# Responsible AI (RAI) for 6G: Frameworks, Applications, Challenges and Research Directions

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/responsible-ai-rai-for-6g-frameworks-applications-challenges-and-research/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Hailin Feng,Kai Fang,Thippa Reddy Gadekallu,Chamitha de Alwis,Jijing Cai,Yuchao Xia,Wei Wang,Quoc-Viet Pham,Madhusanka Liyanage |
| Citations | 0 |
| DOI | 10.36227/techrxiv.176823056.61149991/v1 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.techrxiv.org/doi/pdf/10.36227/techrxiv.176823056.61149991/v1 |
| OpenAlex ID | https://openalex.org/W7122425989 |
| Type | preprint |
| Year | 2026 |

## Paper authors

- [Wei Wang](https://scholariq.org/researchers/wei-wang-5/)

## Paper primary topic

- [Advanced Wireless Communication Technologies](https://scholariq.org/topics/advanced-wireless-communication-technologies/)

## Paper topics

- [Advanced Wireless Communication Technologies](https://scholariq.org/topics/advanced-wireless-communication-technologies/)
- [IoT and Edge/Fog Computing](https://scholariq.org/topics/iot-and-edge-fog-computing/)
- [Software-Defined Networks and 5G](https://scholariq.org/topics/software-defined-networks-and-5g/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.