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Enregistrement W3108590730 · doi:10.5204/mcj.2726

A Flattering Robopocalypse

2020· article· en· W3108590730 sur OpenAlex

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

affAu moins un auteur déclare une institution canadienne dans l'instantané OpenAlex épinglé.

Notice bibliographique

RevueM/C Journal · 2020
Typearticle
Langueen
DomainePsychology
ThématiqueSexuality, Behavior, and Technology
Établissements canadiensSimon Fraser University
Organismes subventionnairesnon disponible
Mots-clésComputer science

Résumé

récupéré en direct d'OpenAlex

RACHAEL. It seems you feel our work is not a benefit to the public.DECKARD. Replicants are like any other machine. They're either a benefit or a hazard. If they're a benefit it's not my problem.RACHAEL. May I ask you a personal question?DECKARD. Yes.RACHAEL. Have you every retired a human by mistake? (Scott 17:30) CAPTCHAs (henceforth "captchas") are commonplace on today's Internet. Their purpose seems clear: block malicious software, allow human users to pass. But as much as they exclude spambots, captchas often exclude humans with visual and other disabilities (Dzieza; W3C Working Group). Worse yet, more and more advanced captcha-breaking technology has resulted in more and more challenging captchas, raising the barrier between online services and those who would access them. In the words of inclusive design advocate Robin Christopherson, "CAPTCHAs are evil". In this essay I describe how the captcha industry implements a posthuman process that speculative fiction has gestured toward but not grasped. The hostile posthumanity of captcha is not just a technical problem, nor just a problem of usability or access. Rather, captchas convey a design philosophy that asks humans to prove themselves by performing well at disembodied games. This philosophy has its roots in the Turing Test itself, whose terms guide speculation away from the real problems that today's authentication systems present. Drawing the concept of "procedurality" from game studies, I argue that, despite a design goal of separating machines and humans to the benefit of the latter, captchas actually and ironically produce an arms race in which humans have a systematic and increasing disadvantage. This arms race results from the Turing Test's equivocation between human and machine bodies, an assumption whose influence I identify in popular film, science fiction literature, and captcha design discourse. The Captcha Industry and Its Side-Effects Exclusion is an essential function of every cybersecurity system. From denial-of-service attacks to data theft, toxic automated entities constantly seek admission to services they would damage. To remain functional and accessible, Websites need security systems to keep out "abusive agents" (Shet). In cybersecurity, the term "user authentication" refers to the process of distinguishing between abusive agents and welcome users (Jeng et al.). Of the many available authentication techniques, CAPTCHA, "Completely Automated Public Turing test[s] to tell Computers and Humans Apart" (Von Ahn et al. 1465), is one of the most iconic. Although some captchas display a simple checkbox beside a disclaimer to the effect that "I am not a robot" (Shet), these frequently give way to more difficult alternatives: perception tests (fig. 1). Test captchas may show sequences of distorted letters, which a user is supposed to recognise and then type in (Godfrey). Others effectively digitize a game of "I Spy": an image appears, with an instruction to select the parts of it that show a specific type of object (Zhu et al.). A newer type of captcha involves icons rotated upside-down or sideways, the task being to right them (Gossweiler et al.). These latter developments show the influence of gamification (Kani and Nishigaki; Kumar et al.), the design trend where game-like elements figure in serious tasks. Fig. 1: A series of captchas followed by multifactor authentication as a "quick security check" during the author's suspicious attempt to access LinkedIn over a Virtual Private Network Gamified captchas, in using tests of ability to tell humans from computers, invite three problems, of which only the first has received focussed critical attention. I discuss each briefly below, and at greater length in subsequent sections. First, as many commentators have pointed out (W3C Working Group), captchas can accidentally categorise real humans as nonhumans—a technical problem that becomes more likely as captcha-breaking technologies improve (e.g. Tam et al.; Brown et al.). Indeed, the design and breaking of captchas has become an almost self-sustaining subfield in computer science, as researchers review extant captchas, publish methods for breaking them, and publish further captcha designs (e.g. Weng et al.). Such research fuels an industry of captcha-solving services (fig. 2), of which some use automated techniques, and some are "human-powered", employing groups of humans to complete large numbers of captchas, thus clearing the way for automated incursions (Motoyama et al. 2). Captchas now face the quixotic task of using ability tests to distinguish legitimate users from abusers with similar abilities. Fig. 2: Captcha production and captcha breaking: a feedback loop Second, gamified captchas import the feelings of games. When they defeat a real human, the human seems not to