Abstract visualisation of data networks and artificial intelligence
📷 images/problematiques-bandeau.jpg
Abstract AI visual: a network of dots or stylised code

There is no simple solution. All these questions address the same societal issue: how AI is transforming our lives, professions and organisations.

They concern all of us because they ask what we want to do with these technologies, as well as what they require us to understand, decide and examine critically.

Each brief presents a challenge: a tension, a fundamental question and a field to explore. It is a source of inspiration, not yet the precise problem statement your team will seek to solve.

Once you have chosen the challenge, you will anchor it in a specific context: higher education, business or the creative industries Your first conversations with stakeholders will then help you formulate an initial problem statement.

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01

Does AI really understand cultural contexts?

Speaking a language does not mean understanding a culture. A joke, a silence or a polite phrase can completely change the meaning of a message, and AI does not always recognise it.

Translation Marketing Customer service
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02

When AI gets it wrong, who answers for it?

An AI cannot go to prison. Yet decisions made by algorithms change lives. Somewhere in the chain, someone must answer for them. But who?

Recruitment Healthcare Justice
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03

Is AI making us all say and create the same things?

When everyone asks the same tool for the same thing, everyone ends up saying the same thing. Distinctiveness becomes rare. Even suspicious.

Communications Creative work Strategy
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04

What are our data really worth when AI consumes them?

Your histories, emotions, voices, faces and conversations all feed systems you do not control. The contract is implicit. And nobody reads the privacy policy.

Data Privacy GDPR
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05

Tomorrow, will you be more capable or less?

The same tool can make you a better pilot or a worse driver. AI’s promise is real. The question is whether you will come out of the experience with one more skill or one less.

Training Creative professions Skills
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