From af58c754e3eb9fadb096629879e159c696fda9d0 Mon Sep 17 00:00:00 2001 From: David Da SILVA Date: Wed, 22 Nov 2023 16:06:44 +0100 Subject: [PATCH] New activity about Geolocalisation First draft of the activity script. --- src/ens/enjx1/activ/donnees_reputation.md | 48 ++-- src/ens/enjx1/activ/geolocalisation.md | 238 ++++++++++++++++++ src/ens/enjx1/activ/index.md | 1 + src/ens/enjx1/activ/media/ChauffeursUber.pdf | Bin 0 -> 1460559 bytes .../enjx1/activ/media/DigipowerAcademy1.png | Bin 0 -> 202139 bytes .../enjx1/activ/media/DigipowerAcademy2.png | Bin 0 -> 989679 bytes .../enjx1/activ/media/DigipowerAcademy3.png | Bin 0 -> 1167227 bytes src/ens/enjx1/activ/media/GoogleTakeout1.png | Bin 0 -> 187411 bytes src/ens/enjx1/activ/media/GoogleTakeout2.png | Bin 0 -> 215712 bytes src/ens/enjx1/activ/media/GoogleTakeout3.png | Bin 0 -> 56273 bytes src/ens/enjx1/activ/media/GoogleTakeout4.png | Bin 0 -> 110040 bytes src/ens/enjx1/activ/media/GoogleTakeout5.png | Bin 0 -> 194322 bytes 12 files changed, 263 insertions(+), 24 deletions(-) create mode 100644 src/ens/enjx1/activ/geolocalisation.md create mode 100644 src/ens/enjx1/activ/media/ChauffeursUber.pdf create mode 100644 src/ens/enjx1/activ/media/DigipowerAcademy1.png create mode 100644 src/ens/enjx1/activ/media/DigipowerAcademy2.png create mode 100644 src/ens/enjx1/activ/media/DigipowerAcademy3.png create mode 100644 src/ens/enjx1/activ/media/GoogleTakeout1.png create mode 100644 src/ens/enjx1/activ/media/GoogleTakeout2.png create mode 100644 src/ens/enjx1/activ/media/GoogleTakeout3.png create mode 100644 src/ens/enjx1/activ/media/GoogleTakeout4.png create mode 100644 src/ens/enjx1/activ/media/GoogleTakeout5.png diff --git a/src/ens/enjx1/activ/donnees_reputation.md b/src/ens/enjx1/activ/donnees_reputation.md index 6c6b19e2..729a0fed 100644 --- a/src/ens/enjx1/activ/donnees_reputation.md +++ b/src/ens/enjx1/activ/donnees_reputation.md @@ -2,9 +2,9 @@ ---- -Cette activité fait partie d'une série de ressources ayant pour objectif général d'identifier et discuter des enjeux socio-techniques et politiques liés à la protection de la vie privée et des données personnelles. +Cette activité fait partie d'une série de ressources ayant pour objectif général d'identifier et de discuter des enjeux socio-techniques, politiques et économiques liés à la protection de la vie privée et des données personnelles. -En particulier, le sujet de cette activité est le lien entre les données et les enjeux de réputation. +En particulier, le sujet de cette activité est le lien entre les données personnelles et les enjeux de réputation. ---- @@ -16,7 +16,7 @@ En particulier, le sujet de cette activité est le lien entre les données et le * Objectifs pédagogique : Comprendre ce qu’est une donnée. Mettre en relation les données et leur écosystème. * Modalité : Débranché * Matériel : Article du journal [The Pillar](https://www.pillarcatholic.com/p/pillar-investigates-usccb-gen-sec) -* Prérequis: Lecture de l'article *Pillar Investigates Burrill* (facultatif) +* Prérequis : Lecture de l'article *Pillar Investigates Burrill* (facultatif) * Notions fondamentales : données, collecte de données, base de données, recoupement de données * Taille du groupe : classe entière @@ -31,11 +31,11 @@ L'article en version PDF est disponible à télécharger pour distribution aux | Etape | Durée | Phase de l'activité | |---------------------------------------|------- |-----------------------| -|{ref}`Introduction ` | 5-10 min | Mise en situation| -| {ref}`Qu'est-ce qu'une donnée et comment sont-elles collectées ? ` | 15-20 min | Exploration | -| {ref}`Étude d'un cas