Dimensions of artificial intelligence on family communication

Nada Alfeir

15 citations0/0 files storedFrontiers in Artificial Intelligence

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Ethics and Social Impacts of AI Artificial Intelligence in Healthcare and Education AI in Service Interactions

Abstract

Introduction Artificial intelligence (AI) has created a plethora of prospects for communication. The study aims to examine the impacts of AI dimensions on family communication. By investigating the multifaceted effects of AI on family communication, this research aims to provide valuable insights, uncover potential concerns, and offer recommendations for both families and society at large in this digital era. Method A convenience sampling technique was adopted to recruit 300 participants. Results A linear regression model was measured to examine the impact of AI dimensions which showed a statistically significant effect on accessibility (p = 0.001), personalization (p = 0.001), and language translation (p = 0.016). Discussion The findings showed that in terms of accessibility (p = 0.006), and language translation (p = 0.010), except personalization (p = 0.126), there were differences between males and females. However, using multiple AI tools was statistically associated with raising concerns about bias and privacy (p = 0.015), safety, and dependence (p = 0.049) of parents. Conclusion The results showed a lack of knowledge and transparency about the data storage and privacy policy of AI-enabled communication systems. Overall, there was a positive impact of AI dimensions on family communication.

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References

2020Bias in data‐driven artificial intelligence systems—An introductory survey 2020Bridging the Gap Between Ethics and Practice 2021Artificial intelligence, systemic risks, and sustainability 2002Understanding Family Communication Patterns and Family Functioning: The Roles of Conversation Orientation and Conformity Orientation 2023A systematic review on artificial intelligence dialogue systems for enhancing English as foreign language students’ interactional competence in the university 2023Artificial intelligence in communication impacts language and social relationships 2014Family functioning and information and communication technologies: How do they relate? A literature review 2020Artificial Intelligence in mental health and the biases of language based models

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