Engage employees in AI innovation in the workplace

How do you engage in dialogue about the impact of innovation on the workplace and work environment? These 4 roadmaps will help you engage with employees.

Workfloor

Illustration of two women collaborate in a professional setting, focused on their work, with a large vision board on the wall behind them.

Illustratie van twee vrouwen werken samen in een professionele setting, geconcentreerd aan hun werk, met een groot visiebord aan de muur achter hen.

(NL) Ethical logbook

With this log book, you identify ethical challenges in your innovation project, log the decision and attach action points to them.

Ethics in practice
Workfloor

Hanna Barakat Cambridge Diversity Fund Colossal Harvest 1280x1229

Human-AI collaboration cards

The Human-AI collaboration cards are made to discuss with end users what their ideal human-AI collaboration should look like.

Ethics in practice
Workfloor

Trainings and events

Enrich your knowledge with our events and tailor-made training courses.

View calendar View courses

Training

(NL) Training 'Responsible AI in Practice': Ethical and Legal Guidance for AI Projects (day 1/3)

This training course is for professionals who are involved in AI projects and want to gain a better understanding of the ethical, legal, and organisational issues involved.

12 Nov

On site

Training

(NL) Training 'Responsible AI in Practice': Ethical and Legal Guidance for AI Projects (day 2/3)

This training course is for professionals who are involved in AI projects and want to gain a better understanding of the ethical, legal, and organisational issues involved.

19 Nov

On site

Training

(NL) Training 'Responsible AI in Practice': Ethical and Legal Guidance for AI Projects (day 3/3)

This training course is for professionals who are involved in AI projects and want to gain a better understanding of the ethical, legal, and organisational issues involved.

26 Nov

On site

Workfloor

Contacts

Pieter Duysburgh

News

(NL) Three-day training ‘Responsible AI in Practice’

Make AI literacy a priority this year

(NL) Summer Blog: Discussing data-driven innovation in healthcare

Training AI in the workplace: how to create a win-win for all?

Publications

(NL) DigComp 3.0 beschrijft digitale competenties in tijden van AI

(NL) Schrijf een scenario voor de toekomst van jouw organisatie

brAInfood: What should you be mindful of when using GenAI?

brAInfood: Current state of platform work in Flanders and Belgium

Popular tools

(NL) Engage employees in AI innovation in the workplace

(NL) Ethical logbook

Human-AI collaboration cards

Trainings and events

(NL) Training 'Responsible AI in Practice': Ethical and Legal Guidance for AI Projects (day 1/3)

(NL) Training 'Responsible AI in Practice': Ethical and Legal Guidance for AI Projects (day 2/3)

(NL) Training 'Responsible AI in Practice': Ethical and Legal Guidance for AI Projects (day 3/3)

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