pratique` | 5 min | Application | -| {ref}`Organisation d'un jeu de rôle ` | 10-20 min | Objectivation / Discussion | -| {ref}`Conclusion` | 5 min| Institutionalisation| +|{ref}`Introduction ` | 5-10 min | Préparation | +| {ref}`Qu'est-ce qu'une donnée, où et comment sont-elles collectées ? ` | 15-20 min | Théorie | +| {ref}`Étude d'un cas pratique` | 5 min | Présentation | +| {ref}`Organisation d'un jeu de rôle ` | 10-20 min | Mise en situation / Discussion | +| {ref}`Conclusion` | 5 min| Institutionalisation | (reputation.situation)= @@ -43,7 +43,7 @@ L'article en version PDF est disponible à télécharger pour distribution aux *Durée : 5-10 min* -L'enseignant introduit la thématique en questionnant les élèves sur leurs usages des réseaux sociaux (*Instagram, TikTok, Facebook,etc.*) et quelles données personnelles selon eux sont récoltées. +L'enseignant·e introduit la thématique en questionnant les élèves sur leurs usages des réseaux sociaux (*Instagram, TikTok, Facebook,etc.*) et les données personnelles récoltées selon leur expérience. Cette introduction sert à jeter les bases de ce que peut être une donnée personnelle. (reputation.exploration)= @@ -51,7 +51,7 @@ Cette introduction sert à jeter les bases de ce que peut être une donnée pers *Durée : 15-20 min* -Dans cette partie, l'enseignant va présenter les différentes notions nécessaires à comprendre les bases de l'économie des données et les enjeux sous-jacents. +Dans cette partie, l'enseignant·e va présenter les différentes notions nécessaires à comprendre les bases de l'économie des données et les enjeux sous-jacents. 1. Une donnée c'est quoi ? En questionnant les élèves on définit une donnée comme toute trace ou information issue d'une extraction avec référence au dispositif dont elle est issue.(Marres, N. 2017. Digital sociology: The reinvention of social research. John Wiley & Sons.) @@ -60,16 +60,16 @@ Cela peut être un nom, un âge, une date, une localisation, etc., un lien peut 2. Comment sont-elles collectées ? Toujours en interaction avec les élèves, un inventaire des moyens de collecte est fait. Les élèves pensent assez vite aux téléphones, aux ordinateurs, aux objets connectés (Internet of Things). -Ils pensent moins aux caméras de surveillances (ville, péages, etc.) ou aux autres institutions qui collectent des données depuis longtemps comme les banques (paiements CB) ou les commerces avec les cartes de fidélités (*la carte cumulus, c'est comme des likes en mode supermarché !*). -Il peut être intéressant d'insister sur l'ampleur de cette collecte en parlant des **trackers** (et SDK). Pour l'illustrer, l'utilisation d'*[Exodus Privacy](https://exodus-privacy.eu.org/fr/)* sur une application comme *[Instagram](https://reports.exodus-privacy.eu.org/en/reports/com.instagram.android/latest/)* fait apparaitre le nombre et type d'autorisations demandées par l'application *(le fonctionnement de l'application a-t-il vraiment besoin de tout ça ? est-ce justifié / justifiable ?)*. L'application des CFF (très largement diffusée), qui se veut un exemple en termes de transparence, a une section très détaillée sur la collecte et le traitement des données à caractère personnel. Les élèves peuvent aller voir les longues listes des *Fournisseurs* et *SDK* en allant dans *Profil > Paramètres relatifs à la protection des données*. -L'enseignant se charge de synthétiser tous les éléments mentionnés afin de mener les élèves à la notion de *profil d'individu*. Ces profils qui peuvent par exemple alimenter le marketing en se basant sur nos comportements, ont intrinsèquement de la valeur qui peut encore augmenter en fonction de ce qu'on en fait. +Il est moins évident les caméras de surveillances (ville, péages, etc.) ou d'autres organisations qui collectent des données depuis longtemps comme les banques (paiements CB) ou les commerces avec les cartes de fidélités (*la carte cumulus, c'est comme des likes en mode supermarché !