introduction

3 files changed, 228 insertions, 46 deletions

diff --git a/biblio.bib b/biblio.bib
new file mode 100644
index 0000000..d3e266c
--- /dev/null
+++ b/biblio.bib
@@ -0,0 +1,169 @@
+@inproceedings{barthelemy:hal-01837361,
+  TITLE = {{Pl@ntNet, une plate-forme innovante d'agr{\'e}gation et partage d'observations botaniques}},
+  AUTHOR = {Barth{\'e}l{\'e}my, Daniel and Boujemaa, Nozha and Molino, Jean-Fran{\c c}ois and Joly, Alexis and Go{\"e}au, Herv{\'e} and Baki{\'c}, Vera and Selmi, Souheil and Champ, Julien and Carre, Jennifer and Chouet, Mathias and Perronnet, Aur{\'e}lien and Vignau, Christelle and Dufour-Kowalski, Samuel and Affouard, Antoine and Barbe, Julien and Bonnet, Pierre},
+  URL = {https://hal.science/hal-01837361},
+  BOOKTITLE = {{International Conference ‘Botanists of the Twenty-first Century'}},
+  ADDRESS = {Paris, France},
+  ORGANIZATION = {{UNESCO}},
+  HAL_LOCAL_REFERENCE = {DEVMP},
+  EDITOR = {No{\"e}line R. Rakotoarisoa and Stephen Blackmore and Bernard Riera},
+  PAGES = {191-197},
+  YEAR = {2014},
+  MONTH = Sep,
+  KEYWORDS = {Pl@ntNet ; Botany ; Plateforme participative ; Observations botaniques},
+  PDF = {https://hal.science/hal-01837361/file/DB_etal_plantnet_plateforme_2016_1.pdf},
+  HAL_ID = {hal-01837361},
+  HAL_VERSION = {v1},
+}
+
+@misc{plantnet,
+    title={Pl@ntNet},
+    howpublished={\url{https://identify.plantnet.org/}},
+    note={Dernier accès: 2024-07-24}
+}
+
+
+@article{dunn2018wearables,
+  title={Wearables and the medical revolution},
+  author={Dunn, Jessilyn and Runge, Ryan and Snyder, Michael},
+  journal={Personalized medicine},
+  volume={15},
+  number={5},
+  pages={429--448},
+  year={2018},
+  publisher={Taylor \& Francis}
+}
+
+@misc{gtrend,
+    title={Google trend Intelligence Artificielle},
+    howpublished={\url{https://trends.google.com/trends/explore?date=all&geo=FR&q=intelligence%20artificielle&hl=en-US}},
+    note={Dernier accès: 2024-07-24}
+}
+
+@misc{france2030,
+    title={France 2030},
+    howpublished={\url{https://www.info.gouv.fr/grand-dossier/france-2030}},
+    note={Dernier accès: 2024-07-24}
+}
+
+@misc{stratfr,
+    title={La stratégie nationale pour l'intelligence artificielle},
+    howpublished={\url{https://www.entreprises.gouv.fr/fr/numerique/enjeux/la-strategie-nationale-pour-l-ia}},
+    note={Dernier accès: 2024-07-24}
+}
+
+@misc{applewatch,
+    title={WatchOS 11 brings powerful health and fitness insights, and even more personalization and connectivity },
+    howpublished={\url{https://www.apple.com/newsroom/2024/06/watchos-11-brings-powerful-health-and-fitness-insights/}},
+    note={Dernier accès: 2024-07-24}
+}
+
+%%%%%%%%%%%CLIMATE CHANGE BACKGROUND
+@article{barnes2019viewing,
+  title={Viewing forced climate patterns through an AI lens},
+  author={Barnes, Elizabeth A and Hurrell, James W and Ebert-Uphoff, Imme and Anderson, Chuck and Anderson, David},
+  journal={Geophysical Research Letters},
+  volume={46},
+  number={22},
+  pages={13389--13398},
+  year={2019},
+  publisher={Wiley Online Library}
+}
+
+@article{slater2023hybrid,
+  title={Hybrid forecasting: blending climate predictions with AI models},
+  author={Slater, Louise J and Arnal, Louise and Boucher, Marie-Am{\'e}lie and Chang, Annie Y-Y and Moulds, Simon and Murphy, Conor and Nearing, Grey and Shalev, Guy and Shen, Chaopeng and Speight, Linda and others},
+  journal={Hydrology and earth system sciences},
+  volume={27},
+  number={9},
+  pages={1865--1889},
+  year={2023},
+  publisher={Copernicus Publications G{\"o}ttingen, Germany}
+}
+
+%%%%%%%%%%%%ENERGY BACKGROUND
