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UID:8513@eventos.coletivos.org
SUMMARY:Faces and Machine Vision: Public Conversations on Facial Al and Soc
	iety
DTSTAMP:20261026T152436Z
DTSTART:20261104T083000Z
DTEND:20261104T180000Z
DESCRIPTION:ISCTE - Building 4 - 3rd Floor - Room A302\n\nFacial recognitio
	n and other forms of facial AI are increasingly used across\npolicing and 
	border control\, smartphones and digital platforms\, healthcare and\neduca
	tion\, and a growing range of everyday environments. In this context\, fac
	ial\nAI refers broadly to AI-enabled systems that detect\, analyse\, or in
	fer\ninformation from faces\, such as identification/verification\, catego
	risation\,\nemotion/affect inference\, attention and behaviour analytics\,
	 and other\npredictive or profiling applications.\n\nThis meeting brings t
	ogether a diverse international group of social sciences\nand humanities e
	xperts–spanning STS\, semiotics\, art and cultural studies\,\npolicy\, des
	ign\, visual culture\, and surveillance studies–to discuss a timely and\nu
	rgent question: what is at stake when facial AI makes the face a key inter
	face\nfor decision-making\, governance\, and everyday life?\n\nThis event 
	explores how machine vision reshapes what counts as being “seen” (and\nwha
	t becomes invisible)\; how design choices embed power and assumptions\; ho
	w\nmasks\, avatars\, and algorithmic “faciality” rework identity and recog
	nition\; how\nsurveillance systems reproduce racial and gender inequalitie
	s\; how computational\napproaches can help map public controversies\; how 
	histories and cultural\nnarratives of AI influence what becomes thinkable 
	or inevitable\; and what\n“responsible” governance could look like in prac
	tice.\n\nGuiding questions include: What does it mean to be “seen” by a ma
	chine? Who\ndefines what is visible\, measurable\, and actionable? Which i
	nequalities are\namplified and under what conditions? How do surveillance 
	systems become\nnormalised within institutions (schools\, campuses\, workp
	laces)? What does a\nfeminist/decolonial approach change in how risk\, saf
	ety\, and “user needs” are\ndefined? What are the alternatives to facial r
	ecognition beyond a simple “ban vs\nallow” framing? How can artistic and c
	reative practices help publics imagine and\ndebate different futures?
URL:https://eventos.coletivos.org/event/faces-and-machine-vision-public-con
	versations-on-facial-al-and-society
LOCATION:Iscte_Conhecimento e Inovação (Edifício 4) - Av. das Forças Armada
	s 40\, 1649-026 Lisboa
STATUS:CONFIRMED
CATEGORIES:Ai,digital governance,facial Ai,Lisboa,surveillance
X-ALT-DESC;FMTTYPE=text/html:<p><strong>ISCTE - Building 4 - 3rd Floor - Ro
	om A302</strong><br><br>Facial recognition and other forms of <strong>faci
	al AI</strong> are increasingly used across policing and border control, s
	martphones and digital platforms, healthcare and education, and a growing 
	range of everyday environments. In this context, <em>facial AI</em> refers
	 broadly to AI-enabled systems that detect, analyse, or infer information 
	from faces, such as identification/verification, categorisation, emotion/a
	ffect inference, attention and behaviour analytics, and other predictive o
	r profiling applications.</p><p>This meeting brings together a diverse int
	ernational group of social sciences and humanities experts–spanning STS, s
	emiotics, art and cultural studies, policy, design, visual culture, and su
	rveillance studies–to discuss a timely and urgent question: <strong><em>wh
	at is at stake when facial AI makes the face a key interface for decision-
	making, governance, and everyday life?</em></strong></p><p>This event expl
	ores how machine vision reshapes what counts as being “seen” (and what bec
	omes invisible); how design choices embed power and assumptions; how masks
	, avatars, and algorithmic “faciality” rework identity and recognition; ho
	w surveillance systems reproduce racial and gender inequalities; how compu
	tational approaches can help map public controversies; how histories and c
	ultural narratives of AI influence what becomes thinkable or inevitable; a
	nd what “responsible” governance could look like in practice.</p><p><stron
	g>Guiding questions include:</strong> What does it mean to be “seen” by a 
	machine? Who defines what is visible, measurable, and actionable? Which in
	equalities are amplified and under what conditions? How do surveillance sy
	stems become normalised within institutions (schools, campuses, workplaces
	)? What does a feminist/decolonial approach change in how risk, safety, an
	d “user needs” are defined? What are the alternatives to facial recognitio
	n beyond a simple “ban vs allow” framing? How can artistic and creative pr
	actices help publics imagine and debate different futures?</p>
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DESCRIPTION:Faces and Machine Vision: Public Conversations on Facial Al and
	 Society
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