Explainable artificial intelligence for 6G: Improving trust between human and machine

W Guo - IEEE Communications Magazine, 2020 - ieeexplore.ieee.org
As 5G mobile networks are bringing about global societal benefits, the design phase for 6G
has started. Evolved 5G and 6G will need sophisticated AI to automate information delivery …

Applications of explainable AI for 6G: Technical aspects, use cases, and research challenges

S Wang, MA Qureshi, L Miralles-Pechuan… - arXiv preprint arXiv …, 2021 - arxiv.org
When 5G began its commercialisation journey around 2020, the discussion on the vision of
6G also surfaced. Researchers expect 6G to have higher bandwidth, coverage, reliability …

Trustworthy deep learning in 6G-enabled mass autonomy: From concept to quality-of-trust key performance indicators

C Li, W Guo, SC Sun, S Al-Rubaye… - IEEE Vehicular …, 2020 - ieeexplore.ieee.org
Mass autonomy promises to revolutionize a wide range of engineering, service, and mobility
industries. Coordinating complex communication among hyperdense autonomous agents …

Explainable artificial intelligence: a comprehensive review

D Minh, HX Wang, YF Li, TN Nguyen - Artificial Intelligence Review, 2022 - Springer
Thanks to the exponential growth in computing power and vast amounts of data, artificial
intelligence (AI) has witnessed remarkable developments in recent years, enabling it to be …

Opportunities and challenges in explainable artificial intelligence (xai): A survey

A Das, P Rad - arXiv preprint arXiv:2006.11371, 2020 - arxiv.org
Nowadays, deep neural networks are widely used in mission critical systems such as
healthcare, self-driving vehicles, and military which have direct impact on human lives …

Explainable AI over the Internet of Things (IoT): Overview, state-of-the-art and future directions

SK Jagatheesaperumal, QV Pham… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
Explainable Artificial Intelligence (XAI) is transforming the field of Artificial Intelligence (AI) by
enhancing the trust of end-users in machines. As the number of connected devices keeps on …

Artificial intelligence for 5g wireless systems: Opportunities, challenges, and future research direction

Y Arjoune, S Faruque - 2020 10th annual computing and …, 2020 - ieeexplore.ieee.org
The advent of the wireless communications systems augurs new cutting-edge technologies,
including self-driving vehicles, unmanned aerial systems, autonomous robots, the Internet-of …

Flexible and context-specific AI explainability: a multidisciplinary approach

V Beaudouin, I Bloch, D Bounie, S Clémençon… - arXiv preprint arXiv …, 2020 - arxiv.org
The recent enthusiasm for artificial intelligence (AI) is due principally to advances in deep
learning. Deep learning methods are remarkably accurate, but also opaque, which limits …

Artificial intelligence for 6G networks: Technology advancement and standardization

MK Shehzad, L Rose, MM Butt… - IEEE Vehicular …, 2022 - ieeexplore.ieee.org
With the deployment of 5G networks, standards organizations have started working on the
design phase for 6G networks. 6G networks will be immensely complex, requiring more …

A survey on explainable artificial intelligence for cybersecurity

G Rjoub, J Bentahar, OA Wahab… - … on Network and …, 2023 - ieeexplore.ieee.org
The “black-box” nature of artificial intelligence (AI) models has been the source of many
concerns in their use for critical applications. Explainable Artificial Intelligence (XAI) is a …