+@article{jin2020energy,
+  title={Energy and AI},
+  author={Jin, Donghan and Ocone, Raffaella and Jiao, Kui and Xuan, Jin},
+  journal={Energy and AI},
+  volume={1},
+  pages={100002},
+  year={2020},
+  publisher={Elsevier}
+}
+
+@article{kumar2020distributed,
+  title={Distributed energy resources and the application of AI, IoT, and blockchain in smart grids},
+  author={Kumar, Nallapaneni Manoj and Chand, Aneesh A and Malvoni, Maria and Prasad, Kushal A and Mamun, Kabir A and Islam, FR and Chopra, Shauhrat S},
+  journal={Energies},
+  volume={13},
+  number={21},
+  pages={5739},
+  year={2020},
+  publisher={MDPI}
+}
+
+@article{kumari2020blockchain,
+  title={Blockchain and AI amalgamation for energy cloud management: Challenges, solutions, and future directions},
+  author={Kumari, Aparna and Gupta, Rajesh and Tanwar, Sudeep and Kumar, Neeraj},
+  journal={Journal of Parallel and Distributed Computing},
+  volume={143},
+  pages={148--166},
+  year={2020},
+  publisher={Elsevier}
+}
+
+@article{ngarambe2020use,
+  title={The use of artificial intelligence (AI) methods in the prediction of thermal comfort in buildings: Energy implications of AI-based thermal comfort controls},
+  author={Ngarambe, Jack and Yun, Geun Young and Santamouris, Mat},
+  journal={Energy and Buildings},
+  volume={211},
+  pages={109807},
+  year={2020},
+  publisher={Elsevier}
+}
+
+
+%%%%%OPEN AI 
+
+@misc{openaibfm,
+    title={OpenAI, cette société qui révolutionne l'intelligence artificielle},
+    howpublished={\url{https://www.bfmtv.com/tech/intelligence-artificielle/open-ai-cette-societe-qui-revolutionne-l-intelligence-artificielle_DN-202311200564.html}},
+    note={Dernier accès: 2024-07-24}
+}
+
+@misc{openaiinter,
+    title={Intelligence artificielle : pourquoi Sam Altman, créateur de ChatGPT, a été débarqué d'OpenAI},
+    howpublished={\url{https://www.radiofrance.fr/franceinter/ce-que-l-on-sait-du-renvoi-de-sam-altman-patron-d-openai-et-createur-de-chatgpt-5672369}},
+    note={Dernier accès: 2024-07-24}
+}
+
+@misc{openaint,
+    title={OpenAI Says It Has Begun Training a New Flagship A.I. Model},
+    howpublished={\url{https://www.nytimes.com/2024/05/28/technology/openai-gpt4-new-model.html}},
+    note={Dernier accès: 2024-07-24}
+}
+
+@misc{openaibg,
+    title={ChatGPT sets record for fastest-growing user base - analyst note},
+    howpublished={\url{https://www.reuters.com/technology/chatgpt-sets-record-fastest-growing-user-base-analyst-note-2023-02-01/}},
+    note={Dernier accès: 2024-07-24}
+}
+
+@misc{gptjournal,
+    title={ChatGPT : le quotidien Le Monde signe un partenariat avec OpenAI, une première en France},
+    howpublished={\url{https://www.radiofrance.fr/franceinter/podcasts/l-info-de-france-inter/les-doc-france-inter-du-jeudi-14-mars-3-7619379}},
+    note={Dernier accès: 2024-07-24}
+}
+
+@article{beraja2023ai,
+  title={AI-tocracy},
+  author={Beraja, Martin and Kao, Andrew and Yang, David Y and Yuchtman, Noam},
+  journal={The Quarterly Journal of Economics},
+  volume={138},
+  number={3},
+  pages={1349--1402},
+  year={2023},
+  publisher={Oxford University Press}
+}
+
diff --git a/main.pdf b/main.pdf
index c1cef3e..6cb0fd6 100644
--- a/main.pdf
+++ b/main.pdf
diff --git a/main.tex b/main.tex
index 1cefcab..2e80a9c 100644
--- a/main.tex
+++ b/main.tex
@@ -6,13 +6,24 @@
 \usepackage{amsmath}
 \usepackage{amsthm}
 \usepackage{amsfonts}
+\usepackage{csquotes}
 \usepackage{algpseudocode}
 \usepackage{algorithm}
 \usepackage{subcaption}
 \usepackage{setspace}
+\usepackage{tikz}
+\usepackage{cite}
+\usepackage{hyperref}
 
