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Download the 10th IP Report, Our Data After Us

From death to digital immortality, an exploration of the uses and challenges of post-mortem data

 

 

Par LINC Par 15 October 2025
Cahier IP10 - nos données après nous
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[Article 2/3] Preventing web data extraction using declarative methods

02 June 2026

[Article 2/3] Preventing web data extraction using declarative methods

There are several ways to prevent web data extraction, which can be combined and operate…

[File] How to prevent data extraction bots from collecting publicly available data

02 June 2026

[File] How to prevent data extraction bots from collecting publicly available data

The development of general-purpose AI models requires the creation of massive datasets, often built…

[Article 3/3] Prevent web data extraction by blocking access to the website

02 June 2026

[Article 3/3] Prevent web data extraction by blocking access to the website

The previous article examined how to prevent web data extraction through statements in the terms of…

[Article 1/3] Crawling, scraping and TDM explained

02 June 2026

[Article 1/3] Crawling, scraping and TDM explained

Before examining the means available to website publishers to block the collection of their data,…

Fingerprinting

02 June 2026

Fingerprinting

The term “fingerprinting” refers to a technique used to characterise a client sending a request to…

[Article 1/2] From language models to world models

25 March 2026

[Article 1/2] From language models to world models

Building on language models, researchers and entrepreneurs have begun designing and developing …

[Article 2/2] Data-hungry World Models: not without risks

25 March 2026

[Article 2/2] Data-hungry World Models: not without risks

Data-hungry world models are not without risk. According to the designers of world models,…

Are there humans in world models?

25 March 2026

Are there humans in world models?

As an extension of language models, researchers and entrepreneurs are developing “world models”…

Explainable AI techniques [2/3]

08 July 2025

Explainable AI techniques [2/3]

In response to the opacity of deep learning, this article presents the main methods in the field of…

Why take an interest in the sociology of xAI science? [3/3]

08 July 2025

Why take an interest in the sociology of xAI science? [3/3]

This article seeks to understand why the field of explainable AI (xAI), despite its importance and…

Explaining AI systems, a problem renewed by the success of deep learning algorithms [1/3]

08 July 2025

Explaining AI systems, a problem renewed by the success of deep learning algorithms [1/3]

As artificial intelligence systems become increasingly prevalent, the need to explain their…

The explainability of AI in the era of deep learning

08 July 2025

The explainability of AI in the era of deep learning

Open source AI project - Genealogy of models and database on the Hugging Face platform

30 June 2025

Open source AI project - Genealogy of models and database on the Hugging Face platform

The artificial intelligence ecosystem is strongly structured around open source resources :…

Foray into the security toolbox of large language models (1/2): targeted risks and security by design

22 October 2024

Foray into the security toolbox of large language models (1/2): targeted risks and security by design

At a time when conversational agents are multiplying, the security of personal data processed via…

Foray into the security toolbox of large language models (2/2): security on the fly

22 October 2024

Foray into the security toolbox of large language models (2/2): security on the fly

We are continuing the foray into the LLM security tool box with an overview of techniques aimed at…

[2/3] Believing or doubting: the issue of confidence bias in decision-making

17 October 2024

[2/3] Believing or doubting: the issue of confidence bias in decision-making

As decision-support systems become increasingly widespread, their use in critical decision-making…

[3/3] Predicting without explaining, or when algorithmic opacity muddies the waters

16 October 2024

[3/3] Predicting without explaining, or when algorithmic opacity muddies the waters

As decision-support systems become more widespread, their use in critical decision-making contexts…

[1/3] Human supervision, hybrid decisions: what are the challenges ?

16 October 2024

[1/3] Human supervision, hybrid decisions: what are the challenges ?

As decision-support systems become more widespread, their use in critical decision-making contexts…

A new project on explainable artificial intelligence

31 July 2024

A new project on explainable artificial intelligence

Artificial intelligence systems, and algorithms in general, are sometimes opaque, and their results…

CNIL public consultation on how-to sheets on the development of AI systems

03 July 2024

CNIL public consultation on how-to sheets on the development of AI systems

Following the discussions we had with researchers during and after the Privacy Research Day, we…

Digital watermark: a salutary transparency measure? [2/2]

27 October 2023

Digital watermark: a salutary transparency measure? [2/2]

A well-known technique in copyright protection, digital watermarking has been put forward as a…

Overview and out perspective for artificial content detection solutions [1/2]

27 October 2023

Overview and out perspective for artificial content detection solutions [1/2]

Recent excitement surrounding generative artificial intelligence systems has been accompanied by…

Understand machine unlearning: anatomy of a goldfish

26 May 2023

Understand machine unlearning: anatomy of a goldfish

While the risks posed by AI models on training data are still being studied, and it seems difficult…

Caitch me if you can

26 April 2023

Caitch me if you can

From writing instructions on how to make a homemade bomb to refusing to provide a list of « …

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