*). +Il peut être intéressant d'insister sur l'ampleur de cette collecte en parlant des **traceurs** (et kits de développement logiciel, Software Development Kit). Pour l'illustrer, l'utilisation d'*[Exodus Privacy](https://exodus-privacy.eu.org/fr/)* sur une application comme *[Instagram](https://reports.exodus-privacy.eu.org/en/reports/com.instagram.android/latest/)* fait apparaitre le nombre et type d'autorisations demandées par l'application *(le fonctionnement de l'application a-t-il vraiment besoin de tout ça ? est-ce justifié / justifiable ?)*. L'application des CFF (très largement diffusée), qui se veut un exemple en termes de transparence, a une section très détaillée sur la collecte et le traitement des données à caractère personnel. Les élèves peuvent aller voir les longues listes des *Fournisseurs* et *SDK* en allant dans *Profil > Paramètres relatifs à la protection des données*. +L'enseignant·e se charge de synthétiser tous les éléments mentionnés afin de mener les élèves à la notion de *profilage* ou *profil d'individu*. Ces profils qui peuvent par exemple alimenter le marketing en se basant sur nos comportements, ont intrinsèquement de la valeur qui peut encore augmenter en fonction de ce qu'on en fait. 3. Où vont ces données ? -Ces données peuvent rester dans l'institution qui les a collectées (banque, gouvernement, commerces), mais pas toujours. -Parfois elles sont vendues (légalement ou pas), exemple de [Migros et Coop](https://www.blick.ch/fr/news/suisse/une-veritable-mine-dor-migros-et-coop-revendent-les-donnees-de-leurs-clients-en-toute-legalite-id18997319.html?utm_medium=social&utm_campaign=share-button&utm_source=copy-to-clipboard), à des *annonceurs* ou à des *data brokers* qui les revendront à leur tour, et parfois elles sont aussi volées, [Facebook et autres](https://www.lemonde.fr/pixels/article/2021/04/05/cinq-questions-sur-la-fuite-de-donnees-concernant-plus-de-533-millions-de-comptes-facebook_6075616_4408996.html). +Ces données peuvent rester dans l'organisation qui les a collectées (banque, gouvernement, commerces), mais pas toujours. +Parfois elles sont vendues (légalement ou pas), exemple de [Migros et Coop](https://www.blick.ch/fr/news/suisse/une-veritable-mine-dor-migros-et-coop-revendent-les-donnees-de-leurs-clients-en-toute-legalite-id18997319.html?utm_medium=social&utm_campaign=share-button&utm_source=copy-to-clipboard), à des *annonceurs* ou à des *boursiers des données, *data brokers* qui les revendront à leur tour, et parfois elles sont aussi volées, [Facebook et autres](https://www.lemonde.fr/pixels/article/2021/04/05/cinq-questions-sur-la-fuite-de-donnees-concernant-plus-de-533-millions-de-comptes-facebook_6075616_4408996.html). Dans tous les cas, ces données collectées à un endroit, stockées ailleurs, vendues, revendues, volées, achetées, circulent et génèrent de l'argent, c'est l'économie des données. Il n'est utile de rentrer le détail de son fonctionnement, mais sa complexité et la diversité des acteurs peut être illustrée avec cette {download}`infographie `. -Rassemblées, mises en communs et organisées en base de données, toutes ces données permettent d'extraire une grande quantité d'informations qui génère de la connaissance, donc du pouvoir et par conséquent des risques aussi bien au niveau collectif (manipulation de masse, cf. [Cambridge Analytica](https://fr.wikipedia.org/wiki/Scandale_Facebook-Cambridge_Analytica)), qu'individuel ({ref}`cas pratique`). +Agrégées ou rassemblées, mises en commun et organisées en base de données, toutes ces données permettent d'extraire une grande quantité d'informations qui génère de la connaissance, donc du pouvoir et par conséquent des risques aussi bien au niveau collectif (manipulation de masse, cf. [Cambridge Analytica](https://fr.wikipedia.org/wiki/Scandale_Facebook-Cambridge_Analytica)), qu'individuel ({ref}`cas pratique`). (reputation.cas_pratique)= @@ -91,37 +91,37 @@ Grâce au croisement des données, les journalistes ont montré que J. Burrill, *Durée : 10-20 min* -Afin de sensibiliser les élèves à la complexité du sujet de la collecte et de l'utilisation des données personnelles, l'enseignant organise un jeu de rôle / débat ou les élèves sont répartis en 4 groupes ayant chacun un rôle distinct : +Afin de sensibiliser les élèves à la complexité du sujet de la collecte et de l'utilisation des données personnelles, l'enseignant·e organise un jeu de rôle / débat ou les élèves sont réparti.e.s en 4 groupes ayant chaque groupe un rôle distinct : - Groupe A : Une commission de journalistes défendant le droit à informer, protégeant les journalistes, ainsi que les méthodes utilisées par le journal - Groupe B : L’entreprise / application transmettant des données personnelles - Groupe C : L’autorité de protection des données où une plainte a été déposée - Groupe D :La fédération romande des consommateurs (FRC) défendant la personne utilisant l’application -Les élèves devront construire leurs arguments selon leur rôle autours du cas The Pillar. En particulier ils devront répondre aux deux questions suivantes : +Les élèves devront construire leurs arguments selon leur rôle autour du cas The Pillar. En particulier, il est nécessaire de répondre aux deux questions suivantes : 1. Êtes-vous pour ou contre la collecte de la géolocalisation ? 2. Quelles mesures demandez-vous à mettre en place pour ou contre la collecte de la géolocalisation ? -L’enseignant passe dans les groupes pour rappeler les rôles, guider les réflexions et rappeler le temps accordé pour répondre aux deux questions (~ 5 min). -A la fin du temps imparti, l'enseignant se positionne au milieu des groupes et : +L’enseignant·e passe dans les groupes pour rappeler les rôles, les aider à prendre position, guider les réflexions et rappeler le temps accordé pour répondre aux deux questions (~ 5 min). +A la fin du temps imparti, l'enseignant·e se positionne au milieu des groupes et : - demande à chaque groupe de rappeler son rôle et de donner ses réponses aux questions - confronte les groupes en fonction des sujets amenés - fera de la modération ou stimulera les réactions en fonction des besoins -L'objectif étant que les élèves réalisent que le sujet est délicat et qu'en fonction des rôles et positions, il est difficile de trouver une solution satisfaisante. +L'objectif étant que les élèves réalisent que le sujet est délicat et qu'en fonction des rôles et des positions, il est difficile de trouver une solution satisfaisante mais qu'il est crucial de coopérer. (reputation.conclusion)= ### Conclusion *Durée : 5 min* -L'enseignant pourra conclure la séquence en notant que : -- les enjeux de réputations sont au coeur de l'économie des données +L'enseignant·e pourra conclure la séquence en notant que : +- les enjeux de réputation sont au coeur de l'économie des données - les conséquences sont au niveau individuel et collectif : diffamation, vol