TY - GEN
T1 - AI-Aided Co-Creation for Wellbeing
AU - Yu, Haizi
AU - Evans, James A.
AU - Gallo, Donna
AU - Kruse, Adam J.
AU - Patterson, William M.
AU - Varshney, Lav R.
N1 - Publisher Copyright:
© ICCC 2021.All rights reserved.
PY - 2021
Y1 - 2021
N2 - Human health is a state of complete physical, mental, and social wellbeing; not merely absence of disease or infirmity. Longstanding research in the psychology of wellbeing lists mastery, relatedness, and autonomy as the three innate psychological needs that must be fulfilled. Group creativity, when carefully designed and coordinated, is a unique activity that fulfills all three simultaneously, boosting not only global wellbeing but also cultural and economic wealth of diverse communities. However, group creativity is difficult and can thwart competence if not done properly: individual creative contributions are fundamentally complex and co-dependent; their combination requires more intelligence than simple summation or independent voting. We propose a vision to advance AI-aided social co-creation platforms that boost interactive and effective human-human and human-AI collaborations in creating music, which can then expand to other creative and productive domains. Current videoconferencing, distance learning, and social networking helped maintain connection in these pandemic years, but are insufficient for people to collaboratively create. We leverage a new human-interpretable learning paradigm-information lattice learning-together with equity-centered design principles, to build AI-aided platforms that integrate disparate groups of people, their ideas, and expertise into high-quality creative outputs while preserving autonomy of individual human contributors and supporting anti-racist teaching efforts.
AB - Human health is a state of complete physical, mental, and social wellbeing; not merely absence of disease or infirmity. Longstanding research in the psychology of wellbeing lists mastery, relatedness, and autonomy as the three innate psychological needs that must be fulfilled. Group creativity, when carefully designed and coordinated, is a unique activity that fulfills all three simultaneously, boosting not only global wellbeing but also cultural and economic wealth of diverse communities. However, group creativity is difficult and can thwart competence if not done properly: individual creative contributions are fundamentally complex and co-dependent; their combination requires more intelligence than simple summation or independent voting. We propose a vision to advance AI-aided social co-creation platforms that boost interactive and effective human-human and human-AI collaborations in creating music, which can then expand to other creative and productive domains. Current videoconferencing, distance learning, and social networking helped maintain connection in these pandemic years, but are insufficient for people to collaboratively create. We leverage a new human-interpretable learning paradigm-information lattice learning-together with equity-centered design principles, to build AI-aided platforms that integrate disparate groups of people, their ideas, and expertise into high-quality creative outputs while preserving autonomy of individual human contributors and supporting anti-racist teaching efforts.
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M3 - Conference contribution
AN - SCOPUS:85180738531
T3 - Proceedings of the 12th International Conference on Computational Creativity, ICCC 2021
SP - 453
EP - 456
BT - Proceedings of the 12th International Conference on Computational Creativity, ICCC 2021
A2 - de Silva Garza, Andres Gomez
A2 - Veale, Tony
A2 - Aguilar, Wendy
A2 - Perez y Perez, Rafael
PB - Association for Computational Creativity (ACC)
T2 - 12th International Conference on Computational Creativity, ICCC 2021
Y2 - 14 September 2021 through 18 September 2021
ER -