Facial Recognition Technologies. Etho-Assemblages and Alternative Futures
The fAIces project explores the implications of facial recognition technologies by integrating diverse perspectives to expand ethics and foster public engagement and alternative futures.
Projectdetails
Introduction
Facial recognition technologies collect billions of faces that are stored for multiple uses spanning individual identification and tracking, to training of deep neural networks, the mainstay of modern artificial intelligence (AI). From tagging a photo on social media or unlocking a computer, to controversial applications of facial recognition in public spaces, schools, workplaces, and law enforcement activities, facial processing technologies have entered almost every aspect of our lives.
Benefits and Criticisms
While expected benefits relate to security and safety, critics highlight that these technologies normalize surveillance and erode privacy, exacerbate discrimination, and contain insurmountable flaws and inaccuracies.
Research Questions
The fAIces project asks:
- What matters in facial recognition technologies, and why?
- How do the politics of mattering enact diverse ways of being implicated?
- Which forms of citizenship and public engagement are affected?
- How do multiple and complex ethical choices emerge?
Methodology
This study develops a novel methodology by which the perspectives of social groups that have never been studied together, which are jointly but antagonistically implicated in facial recognition technologies, are taken into consideration:
- Scientists who conduct research on facial recognition
- Professionals working in start-ups and technology companies
- Members of advocacy groups and activists
- Black communities
- Artists who incorporate facial recognition in their work
Expected Outcomes
The fAIces project will produce an innovative social theory of the face through the combination of a new conceptual approach, etho-assemblages, which transgresses the idea of pre-given fixed and dichotomic ethical principles, and the generation of original empirical data.
Major outcomes are based on:
- Expanding ethics and imagining alternative futures
- Fueling citizenship and public engagement
- Fostering opportunities for academic thinking to be inspired by activism, underrepresented groups, and artistic practices.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 2.467.635 |
Totale projectbegroting | € 2.467.635 |
Tijdlijn
Startdatum | 1-3-2025 |
Einddatum | 28-2-2030 |
Subsidiejaar | 2025 |
Partners & Locaties
Projectpartners
- UNIVERSIDADE DO MINHOpenvoerder
- CENTRO EM REDE DE INVESTIGACAO EM ANTROPOLOGIA
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Human collaboration with AI agents in national health governance: organizational circumstances under which data analysts and medical experts follow or deviate from AI.This project aims to explore the socio-cultural dynamics of AI in health governance across six countries to develop a theory on ethical AI intervention and its impact on national health policies. | ERC Starting... | € 1.499.961 | 2023 | Details |
Participatory Algorithmic Justice: A multi-sited ethnography to advance algorithmic justice through participatory designThis project develops participatory algorithmic justice to address AI harms by centering marginalized voices in research and design interventions for equitable technology solutions. | ERC Starting... | € 1.472.390 | 2025 | Details |
Human Face Identity Categorization: Bridging the Gap between Vision and Social SemanticsHUMANFACE aims to explore the integration of semantic memory and visual perception in face identity recognition through various experimental approaches, enhancing understanding of human categorization. | ERC Advanced... | € 2.499.851 | 2023 | Details |
EU Face Advanced Communication for Elders Treasuring in SocietyEUFACETS develops a family-oriented social network app to reconnect elders with their past and relatives by digitalizing analog photos and sharing stories, enhancing intergenerational connections. | ERC Proof of... | € 150.000 | 2023 | Details |
Governance by data infrastructure in the post-pandemic democracyDATAGOV investigates the impact of regulatory data infrastructures on governance, citizenship, and inequality in post-pandemic democracies, using qualitative methods across the EU and non-Western countries. | ERC Advanced... | € 2.500.000 | 2025 | Details |
Human collaboration with AI agents in national health governance: organizational circumstances under which data analysts and medical experts follow or deviate from AI.
This project aims to explore the socio-cultural dynamics of AI in health governance across six countries to develop a theory on ethical AI intervention and its impact on national health policies.
Participatory Algorithmic Justice: A multi-sited ethnography to advance algorithmic justice through participatory design
This project develops participatory algorithmic justice to address AI harms by centering marginalized voices in research and design interventions for equitable technology solutions.
Human Face Identity Categorization: Bridging the Gap between Vision and Social Semantics
HUMANFACE aims to explore the integration of semantic memory and visual perception in face identity recognition through various experimental approaches, enhancing understanding of human categorization.
EU Face Advanced Communication for Elders Treasuring in Society
EUFACETS develops a family-oriented social network app to reconnect elders with their past and relatives by digitalizing analog photos and sharing stories, enhancing intergenerational connections.
Governance by data infrastructure in the post-pandemic democracy
DATAGOV investigates the impact of regulatory data infrastructures on governance, citizenship, and inequality in post-pandemic democracies, using qualitative methods across the EU and non-Western countries.
Vergelijkbare projecten uit andere regelingen
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
PRESERVING USERS DATA PRIVACY AND SECURITY IN A FACIAL RECOGNITION SYSTEMDit project onderzoekt de toepassing van homomorfe encryptie voor veilige verwerking en opslag van gezichtsherkenningsdata, om privacyproblemen te verhelpen. | Mkb-innovati... | € 19.922 | 2020 | Details |
Onderzoek naar een AI gedreven gezichtsherkenning bij toegangscontrole EvenementenHet project ontwikkelt een AI-gestuurd registratieplatform om fysieke contactmomenten te minimaliseren en de maatschappij open te houden tijdens toekomstige uitbraken. | Mkb-innovati... | € 20.000 | 2021 | Details |
KUNSTMATIGE INTELLIGENTIE ‘ASO’ CAMERAHet project onderzoekt de haalbaarheid van een betaalbare 'ASO' camera met AI-technologie om asociaal gedrag in de openbare ruimte te herkennen en vast te stellen. | Mkb-innovati... | € 20.000 | 2021 | Details |
AuthentiQHet project richt zich op het versterken van deepfake detectie en het combineren van biometrische checks voor veilige gebruikersidentificatie en -authenticatie. | Mkb-innovati... | € 142.857 | 2023 | Details |
Deepfake Recognition PlatformDeeptrace ontwikkelt een platform voor het herkennen van deepfakes met AI om online manipulaties te detecteren en zo fraude en desinformatie tegen te gaan. | Mkb-innovati... | € 20.000 | 2020 | Details |
PRESERVING USERS DATA PRIVACY AND SECURITY IN A FACIAL RECOGNITION SYSTEM
Dit project onderzoekt de toepassing van homomorfe encryptie voor veilige verwerking en opslag van gezichtsherkenningsdata, om privacyproblemen te verhelpen.
Onderzoek naar een AI gedreven gezichtsherkenning bij toegangscontrole Evenementen
Het project ontwikkelt een AI-gestuurd registratieplatform om fysieke contactmomenten te minimaliseren en de maatschappij open te houden tijdens toekomstige uitbraken.
KUNSTMATIGE INTELLIGENTIE ‘ASO’ CAMERA
Het project onderzoekt de haalbaarheid van een betaalbare 'ASO' camera met AI-technologie om asociaal gedrag in de openbare ruimte te herkennen en vast te stellen.
AuthentiQ
Het project richt zich op het versterken van deepfake detectie en het combineren van biometrische checks voor veilige gebruikersidentificatie en -authenticatie.
Deepfake Recognition Platform
Deeptrace ontwikkelt een platform voor het herkennen van deepfakes met AI om online manipulaties te detecteren en zo fraude en desinformatie tegen te gaan.