d'identité, discrimination, harcèlement, surveillance, etc... - les conséquences sont également au niveau des marques et des plateformes, [principalement financières](https://noyb.eu/fr/eu-58-million-fine-grindr-confirmed) -L'enseignant pourra également faire un rappel au droit avec le Règlement Général sur la Protection des Données ([RGPD](https://eur-lex.europa.eu/legal-content/FR/TXT/HTML/?uri=CELEX:32016R0679)) en Europe et la nouvelle Loi sur la Protection des Données ([nLPD](https://www.kmu.admin.ch/kmu/fr/home/faits-et-tendances/digitalisation/protection-des-donnees/nouvelle-loi-sur-la-protection-des-donnees-nlpd.html)) entrée en vigueur le 1er septembre 2023. +L'enseignant·e pourra également faire un rappel au droit avec le Règlement Général sur la Protection des Données ([RGPD](https://eur-lex.europa.eu/legal-content/FR/TXT/HTML/?uri=CELEX:32016R0679)) en Europe et la nouvelle Loi sur la Protection des Données ([nLPD](https://www.kmu.admin.ch/kmu/fr/home/faits-et-tendances/digitalisation/protection-des-donnees/nouvelle-loi-sur-la-protection-des-donnees-nlpd.html)) entrée en vigueur le 1er septembre 2023. Il pourra par exemple mentionner : - droit d'accès diff --git a/src/ens/enjx1/activ/geolocalisation.md b/src/ens/enjx1/activ/geolocalisation.md new file mode 100644 index 00000000..4e078092 --- /dev/null +++ b/src/ens/enjx1/activ/geolocalisation.md @@ -0,0 +1,238 @@ +# La géolocalisation, agrégation, connaissance et pouvoir + + +---- + +Cette activité fait partie d'une série de ressources ayant pour objectif général d'identifier et de discuter des enjeux socio-techniques, politiques et économiques liés à la protection de la vie privée et des données personnelles. + +En particulier, le sujet de cette activité est la géolocalisation et ses effets dans l'agrégation des données qui génère de la connaissance et donc du pouvoir. + +---- + +```{admonition} La géolocalisation +:class: hint +* Thème : Vie privée et données personnelles +* Niveau : `moyen` +* Durée : 2 périodes - Travaux pratiques +* Objectifs pédagogique : Comprendre la précision de la géolocalisation à partir de ses données. +Analyser le pouvoir de la géolocalisation et de son impact sur la qualité de vie privée et professionnelle. +* Modalité : Branchée - Utilisation de l'ordinateur pour analyser des données récoltées +* Matériel : Utilisation de la plateforme [Digipower Academy](https://digipower.academy/experience/google) +* Prérequis : Activation de la géolocalsation et collecte des données selon le protocole défini ci-dessous +* Notions fondamentales : géolocalisation, agrégation, travail numérique, management algorithmique +* Taille du groupe : demi-classe + +``` + +## Déroulement + +| Etape | Durée | Phase de l'activité | +|---------------------------------------|------- |-----------------------| +| {ref}`Préparation ` | N.A. | Préparation | +| {ref}`Récupération des données ` | N.A. | Préparation | +| {ref}`Introduction ` | 5-10 min | Préparation | +| {ref}`Analyse et exploration des données de géolocalisation ` | 30-35 min | Analyse | +| {ref}`Étude d'un cas pratique` | 20-25 min | Présentation / Analyse| +| {ref}`Conclusion` | 10-15 min| Institutionnalisation | + + +(geolocalisation.preparation)= +### Préparation + +*min 1 semaine avant la séquence* + +Afin de rendre cette séquence la plus interactive et personnalisée possible, l'enseignant·e invitera les élèves à activer la géolocalisation Google en suivant ce [protocole](https://github.com/hestiaAI/data-catalog/blob/main/workshop/enable-google-location-tracking.md) au moins 1 semaine avant la séquence. +Il est important de vérifier que l'activation a bien