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With the aim of sharing the latest developments in Orange’s research, the Research Blog lets our researchers have their say. They tell us about their work as well as sharing their visions and convictions regarding the technological disruptions and changes in society that are unfolding. It’s a place to interact with people who are passionate about the future of our digital and human world.

How to make AI explainable?

• Have you ever wondered how AI reaches its decisions? The challenge is crucial: to enable humans to understand the results of an Artificial Intelligence system.
• Explainable AI techniques combine methods and processes designed to show the operating logic of an algorithm and provide clear explanations to users of how AI makes decisions.
• There are already myriad techniques depending on context, target audience and the impact of the algorithm. And that’s without factoring in the development of generative AI systems, which raises new challenges in terms of explainability techniques.
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Explainability of artificial intelligence systems: what are the requirements and limits?

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Far far edge: The opportunities and challenges

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Orange OpenTech 2024: AI is here

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Collective self-consumption of energy: Building renewable, local, and shared energy

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Institutional funding and interpersonal solidarity in Senegal

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Mobile money: an alternative to a bank account for small businesses in Senegal?

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