path: root/biblio.bib

#####################################################""
#Echelle institutionelle 

#Justice prédictive
@article{brayne2015predictive,
  title={Predictive policing},
  author={Brayne, Sarah and Rosenblat, Alex and Boyd, Danah},
  journal={Data \& Civil Rights: A New Era Of Policing And Justice},
  pages={2015--1027},
  year={2015}
}

@misc{soundthinking,
    howpublished={\url{https://www.soundthinking.com/}},
    title={Soundthinking},
    note={Dernier accès: 2024-08-16}
}


@article{
zhiyuan2020limits,
author = {Zhiyuan “Jerry” Lin  and Jongbin Jung  and Sharad Goel  and Jennifer Skeem },
title = {The limits of human predictions of recidivism},
journal = {Science Advances},
volume = {6},
number = {7},
pages = {eaaz0652},
year = {2020},
doi = {10.1126/sciadv.aaz0652},
URL = {https://www.science.org/doi/abs/10.1126/sciadv.aaz0652},
eprint = {https://www.science.org/doi/pdf/10.1126/sciadv.aaz0652},
abstract = {Statistical algorithms can outperform human predictions of recidivism. Dressel and Farid recently found that laypeople were as accurate as statistical algorithms in predicting whether a defendant would reoffend, casting doubt on the value of risk assessment tools in the criminal justice system. We report the results of a replication and extension of Dressel and Farid’s experiment. Under conditions similar to the original study, we found nearly identical results, with humans and algorithms performing comparably. However, algorithms beat humans in the three other datasets we examined. The performance gap between humans and algorithms was particularly pronounced when, in a departure from the original study, participants were not provided with immediate feedback on the accuracy of their responses. Algorithms also outperformed humans when the information provided for predictions included an enriched (versus restricted) set of risk factors. These results suggest that algorithms can outperform human predictions of recidivism in ecologically valid settings.}}

@misc{equivant,
    howpublished={\url{https://www.equivant.com/}},
    title={Equivant},
    note={Dernier accès: 2024-07-24}
}
@article{dildar2021skin,
  title={Skin cancer detection: a review using deep learning techniques},
  author={Dildar, Mehwish and Akram, Shumaila and Irfan, Muhammad and Khan, Hikmat Ullah and Ramzan, Muhammad and Mahmood, Abdur Rehman and Alsaiari, Soliman Ayed and Saeed, Abdul Hakeem M and Alraddadi, Mohammed Olaythah and Mahnashi, Mater Hussen},
  journal={International journal of environmental research and public health},
  volume={18},
  number={10},
  pages={5479},
  year={2021},
  publisher={MDPI}
}

@article{gulshan2016development,
  title={Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs},
  author={Gulshan, Varun and Peng, Lily and Coram, Marc and Stumpe, Martin C and Wu, Derek and Narayanaswamy, Arunachalam and Venugopalan, Subhashini and Widner, Kasumi and Madams, Tom and Cuadros, Jorge and others},
  journal={jama},
  volume={316},
  number={22},
  pages={2402--2410},
  year={2016},
  publisher={American Medical Association}
}

@article{quinn2022three,
  title={The three ghosts of medical AI: Can the black-box present deliver?},
  author={Quinn, Thomas P and Jacobs, Stephan and Senadeera, Manisha and Le, Vuong and Coghlan, Simon},
  journal={Artificial intelligence in medicine},
  volume={124},
  pages={102158},
  year={2022},
  publisher={Elsevier}
}

@misc{fortune500,
    title={Fortune 500},
    howpublished={\url{https://fortune.com/ranking/global500/}},
    note={Dernier accès: 2024-07-24}
}

@article{ore2022opportunities,
  title={Opportunities and risks of artificial intelligence in recruitment and selection},
  author={Ore, Olajide and Sposato, Martin},
  journal={International Journal of Organizational Analysis},
  volume={30},
  number={6},
  pages={1771--1782},
  year={2022},
  publisher={Emerald Publishing Limited}
}

