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Introduction
Skills and Expertise
Publications
Publications (18)
This data paper documents a dataset that captures cultural attitudes towards machine vision technologies as they are expressed in art, games and narratives. The dataset includes records of 500 creative works (including 77 digital games, 190 digital artworks and 233 movies, novels and other narratives) that use or represent machine vision technologi...
This data paper documents a dataset that captures cultural attitudes towards machine vision technologies as they are expressed in art, games and narratives. The dataset includes records of 500 creative works (including 77 digital games, 190 digital artworks and 233 movies, novels and other narratives) that use or represent machine vision technologi...
This dataset captures cultural attitudes towards machine vision technologies as they are expressed in art, games and narratives. The dataset includes records of 500 creative works (including 77 digital games, 191 digital artworks and 236 movies, novels and other narratives) that use or represent machine vision technologies like facial recognition,...
Suspicious Behavior is a fictional annotation tutorial inviting readers to critically examine machine learning datasets assembled to detect anomality in surveil- lance footage. This artwork builds upon artistic methods for scrutinizing image datasets, adding the perspective of on-demand workers to expand insight into classification practices. As re...
The urgency of environmental, security, economic and political crises in the early twenty-first century has propelled the use of machine vision to aid human decision-making. These developments have led to strategies in which functions of human intuitive processing have been externalized to ‘vision machines’ in the hope of optimized and objective in...
Machine vision technologies are increasingly ubiquitous in society and have become part of everyday life. However, the rapid adoption has led to ethical concerns relating to privacy, agency, bias and accuracy. This paper presents the methodology and preliminary results from a digital humanities project that maps and categorises references to and us...
Machine vision technologies are increasingly ubiquitous in society and have become part of everyday life. However, the rapid adoption has led to ethical concerns relating to privacy, bias and accuracy. This paper presents the methodology and some preliminary results from a digital humanities project that is mapping and categorising references to an...
Scambaiting is a form of vigilantism that targets internet scammers who try to trick people into advance fee payments. In the past, victims were mainly contacted by bulk emails; now the widespread use of social networking services has made it easier for scammers to contact potential victims - those who seek various online opportunities in the form...
Content:
Fieke Jansen – Tracking & Data brokers
KairUs collective – Behind the Smart World ArtLab – artistic strategies to deal with resurfacing data
KairUs collective – Strategies of Net-activists against constant resurfacing of phishing websites and fake businesses
Michaela Lakova – Deleted file information is like a fossil …
Audrey Samson – Dig...
form only given. Scamming is a global phenomenon and victims can be found everywhere with no difference in gender or race. To persuade the victim into paying money upfront, the scammers create story worlds with 'get rich quick' schemes that seem 'too good to be true'. The scammers draw on emotions like greed, empathy or love. The different narrativ...
With the ’Re: Dakar Arts Festival’ project we present an alternative way to raise awareness about online advance-fee fraud scams, by exploring the extent to which concepts of transmedia storytelling are adaptable in representing a scambait - the practice of scamming a scammer. By investigating practices of scammers we can question the trust that is...
Scam baiters are individuals in online information communities specializing in identifying, documenting and reporting actions of so-called '419 scammers'. A qualitative research approach was applied to the two active scam baiting communities - 419eater.com and the scambaiter.com. Content analysis of several discussions and the examination of interv...
The "Re: Dakar Arts Festival" project brings out into open the practice of Internet scammers and questions the trust we put in online representations. The fictional story worlds created by scammers and scambaiters reveals the dystopia of Internet. This is a world of false representations, abuse of trust, humiliation and desperation for opportunitie...
In this paper we present an alternative way to raise awareness about online advance-fee fraud scams, by exploring the extent to which concepts of Tran media storytelling are adaptable in representing a scam bait - the practice of scamming a scammer. Both scammers and scam baiters take advantage of the anonymity that Internet affords. By investigati...
Projects
Project (1)
This five year, ERC-funded project (2018-2023), led by Professor Jill Walker Rettberg, explores how new algorithmic images are affecting us as a society and as individuals. The Machine Vision team will study theories and histories of visual technologies and current machine vision, analyse digital art, computer games and narrative fictions that use machine vision as theme or interface, and examine the experiences of users and developers of consumer-grade machine vision apps. Three main research questions are woven through all the approaches, addressing 1) new kinds of agency and subjectivity; 2) visual data as malleable; 3) values and biases.
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 771800).
