Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Depending on AI: A Critical Review of Intelligent Systems in Daily Life
0
Zitationen
6
Autoren
2025
Jahr
Abstract
Artificial Intelligence has quickly moved from a relatively new and niche technology to a tool that is becoming ubiquitous in many areas of life. AI is changing how we communicate, learn, and make decisions, whether through a voice assistant, recommendation system, educational platform design, workplace automation or inquiring about AI-created and digital resources. This study investigates growing human reliance/dependence on AI in four important human endeavors: healthcare, education, service and employment, and personal life and social media. Through critical review of existing literature and functionality, the study examines discussion of recent AI models such as chatGPT, Gemini, Cloud and DAL•E and seeks to expose their role in feelings of added productivity and more personalized spaces. Nevertheless, it also addresses being overly reliant, lack of critical thinking, uncertainty in algorithm, and the ethics associated with the black-box model. Conclusions emphasize the value of promoting AI integration, digital literacy and trust-building approaches in implementing a healthy balance and ethical relationship between people and intelligent systems. Moving forward with public accountability and value of transparency to use the value of AI will allow society to collectively benefit while avoiding the relevant risks.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.260 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.116 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.493 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.438 Zit.