@inproceedings{al2021role,
  title={The role of artificial intelligence in recruitment process decision-making},
  author={Al-Alawi, Adel Ismail and Naureen, Misbah and AlAlawi, Ebtesam Ismaeel and Al-Hadad, Ahmed Abdulla Naser},
  booktitle={2021 International Conference on Decision Aid Sciences and Application (DASA)},
  pages={197--203},
  year={2021},
  organization={IEEE}
}

@misc{segal2021fairnesseyesdatacertifying,
      title={Fairness in the Eyes of the Data: Certifying Machine-Learning Models}, 
      author={Shahar Segal and Yossi Adi and Benny Pinkas and Carsten Baum and Chaya Ganesh and Joseph Keshet},
      year={2021},
      eprint={2009.01534},
      archivePrefix={arXiv},
      primaryClass={cs.AI},
      url={https://arxiv.org/abs/2009.01534}, 
}







#####################################################""
#Echelle individuelle 

@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}
}

@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}
}

########################################"
#Intéret pour l'IA
#Google trend 
@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}
}

####################################""
#Stratégie AI de la France
@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}
}


%%%%%%%%%%%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{openaibig,
    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}
}

##################################
#Chine surveillance de la population

@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}
}

################################
#Définition
@book{theetete,
    title={Théétète},
    author={Platon},
    year={300 av. JC}
}
@misc{dartmouth,
    title={Dartmouth summer research project on artificiale intelligence},
    howpublished={\url{https://raysolomonoff.com/dartmouth/boxa/dart564props.pdf}},
    author={
        McCarthy, John and Minsky, Marvin and Rochester Nathaniel and Shannon, Claude
    },
    note={Dernier accès: 2024-08-05}
}

@misc{banIA,
    title={En 2024, bannissons les termes "intelligence artificielle"},
    howpublished={\url{https://www.radiofrance.fr/franceculture/podcasts/le-biais-d-aurelie-jean/le-biais-d-aurelie-jean-chronique-du-mardi-02-janvier-2024-9653995}},
    author={Jean, Aurélie},
    note={Dernier accès: 2024-08-05}
}

@misc{gnuAI,
    title={Words to Avoid (or Use with Care) Because They Are Loaded or Confusing.},
    howpublished={\url{https://www.gnu.org/philosophy/words-to-avoid.html#ArtificialIntelligence}},
    note={Dernier accès: 2024-08-05}
}
@book{dico-int,
    title={Dictionaire de l'Académie francaise, 9° édition},
    note={\url{http://www.dictionnaire-academie.fr/article/A9I1608}, Dernier accès: 2024-08-05}
}
@book{dico-art,
    title={Dictionaire de l'Académie francaise, 9° édition},
    note={\url{http://www.dictionnaire-academie.fr/article/A9A2706},Dernier accès: 2024-08-05}
}
@misc{underscore,
    title={Cette nouvelle IA est bluffante},
    author={Chaîne Youtube Underscore},
    year={2024},
    howpublished={\url{https://www.youtube.com/watch?v=QUr93cD2ZUs}},
    note={Dernier accès: 2024-08-05}
}
@misc{grep,
    title={grep},
    howpublished={\url{https://www.gnu.org/software/grep/manual/grep.html}},
    note={Dernier accès: 2024-08-05}
}
@misc{ocrad,
    title={Ocrad},
    howpublished={\url{https://www.gnu.org/software/ocrad/ocrad.html}},
    note={Dernier accès: 2024-08-05}
}


