… for explainable AI (XAI); however, a systematic review of explainable artificial intelligence
from … The purpose of this study was to perform a systematic literature review of explainable AI …

… prior articles of interest for possible inclusion, and identify key articles with high impact in the
field of … and critical writings on xAI we perform a systematic literature review on the need for …

… examines the existing literature and contributions already done in the field of XAI, including
a … purpose we summarize previous efforts made to define explainability in Machine Learning, …

… Artificial Intelligence (AI) has become ingrained in our society as it assists various sectors
in dealing with difficult issues and reforming outdated methods. AI models run in people’s …

… Various evaluation techniques for XAI presented in literature are also discussed along with
… Prior published survey’s on general explainability have classified XAI techniques based on …

… taxonomies that we have identified in the literature and their advantages, we will now discuss
… Coming back to our previous finding that it might be unfortunate to use both explanation by …

… a systematic literature review (SLR) on the recent developments of XAI methods and …
Among the newly included articles, some were published prior to 2018 but were included in …

… , such as explainable AI, interpretable machine learning, XAI, … After that, more related papers
from the literature review … Moreover, we also collect notable papers from the previous XAI …

… But without a previous … literature, I conclude that interpretative or approximation models
not only provide the best way to achieve the objectual understanding of a machine learning …

… explainable artificial intelligence (XAI) systems using human–computer interaction (HCI)
user-centered techniques. This systematic literature … in the XAI field over the past few years has …