fonctionné. Pour cela, les élèves pourront ouvrir https://timeline.google.com/ quelques minutes après l’avoir effectuée afin de vérifier que des données s’affichent. + +Un certain nombre d'entre eux ne pourront pas ou ne voudront pas le faire (contrôle parental, pas de compte Google, idéologie, etc.), il n'est pas utile de chercher à avoir le 100% de participation, si uniquement quelques élèves le font, cela permettra déjà d'alimenter la discussion. + +Les objectifs de cette séquence sont les suivants : +1. Définir la géolocalisation à partir de ses données +2. Analyser le pouvoir de la géolocalisation permettant d’acquérir des connaissances de manière agrégée sur une population +3. Prendre connaissance de l’impact de la géolocalisation au-delà de la vie privée, dans la vie professionnelle et sa qualité de vie +4. Saisir la valeur de ses données personnelles lorsqu’elles sont sous le contrôle de l’individu et de la société, et non d’une app +5. Comprendre le contrôle de ses données à l’échelle sociale comme un enjeu de pouvoir +6. Acquisition des concepts clés : géolocalisation, agrégation, travail numérique, management algorithmique + + +(geolocalisation.recuperation)= +### Récupération des données + +*1-2 jours avant la séquence* + +Le protocole de récupération des données suivant devrait être fait en amont de la séquence, car la réception et le téléchargement de ces données peut prendre un peu de temps. +````{figure} media/GoogleTakeout3.png +--- +height: 200px +name: fig-googletakeout1 +align: center +--- +Délai de récupération. +```` + +Pour récupérer les données, il faut se rendre sur [Google Takeout](https://takeout.google.com/takeout/custom/location_history) + +````{figure} media/GoogleTakeout1.png +--- +height: 400px +name: fig-googletakeout1 +align: center +--- +Étape 1. +```` + +A l'étape 1, si plusieurs choix sont possibles, assurez-vous que seul l'*Historique des positions* soit sélectionné. +Passer à l'étape suivante. + +````{figure} media/GoogleTakeout2.png +--- +height: 400px +name: fig-googletakeout2 +align: center +--- +Étape 2. +```` +A l'étape 2, choisir *Exporter une fois* et le format de fichier *ZIP*. +La taille de fichier peut être limitée à *1 Go*, mais laisser la valeur par défaut ne devrait pas avoir d'impact puisqu'elle n'intervient que si la quantité de données est très importante. +Cliquer sur *Créer une exportation* et attendre l'email. + +````{figure} media/GoogleTakeout4.png +--- +height: 400px +name: fig-googletakeout4 +align: center +--- +E-mail de récupération. +```` +L'e-mail annonçant que les données sont disponibles contient un bouton *Télécharger vos fichiers* qui lance le téléchargement et redirige vers la page de gestion de vos exportations et lance le téléchargement du fichier. + +````{figure} media/GoogleTakeout5.png +--- +height: 400px +name: fig-googletakeout4 +align: center +--- +Gestion des exportations. +```` +Le fichier ainsi téléchargé devrait être de la forme *takeout-yyyymmddTXXXXX-001.zip*, il ne faut **pas le décompresser**. + +(geolocalisation.introduction)= +### Introduction + +*Durée : 5-10 min* + +L'enseignant·e introduit la notion de géolocalisation en questionnant les élèves sur ce que ça représente et comment elle est mise en oeuvre selon eux. + +Questions pour animer la discussion : +- Comment voyez-vous la géolocalisation sur votre téléphone ? +- Dans quel format elle est collectée ? + +````{admonition} Proposition de définition +Les données de géolocalisation sont des données provenant de l'appareil d'une personne qui indiquent l'emplacement géographique de cet appareil, y compris les données GPS, les