#########################################
#Philosophie

@article{Singler_2018, title={Roko’s Basilisk or Pascal’s? Thinking of Singularity Thought Experiments as Implicit Religion}, volume={20},  url={https://journal.equinoxpub.com/IR/article/view/3226},  DOI={10.1558/imre.35900}, abstractNote={In 2010 a thought experiment speculating on the motivations and aims of a potential superintelligent Artificial Intelligence, sometimes known as the ‘Singularity’, caused uproar and anxiety on the forum board where it was initially posted. This paper considers that thought experiment’s debt to older forms of religious argument, the reactions from among the community, and how expectations about the Singularity as a being with agency can be considered to be an example of implicit religion. This is significant as the thought experiment appeared in a field of research, AI, considered by many to be secular due to its technological focus. The communities under discussion also explicitly express their aim of ‘perfecting’ human rationality, and place that ability in opposition to ‘religion’ as a derided object and the aims of ‘Goddists’ in general. This tension between overt atheism and secular communities’ return to religious tropes and narratives is relevant for the wider study of religion in the contemporary era.}, number={3}, journal={Implicit Religion}, author={Singler, Beth}, year={2018}, month={May}, pages={279–297} }

@misc{matrix,
    title={The Matrix},
    author={Wachowski and Silver and Pope},
    year={1999}
}

@book{bicentenaire,
    title={The Bicentennial Man},
    author={Asimov,Isaac},
    year={1976},
}


@misc{avenger,
    title={Avengers: Age of Ultron},
    author={ Whedon, Joss and Feige, Kevin},
    year={2015},
    note={Based on the comics by Stan Lee and Jack Kirby}
}
@misc{terminator,
    title={The Terminator},
    author={Cameron, James and Hurd, Gale Anne},
    year={1999}
}

@misc{2001odyssey,
    title={2001: A space odyssey},
    author={Kubrick, Stanley and Clarke, Arthur C. },
    year={1968}
}
@misc{futurama,
    title={Futurama},
    author={Groening, Matt},
    year={2003}
}

@misc{wargames,
    title={War games},
    author={Badham, John and Lasker, Lawrence and Parkes, Walter F. and Schneider,Harold},
    year={1983}
}

@book{assimovIrobot,
    title={I, Robot},
    year={1950},
    author={Isaac Asimov}
}

@book{cornu,
    title={Vocabulaire juridique},
    author={Cornu, Gérard},
    year={2014},
    note={Dixième édition}
}

@article{MARAKAS2000719,
title = {A theoretical model of differential social attributions toward computing technology: when the metaphor becomes the model},
journal = {International Journal of Human-Computer Studies},
volume = {52},
number = {4},
pages = {719-750},
year = {2000},
issn = {1071-5819},
doi = {https://doi.org/10.1006/ijhc.1999.0348},
url = {https://www.sciencedirect.com/science/article/pii/S1071581999903488},
author = {GEORGE M. MARAKAS and RICHARD D. JOHNSON and JONATHAN W. PALMER},
keywords = {anthropomorphism, symbolic computing, social acts, laws of control, computer self-efficiency.},
abstract = {This paper explores the use of metaphorical personification (anthropomorphism) as an aid to describing and understanding the complexities of computing technologies. This common and seemingly intuitive practice (it “reads”, “writes”, “thinks”, “is friendly”, “catches and transmits viruses”, etc.) has become the standard by which we formulate our daily communications, and often our formal training mechanisms, with regard to the technology. Both anecdotal and empirical sources have reported numerous scenarios in which computers have played a noticeably social role, thus being positioned more as a social actor than as a machine or “neutral tool.” In these accounts, human behavior has ranged from making social reference to the device (“It's really much smarter than me,”), to more overt social interactions including conversational interplay and display of common human emotions in response to an interaction. Drawing from behavioral psychology and attribution theory, a theoretical model of the phenomenon is offered from which several propositions are advanced regarding the nature of the behavior, positive and negative implications associated with extended use of this metaphor, and recommendations for research into this ubiquitous social phenomena. … I have encountered these situations before, and in every case they were the result of human error. -HAL 9000 from Arthur C. Clarke's 2001: A Space Odyssey}
}


@article{searle1980minds,
  title={Minds, brains, and programs},
  author={Searle, John R},
  journal={Behavioral and brain sciences},
  volume={3},
  number={3},
  pages={417--424},
  year={1980},
  publisher={Cambridge University Press}
}