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Facing Immersive “Post-Truth” in AIVR?

Title: Facing Immersive “Post-Truth” in AIVR?
Authors: Aliman, Nadisha Marie; Kester, Leon; Sub General Interaction; General Interaction
Publication Year: 2020
Subject Terms: Affective science; AI; AI safety; AIVR safety; Disinformation; Epistemology; Psychology; Scientific method; VR; Philosophy; History and Philosophy of Science
Description: In recent years, prevalent global societal issues related to fake news, fakery, misinformation, and disinformation were brought to the fore, leading to the construction of descriptive labels such as “post-truth” to refer to the supposedly new emerging era. Thereby, the (mis-)use of technologies such as AI and VR has been argued to potentially fuel this new loss of “ground-truth”, for instance, via the ethically relevant deepfakes phenomena and the creation of realistic fake worlds, presumably undermining experiential veracity. Indeed, unethical and malicious actors could harness tools at the intersection of AI and VR (AIVR) to craft what we call immersive falsehood, fake immersive reality landscapes deliberately constructed for malicious ends. This short paper analyzes the ethically relevant nature of the background against which such malicious designs in AIVR could exacerbate the intentional proliferation of deceptions and falsities. We offer a reappraisal expounding that while immersive falsehood could manipulate and severely jeopardize the inherently affective constructions of social reality and considerably complicate falsification processes, humans may neither inhabit a post-truth nor a post-falsification age. Finally, we provide incentives for future AIVR safety work, ideally contributing to a future era of technology-augmented critical thinking.
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
ISSN: 2409-9287
Relation: https://dspace.library.uu.nl/handle/1874/413671
Availability: https://dspace.library.uu.nl/handle/1874/413671
Rights: info:eu-repo/semantics/OpenAccess
Accession Number: edsbas.2A5730DF
Database: BASE