+\usetikzlibrary {shapes.geometric}
+\usetikzlibrary {shapes.symbols}
+
+%\input{aia/00macros}
 \input{theorem}
 
+\input{tikz_assets/data}
+\input{tikz_assets/param}
+
 \begin{document}
 \begin{titlepage}
     \begin{center}
@@ -37,78 +48,80 @@
 \end{titlepage}
 
 \tableofcontents
-\chapter{Contexte}
+\chapter*{Avertissement}
+\input{contexte/avertissement}
+\chapter{Introduction}
     \section{Prédominances de l'apprentissage automatique}
+    \input{contexte/ml}
     \section{Bases legales}
     \input{contexte/legal}
 
-\chapter{Ensembles et fonctions}
+\chapter{Background}
+\section{Ensembles et fonctions}
 
-\chapter{Algèbre linéaire}
-    \section{Espace vectoriel}
-    \section{Application linéaires}
-    \section{Matrices}
+\section{Algèbre linéaire}
+    \subsection{Espace vectoriel}
+    \subsection{Application linéaires}
+    \subsection{Matrices}
 
-\chapter{Mesurer le hasard pour prédire et inférer}
-    \section{Théorie de la mesure}
-    \section{Probabilitées}
-    \section{Statistiques}
+\section{Mesurer le hasard pour prédire et inférer}
+    \subsection{Théorie de la mesure}
+    \subsection{Probabilitées}
+    \subsection{Statistiques}
 
-\chapter{Topologie}
-    \section{Distances et normes}
-    \section{Espaces topologiques}
-    \section{Application aux fonctions}
+\section{Topologie}
+    \subsection{Distances et normes}
+    \subsection{Espaces topologiques}
+    \subsection{Application aux fonctions}
 
-\chapter{Calcul différentiel}
-    \section{Différentiel}
-    \section{Gradient}
+\section{Calcul différentiel}
+    \subsection{Différentiel}
+    \subsection{Gradient}
 
-\chapter{Optimisation}
-    \section{Multiplicateurs de Lagrange}
+\section{Optimisation}
+    \subsection{Multiplicateurs de Lagrange}
 
-    \section{Descente de gradient}
-        \subsection{Descente de gradient stochastique}
+    \subsection{Descente de gradient}
+        \subsubsection{Descente de gradient stochastique}
 
-        \subsection{Descente de gradient exponentiée}
+        \subsubsection{Descente de gradient exponentiée}
 
-\chapter{Apprentissage automatique}
-    \section{Principe}
-    \section{Entraîner un modèle}
-        \subsection{Fonction de coût}
-    \section{Evaluer un modèle}
-        \subsection{Classification}
-            \subsubsection{La courbe ROC}
-            \subsubsection{La courbe de precision/recall} 
-        \subsection{Regression}
-    \section{Décentralisation}
-        \subsection{Federated learning}
+\section{Apprentissage automatique}
+    \subsection{Principe}
+    \subsection{Entraîner un modèle}
+        \subsubsection{Fonction de coût}
+    \subsection{Evaluer un modèle}
+        \subsubsection{Classification}
+            \paragraph{La courbe ROC}
+            \paragraph{La courbe de precision/recall} 
+        \subsubsection{Regression}
+    \subsection{Décentralisation}
+        \subsubsection{Federated learning}
 
-\chapter{Equitée}
-    \section{Différentes notions d'équitée}
+\section{Equitée}
+    \subsection{Différentes notions d'équitée}
 
-    \section{Mitiger l'inéquitée}
-        \subsection{Preprocessing}
-        \subsection{Inprocessing}
-        \subsection{Postprocessing}
+    \subsection{Mitiger l'inéquitée}
+        \subsubsection{Preprocessing}
+        \subsubsection{Inprocessing}
+        \subsubsection{Postprocessing}
 
 \chapter{Classification finie}
     \input{classification_finie/finit_classif}
 
 
 \chapter{Attaque d'inférence d'attribut sensible}
-    \section{Le sur-apprentissage}
-    \section{Labels prédits}
-        \subsection{Liens entre inférence d'attribut sensible et équitée}
+\input{aia/main}
 
     \section{Regression}
         \subsection{Equitée et regression}
             \subsubsection{Une bien-heureuse conséquence de l'\textit{adversarial debiasing}}
 
 
-\chapter{Attaque d'appartenance}
-    \section{La sur-regression}
-    \section{Confidentialitée différentielle}
-    \section{Comment l'inprocessing peut faciliter la sur-regression}
+\chapter{Données synthétiques}
+\input{synthetic/main}
 
+\bibliographystyle{plain}
+\bibliography{biblio}
 
 \end{document}