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SMILE TO PAY WITH YOUR FACE: HACKING INTO PROGRAMMED FACIALITY IN THE AGE OF BIG DATA AND AI

dc.contributor.authorGerner, Alexander
dc.date.accessioned2020-12-28T11:00:08Z
dc.date.available2020-12-28T11:00:08Z
dc.date.issued2020-12-19
dc.description.abstractHumanity is facing to be increasingly immersed in the digital world, becoming hackable concerning self-, personhood and our sociality. Companies and even states are engaged in the digital governance of our behaviour and our extended digital doubles and interconnected bodily selves by profiling, tracking, surveillance, automated decision- making and big data that redefine values and our humanity. Big Data and AI do not always empower diversity. Besides aiding and opening up new fields of research that could not previously exist as in complex systems or any endeavour that has to handle vast amounts of data, AI and Big Data confront us in face-recognition und attribution of values such as emotions with inherent biases of data sets and preselected data. With this paper, we heed the perils of Big Data and AI such as our loss of privacy, sociality, autonomy and democracy in data-driven engineered determinism of programmed and automatically reckoned faciality. Programmed Faciality will be hacked into with artistic, aesthetic dramaturgies and media strategies, as a starting point to overcome participation without democracy. Hacking into datafied surveillance might be trailblazing a more just and fairer digital and Big data era leading us beyond a mere algorithmic participative "Use-Age".pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationGerner, A.M. (2020). "Smile to pay with your face. Hacking into programmed faciality in the age of Big Data and AI" In: ​Alves de Sousa, E., Broens, M.C., Gonzalez, M.E.(Org.) Big Data: Implicações Epistemológicas e Éticas (= Coleção CLE, Vol.88) São Paulo: Filoczar, pp.177-209. ISSN: 0103-3247pt_PT
dc.identifier.issn0103-3247
dc.identifier.urihttp://hdl.handle.net/10451/45559
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherFiloczarpt_PT
dc.relationThis research is financed by the portuguese national funds via FCT - Fundação para a Ciência e a Tecnologia, I.P., within the scope of the Transitional Standard - DL57/2016/CP CT[12343/2018- in the scientific field of History and Philosophy of Science and Technology, FCUL Position 2404, project by Alexander Gerner: “Hacking Humans. Dramaturgies and Technologies of Becoming Other”pt_PT
dc.relation.ispartofseriesColeção CLE;
dc.relation.ispartofseriesVol.88;
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/pt_PT
dc.subjectPHILOSOPHY OF TECHNOLOGYpt_PT
dc.subjectAI ETHICS; BIG DATA ETHICS; AI AESTHETICS; HACKING FASCIALITY;pt_PT
dc.titleSMILE TO PAY WITH YOUR FACE: HACKING INTO PROGRAMMED FACIALITY IN THE AGE OF BIG DATA AND AIpt_PT
dc.typebook part
dspace.entity.typePublication
oaire.citation.conferencePlaceSão Paulo, Brasilpt_PT
oaire.citation.endPage209pt_PT
oaire.citation.startPage177pt_PT
oaire.citation.titleBig Data: Implicações Epistemológicas e Éticaspt_PT
oaire.citation.volumeColeção CLE, Vol.88pt_PT
person.familyNameGerner
person.givenNameAlexander Matthias
person.identifier.ciencia-idE31F-D78B-6D17
person.identifier.orcid0000-0003-0914-5591
rcaap.rightsopenAccesspt_PT
rcaap.typebookPartpt_PT
relation.isAuthorOfPublication89098597-7390-4d65-a272-529d98d18430
relation.isAuthorOfPublication.latestForDiscovery89098597-7390-4d65-a272-529d98d18430

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