Zepf, Sebastian;
Colley, Mark;
(2025)
Human Authenticity and Flourishing in an AI-Driven World: Edmund's Journey and the Call for Mindfulness.
In:
Proceedings of the 27th International Conference on Multimodal Interaction.
(pp. pp. 693-698).
ACM
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Abstract
Humans have always dreamed of possessing superpowers, and the rapid development of AI-based features promises to bring these dreams (closer) to reality. However, these advancements come with significant risks. This paper advocates for challenging existing methods and approaches in design and evaluation for more responsible AI. We stimulate reflection through a futuristic user journey illustrating the AI-driven life of Edmund in 2035. Subsequently, we discuss four AI-based superpowers: extended perception, cognitive offloading, externalized memory, and enhanced presence. We then discuss implications for HCI and AI, emphasizing the need for preserving intrinsic human superpowers, identifying meaningful use cases for AI, and evaluating AI’s impact on human abilities. This paper advocates for responsible and reflective AI integration and proposes a pathway towards the idea of a Human Flourishing Benchmark.
| Type: | Proceedings paper |
|---|---|
| Title: | Human Authenticity and Flourishing in an AI-Driven World: Edmund's Journey and the Call for Mindfulness |
| Event: | ICMI '25: International Conference on Multimodal Interaction |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1145/3716553.3750736 |
| Publisher version: | https://doi.org/10.1145/3716553.3750736 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Superpowers; mediated reality; externalize memory; extend perception; cognitive offloading; enhanced presence; Black Mirror Vision |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10215972 |
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