données relatives à la connexion avec l'équipement wifi local ou même bluetooth. +```` + + + +(geolocalisation.exploration)= +### Analyse et exploration des données de géolocalisation + +*Durée : 30-35 min* + +Afin d'analyser les données récupérées au préalable (cf {ref}`Récupération des données `) l'enseignant·e utilisera la plateforme [Digipower Academy](https://digipower.academy/experience/google). + +````{figure} media/DigipowerAcademy1.png +--- +height: 400px +name: fig-digipower1 +align: center +--- +Interface Digipower Academy pour l'analyse des données Google Takeout. +```` +La démonstration des possibilités d'analyse pourra se faire en utilisant les données de l'enseignant·e ou bien utiliser l'exemple disponible par défaut *google-takeout.zip*. Une fois les données choisies, cliquer sur *EXPLORE YOUR DATA*. + +````{admonition} A noter +Aucune des donnée utilisée n'est transmise, toute l'analyse se fait au sein du navigateur. +```` + +Voici quelques éléments que l'enseignant·e peut discuter avec les élèves en se basant sur l'analyse de données de Google maps via digipower : + +**Des prédictions algorithmiques** + +En s'appuyant sur la carte, sur une adresse voir par ex. *Type MAIN*, ce qui indique qu'une personne se rend fréquemment à cet endroit, ainsi les probabilités augmentent que ce lieu soit son domicile principal. + +````{figure} media/DigipowerAcademy2.png +--- +height: 400px +name: fig-digipower2 +align: center +--- +Onglet *PLACES VISITED* +```` + +On peut voir aussi que Google identifie le moyen de transports, à pied, voiture, bus, vélo, et également bateau... +On voit par ex. sur la carte un trajet traversant le lac, cela peut indiquer que l'utilisateur a *indiqué* le moyen de transport avec une recherche sur les horaires ou un site de billetterie en ligne. Il se peut aussi que Google soit capable de prédire le moyen avec l'analyse de la vitesse via le téléphone qui contient un accéléromètre. + +Il y a finalement un niveau de confiance de la prédiction par Google, avec un score ou un niveau (par ex. 89 pour une adresse MAIN ou HIGH pour le transport en bateau). + +````{figure} media/DigipowerAcademy3.png +--- +height: 400px +name: fig-digipower3 +align: center +--- +Onglet *TRAVELS* +```` + +Cela montre le pouvoir d'acquisition des connaissances sur une personne à partir de la géolocalisation + + +**Des considérations et des questionnements ouverts** + + - Quelle est la vue qu'ont les élèves, et les habitant.e.s en général, sur leur ville ? + On peut d'abord mentionner les moyens que Google utilise pour cartographier la ville : satellites, voitures avec caméras, les commerces peuvent payer et indexer leur site sur Google Maps. + On peut ensuite ouvrir la discussion en demandant si les élèves ont déjà identifié des erreurs dans les itinéraires proposés par Google ? + Est-ce que Google connaît toutes les petites rues de leur ville ? + +- Il ne s'agit pas uniquement de la position d'une personne, c'est également l'apprentissage sur tout son entourage. +Google connaît les déplacements des individus et ses interactions avec son environnement. Par exemple, les données de géolocalisation peuvent être utilisées pour des tâches algorithmiques comme l'analyse de la circulation en temps réel, l’estimation des vitesses durant des embouteillages et la proposition de déviations de route, mais aussi une proposition de restaurant proche... + +- Avec la proposition de routes multimodales Google demande aussi maintenant des compléments informations. +Par exemple, après avoir pris un bus, Google demande quelle est la température dans le bus, s'il y a un contrôle