Results 71 to 80 of about 12,433 (211)

Do deepfakes, digital replicas and human digital twins justify personality rights?

open access: yesThe Journal of World Intellectual Property, EarlyView.
Abstract Unauthorised deepfakes are deeply problematic, from the spreading of misinformation to non‐consensual pornographic content. This paper asks whether deepfakes, digital replicas and human digital twins justify personality rights. To address this question, it examines the harms that deepfakes can cause through disinformation, demeaning content ...
Hayleigh Bosher
wiley   +1 more source

Generative AI adoption and barriers in the insurance industry

open access: yesRisk Management and Insurance Review, EarlyView.
Abstract This study examines the adoption of Generative Artificial Intelligence (Gen AI) in the insurance industry through an institutional lens, drawing on semi‐structured interviews with 21 senior insurance professionals. While Gen AI offers significant potential for a data and text‐intensive industry, adoption remains cautious and uneven.
Aisling Owen   +2 more
wiley   +1 more source

Comprehensive multiparametric analysis of human deepfake speech recognition

open access: yesEURASIP Journal on Image and Video Processing
In this paper, we undertake a novel two-pronged investigation into the human recognition of deepfake speech, addressing critical gaps in existing research.
Kamil Malinka   +5 more
doaj   +1 more source

Potential for use of Al/machine learning for pharmacovigilance: Is there a role for regulators?

open access: yes
British Journal of Clinical Pharmacology, EarlyView.
Christina Gao   +3 more
wiley   +1 more source

“Young Scholar[s] on the Beat”: Multimodal Composition as a Form of Critical AI Literacy Pedagogy

open access: yesJournal of Adolescent &Adult Literacy, Volume 70, Issue 2, September/October 2026.
ABSTRACT “AI literacy” includes both technical competencies and critical engagement with social and ethical dimensions of AI, but literacy approaches are underrepresented in how we conceptualize and teach its core components. In this paper, we focus on youth multimodal composition as a form of AI literacy pedagogy, analyzing the video products and ...
Sarah K. Burriss   +5 more
wiley   +1 more source

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance

open access: yesPolicy &Internet, Volume 18, Issue 3, September 2026.
ABSTRACT Artificial intelligence's integration into daily life has brought with it a reckoning on the role such technology plays in society and the varied stakeholders who should shape its governance. This is particularly relevant for AI‐generated, or synthetic, media, an emergent visual technology impacting perceptions of media as records of reality ...
Claire R. Leibowicz
wiley   +1 more source

Digital Futures Between Participatory Digital Democracy and Participatory Digital Fascism

open access: yesPolicy &Internet, Volume 18, Issue 3, September 2026.
ABSTRACT This paper explores one of the defining political questions of the twenty‐first century: will digital technologies strengthen democracy or accelerate new forms of authoritarianism and fascism? Against the backdrop of platform capitalism, AI‐driven communication, surveillance infrastructures, disinformation and democratic crisis, the study asks
Christian Fuchs   +2 more
wiley   +1 more source

Deepfake:

open access: yesRevista Panamericana de Comunicación, 2020
El deepfake es una especie mediática que evoluciona progresivamente como una amenaza para los dicursos del hacer creer en tiempos de la posverdad. Este estudio tiene como objetivo construir un escenario socio-mediático sobre el fenómeno del deepfake para su comprensión y análisis, en donde se propone una clasificación de géneros, casos, campos ...
openaire   +2 more sources

Nurses' and Nursing Students' Experiences With Generative Artificial Intelligence in Educational and Clinical Settings: A Scoping Review

open access: yesNursing &Health Sciences, Volume 28, Issue 3, September 2026.
ABSTRACT This scoping review follows the Arksey and O'Malley five‐stage framework: (1) identifying research questions, (2) identifying relevant studies, (3) selecting studies, (4) extracting, mapping, and charting data, and (5) collating, summarizing, and reporting findings.
Ming Wei Jeffrey Woo   +1 more
wiley   +1 more source

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