have encountered the failure state of an automated procedure, but rather to have lost, or given up on, a game. The same frame of "gameful"-ness (McGonigal, under "Happiness Hacking") or "gameful work" (under "The Rise of the Happiness Engineers"), supposed to flatter users with a feeling of reward or satisfaction when they complete a challenge, has a different effect in the event of defeat. Gamefulness shifts the fault from procedure to human, suggesting, for the latter, the shameful status of loser. Third, like games, gamified captchas promote a particular strain of logic. Just as other forms of media can be powerful venues for purveying stereotypes, so are gamified captchas, in this case conveying the notion that ability is a legitimate means, not only of apportioning privilege, but of humanising and dehumanising. Humanity thus appears as a status earned, and disability appears not as a stigma, nor an occurrence, but an essence. The latter two problems emerge because the captcha reveals, propagates and naturalises an ideology through mechanised procedures. Below I invoke the concept of "procedural rhetoric" to critique the disembodied notion of humanity that underlies both the original Turing Test and the "Completely Automated Public Turing test." Both tests, I argue, ultimately play to the disadvantage of their human participants. Rhetorical Games, Procedural Rhetoric When videogame studies emerged as an academic field in the early 2000s, once of its first tasks was to legitimise games relative to other types of artefact, especially literary texts (Eskelinen; Aarseth). Scholars sought a framework for discussing how video games, like other more venerable media, can express ideas (Weise). Janet Murray and Ian Bogost looked to the notion of procedure, devising the concepts of "procedurality" (Bogost 3), "procedural authorship" (Murray 171), and "procedural rhetoric" (Bogost 1). From a proceduralist perspective, a videogame is both an object and a medium for inscribing processes. Those processes have two basic types: procedures the game's developers have authored, which script the behaviour of the game as a computer program; and procedures human players respond with, the "operational logic" of gameplay (Bogost 13). Procedurality's two types of procedure, the computerised and the human, have a kind of call-and-response relationship, where the behaviour of the machine calls upon players to respond with their own behaviour patterns. Games thus train their players. Through the training that is play, players acquire habits they bring to other contexts, giving videogames the power not only to express ideas but "disrupt and change fundamental attitudes and beliefs about the world, leading to potentially significant long-term social change" (Bogost ix). That social change can be positive (McGonigal), or it can involve "dark patterns", cases where game procedures provoke and exploit harmful behaviours (Zagal et al.). For example, embedded in many game paradigms is the procedural rhetoric of "toxic meritocracy" (Paul 66), where players earn rewards, status and personal improvement by overcoming challenges, and, especially, excelling where others fail. While meritocracy may seem logical within a strictly competitive arena, its effect in a broader cultural context is to legitimise privileges as the spoils of victory, and maltreatment as the just result of defeat. As game design has influenced other fields, so too has procedurality's applicability expanded. Gamification, "the use of game design elements in non-game contexts" (Deterding et al. 9), is a popular trend in which designers seek to imbue diverse tasks with some of the enjoyment of playing a game (10). Gamification discourse has drawn heavily upon Mihaly Csikszentmihalyi's "positive psychology" (Seligman and Csikszentmihalyi), and especially the speculative psychology of flow (Csikszentmihalyi 51), which promise enormously broad benefits for individuals acting in the "flow state" that challenging play supposedly promotes (75). Gamification has become a celebrated cause, advocated by a group of scholars and designers Sebastian Deterding calls the "Californian league of gamification evangelists" (120), before becoming an object of critical scrutiny (Fuchs et al.). Where gamification goes, it brings its dark patterns with it. In gamified user authentication (Kroeze and Olivier), and particularly gamified captcha, there occurs an intersection of deceptively difficult games, real-world stakes, and users whose differences go often ignored. The Disembodied Arms Race In captcha design research, the concept of disability occurs under the broader umbrella of usability. Usability studies emphasise the fact that some technology pieces are easier to access than others (Yan and El Ahmad). Disability studies, in contrast, emphasises the fact that different users have different capacities to overcome access barriers. Ability is contextual, an intersection of usability and disability, use case and user (Reynolds 443). When used as an index of humanness, ability yields illusive results. In Posthuman Knowledge, Rosi Braidotti begins her co

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,755
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0050,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,079
Tête enseignante GPT0,362
Écart entre enseignants0,283 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle