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Ethical Challenges in the Development of Virtual Assistants Powered by Large Language Models
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Ethics-Based Auditing to Develop Trustworthy AI
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The disruptive power of Artificial Intelligence. Ethical aspects of gerontechnology in elderly care
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Artificial Intelligence (AI) applications for COVID-19 pandemic
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inferredcites →https://doi.org/10.1109/icassp.2015.7178964openalex-snapshot
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Responsible AI—Two Frameworks for Ethical Design Practice
inferredcites →https://doi.org/10.1109/tts.2021.3121956openalex-snapshot
IEEE Transactions on Technology and Society
inferredcites →https://doi.org/10.1145/3340764.3344441openalex-snapshot
Effects of Smart Virtual Assistants' Gender and Language
inferredcites →https://doi.org/10.1145/3351095.3372873openalex-snapshot
Closing the AI accountability gap
inferredcites →https://doi.org/10.1145/3399715.3399845openalex-snapshot
Exploring the Potential of Speech-based Virtual Assistants in Mixed Reality Applications for People with Cognitive Disabilities
inferredcites →https://doi.org/10.1145/3405755.3406151openalex-snapshot
Eschewing Gender Stereotypes in Voice Assistants to Promote Inclusion
inferredcites →https://doi.org/10.1145/3571730openalex-snapshot
Survey of Hallucination in Natural Language Generation
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Artificial intelligence ethics by design. Evaluating public perception on the importance of ethical design principles of artificial intelligence
inferredcites →https://doi.org/10.18653/v1/p18-1031openalex-snapshot
Universal Language Model Fine-tuning for Text Classification
inferredcites →https://doi.org/10.21437/iberspeech.2022-25openalex-snapshot
Ethics Guidelines for the Development of Virtual Assistants for e-Health
inferredcites →https://doi.org/10.21437/interspeech.2022-143openalex-snapshot
XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale
inferredcites →https://doi.org/10.3390/electronics12143170openalex-snapshot
Ethical Challenges in the Development of Virtual Assistants Powered by Large Language Models
inferredcites →https://doi.org/10.5220/0009417600970103openalex-snapshot
Virtual Assistants for Learning: A Systematic Literature Review
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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