de sécurité, une estimation du taux d'occupation dans le bus, etc. +Plus l'humain enrichit la géolocalisation, plus Google peut apprendre sur la société en général. + +- Google croise aussi des informations avec d'autres applications qui utilisent Google Maps (par ex. Uber, Tinder, CFF). +Beaucoup d'autres apps installent Google Maps via des SDK ce qui permet à Google de connaitre les habitudes sur l'espace physique avec des intérêts en ligne. +Par exemple, si on a cherché une recette de lasagne sur Google, qu'on s'est rendu à la Migros plus proche pour acheter des ingrédients, puisqu'on a publié une photo chez nous sur Instagram et on a donné 5 étoiles à la Migros avec un commentaire qui se trouve indexé sur Google Maps avec notre pseudonyme affiché. + +- Finalement quelques questions pour ouvrir la discussion : + - Qu'est-ce qui se passe si Google te suit en permanence, et aussi tes parents et toute ton école ? + - Qui a le plus d'information sur toi, tes parents ou Google ? + - Qui a plus de pouvoir ? + - Qu'est-ce qui se passe si d'autres personnes accèdent à ces infos agrégées ? + +(geolocalisation.cas_pratique)= +### Cas Pratique : *Les chauffeurs UBER* + +*Durée : 20-25 min* + +Dans cette partie, l'enseignant·e retracera l'affaire *des chauffeurs Uber* en Suisse et principalement à Genève et pourra s'appuyer pour cela sur les dias disponibles {download}`ici`. +Pendant l'exposé de cette affaire, l'enseignant·e pourra amener et ouvrir le débat sur les sujets suivants : +- Des chauffeurs *indépendants* et *autonomes* +- Uber, *technologie intermédiaire et neutre* +- La lutte des chauffeurs Uber au niveau mondial : sont-ils des employés ? +- Comment définiriez-vous le temps de travail des chauffeurs Uber ? + +Finalement, la résolution de cette affaire a pu se faire principalement grâce à l'analyse des données de géolocalisation récupérées chez Uber qui a pu faire la preuve de l'existence d'une gestion algorithmique de l'attribution des courses et donc de l'existence d'une relation employeur-employé. + +(geolocalisation.conclusion)= +### Conclusion + +*Durée : 10-15 min* +La conclusion et les objectifs de cette séquence tourne autour de 2 points principaux : + +1. Le contrôle de ses données personnelles a une valeur économique et un pouvoir pour négocier de manière collective sur les décisions politiques qui nous affectent. +2. Récupérer ses données permet de gagner en transparence et de renverser l’asymétrie d’information dominante qu’une plateforme a avec ses utilisateurs. + +--- + +Activité réalisée en collaboration avec [Dr. J. Pidoux](https://doi.org/10.5075/epfl-thesis-8830) \ No newline at end of file diff --git a/src/ens/enjx1/activ/index.md b/src/ens/enjx1/activ/index.md index 158edf04..630c4a22 100644 --- a/src/ens/enjx1/activ/index.md +++ b/src/ens/enjx1/activ/index.md @@ -4,4 +4,5 @@ :maxdepth: 1 Les enchères du web Données et enjeux de réputation +La géolocalisation ``` \ No newline at end of file diff --git a/src/ens/enjx1/activ/media/ChauffeursUber.pdf b/src/ens/enjx1/activ/media/ChauffeursUber.pdf new file mode 100644 index 0000000000000000000000000000000000000000..7a2154f46c161088db4f79c223003d6d22aa9188 GIT binary patch literal 1460559 zcmeFZcUV(fw=TYDMkyjvqz3^-ML;Qn2n0kxL0LSqNbfzNhLD8ca_{|pd!PNC`#k5~bN~3==X~K=Bw1@Q*BoPxIp%oBcqbP$?zsoEfrq~qXq0xN6SQ9i85bbt-%k3v|@*%~PL~jSGx#-fS z!KJsHG-0+<;Z{1Wh=G0^gWA3s#u`{EcARB!QuJQJ2R`Wi%QsU!+Sw!0V$36rZ`z2v zD7;Y;7pXKU*_CqRpZ_+-cNd9<$w_%1&@hm66EYL7h%D8QHs6_cd>D4W(3%mkYx;4# zI7L7CcF_x~&q0Y8#7=dC%lV!b5nT(vywBPqH-COgZg48QIDW2gt>#V1kK%pG*hDzw z{Y$%bd?ihO 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