Emotional AI, soft biometrics and the surveillance of emotional life
An unusual consensus on privacy
Bibliographic Data
| ID | 5260653 |
|---|---|
| Authors | Andrew Mcstay (0000-0001-8928-3825, Bangor University, corresponding author) |
| Year | 2020 |
| Volume | 7 |
| Issue | 1 |
| Pages | 205395172090438 |
| Publication date | 2020-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Big Data & Society (JOURNAL) |
| Journal identifiers | ISSN: 2053-9517 • E-ISSN: 2053-9517 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/2053951720904386 |
| OpenAlex | W3013109186 |
| Language | EN |
| Citations received | 30 |
| References cited | 21 |
By the early 2020s, emotional artificial intelligence (emotional AI) will become increasingly present in everyday objects and practices such as assistants, cars, games, mobile phones, wearables, toys, marketing, insurance, policing, education and border controls. There is also keen interest in using these technologies to regulate and optimize the emotional experiences of spaces, such as workplaces, hospitals, prisons, classrooms, travel infrastructures, restaurants, retail and chain stores. Developers frequently claim that their applications do not identify people. Taking the claim at face value, this paper asks, what are the privacy implications of emotional AI practices that do not identify individuals? To investigate privacy perspectives on soft non-identifying emotional AI, the paper draws upon the following: over 100 interviews with the emotion detection industry, legal community, policy-makers, regulators and NGOs interested in privacy; a workshop with stakeholders to design ethical codes for using data about emotions; a UK survey of 2068 citizens on feelings about emotion capture technologies. It finds a weak consensus among social stakeholders on the need for privacy, this driven by different interests and motivations. Given this weak consensus, it concludes that there exists a limited window of opportunity to societally agree principles of practice regarding privacy and the use of data about emotions
Emotional intelligence · Feeling · Internet privacy · Political science · Public relations · Sociology · Computer Science · Emotions and Moral Behavior · Ethics and Social Impacts of AI · Innovative Human-Technology Interaction · Psychology · Social Psychology
Toward an ethical framework for affective AI in education
Intersections Between Fintech Imaginaries and Traditional Banking
Postcyberpunk dystopian cityscape and emotion artificial intelligence
Why not replace people with machines? Exploring Artificial Intelligence’s (in)capacity for education as subjectification
Geographies of artificial intelligence
Questioning the EU proposal for an Artificial Intelligence Act
Machines that feel
The double disconnect
Le tournant affectif des recherches en communication numérique
Substantively smart cities – Participation, fundamental rights and temporality
Modeling understanding through synthetic empathy and the sociotechnical reconfiguration of care
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Development and Validation of the Need for Privacy Scale (NFP-S)
The emotional in-formation of digital life
Manufacturing care
Locating artificial intelligence
Ethics Sheet for Automatic Emotion Recognition and Sentiment Analysis
Pour l’amour de la donnée
Thinking about the mind-technology problem
Attitude of college students towards ethical issues of artificial intelligence in an international university in Japan
Bosses without a heart
Blurring the moral limits of data markets
The Infopolitics of feeling
Digital Emotion Detection, Privacy, and the Law
The unbearable (technical) unreliability of automated facial emotion recognition
Rethinking technological acceptance in the age of emotional AI
Understanding the acceptance of emotional artificial intelligence in Japanese healthcare system
Knowing Your Users by Heart
AI Privacy in Context
Emotional AI
Self-Tracking
Affective computing
Infoglut
Open Data, Data Protection, and Group Privacy
From Individual to Group Privacy in Big Data Analytics
On Human Dignity as a Foundation for the Right to Privacy
Is there universal recognition of emotion from facial expression? A review of the cross-cultural studies
Sociological Practice
Constants across cultures in the face and emotion
Emotional Expressions Reconsidered
Patiency is not a virtue
Administrative social science data
Empathic media and advertising
The Conservatism of Emoji
The Turn to Affect
How are we now? Real-time mood-monitoring as valuation
| Unique citing works | 30 |
|---|---|
| Citations per year | 5 |
| Citation span | 2020 - 2026 (7) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 27 |