Emotional AI and EdTech: Serving the Public Good?

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Emotional AI and EdTech: Serving the Public Good? / McStay, Andrew.
Yn: Learning, Media and Technology, Cyfrol 45, Rhif 3, 06.11.2019, t. 270-283.

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McStay, A 2019, 'Emotional AI and EdTech: Serving the Public Good?', Learning, Media and Technology, cyfrol. 45, rhif 3, tt. 270-283. https://doi.org/10.1080/17439884.2020.1686016

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McStay A. Emotional AI and EdTech: Serving the Public Good? Learning, Media and Technology. 2019 Tach 6;45(3):270-283. Epub 2019 Tach 5. doi: 10.1080/17439884.2020.1686016

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McStay, Andrew. / Emotional AI and EdTech: Serving the Public Good?. Yn: Learning, Media and Technology. 2019 ; Cyfrol 45, Rhif 3. tt. 270-283.

RIS

TY - JOUR

T1 - Emotional AI and EdTech: Serving the Public Good?

AU - McStay, Andrew

PY - 2019/11/6

Y1 - 2019/11/6

N2 - Education Technology (EdTech) companies are deploying emotional AI to quantify social and emotional learning. Focusing on facial coding emotional AI that uses computer vision and algorithms to see, recognise, categorise and learn about facial expressions of emotion, this paper evaluates nascent usage of these technologies in education. To do this, it assesses the nature of child rights, the history and modern usage of face-based emotional AI, methodology and efficacy, and what this paper sees as a clash of private and public interests. Concern is shown to be two-fold: first is on method, especially given scope for material effects on students; second are ethical and legal concerns. While proposing a list of considerations for any implementation for these technologies in the classroom, the paper concludes that significant risks exist in deployment of these technologies in the classroom.

AB - Education Technology (EdTech) companies are deploying emotional AI to quantify social and emotional learning. Focusing on facial coding emotional AI that uses computer vision and algorithms to see, recognise, categorise and learn about facial expressions of emotion, this paper evaluates nascent usage of these technologies in education. To do this, it assesses the nature of child rights, the history and modern usage of face-based emotional AI, methodology and efficacy, and what this paper sees as a clash of private and public interests. Concern is shown to be two-fold: first is on method, especially given scope for material effects on students; second are ethical and legal concerns. While proposing a list of considerations for any implementation for these technologies in the classroom, the paper concludes that significant risks exist in deployment of these technologies in the classroom.

KW - Affective computing

KW - EdTech

KW - creepiness

KW - emotional AI

KW - human rights

U2 - 10.1080/17439884.2020.1686016

DO - 10.1080/17439884.2020.1686016

M3 - Article

VL - 45

SP - 270

EP - 283

JO - Learning, Media and Technology

JF - Learning, Media and Technology

SN - 1743-9884

IS - 3

ER -