… AI as a road map toward building trusted AI that gets adopted in … We will discuss why
interpretability is key to adoption, what … chapter focuses on interpretable artificial intelligence as …

… are critical factors influencing the adoption of AI systems in … model interpretability and user
trust, with interpretable models … the pivotal role of interpretable artificial intelligence (AI) in …

… lack of mathematical training in clinical curricula and the late adoption of … ter focuses on
interpretable artificial intelligence as one of … 1 An interpretable artificial intelligence (AI) model for …

… and artificial intelligence (AI), with an emphasis on Explainable AI (XAI) as a means of overcoming
the interpretability gap… presents obstacles to the wider adoption and incorporation of AI…

… Interpretable machine learning algorithms strike a balance between model complexity …
adoption of Explainable Artificial Intelligence (XAI) represents a crucial step in bridging the gap …

… AI extra transparent and interpretable, mainly to advance trust and adoption of the era by …
of artificial Intelligence gaining knowledge of methods to make AI fashions interpretable and …

… , the DSS can identify a persuasion gap and use explanations more … to a wider range of
explainable artificial intelligence (XAI) … study participants, we adopted a qualitative evaluation …

… 3, we highlighted the main gaps/issues for XAI which are slowing down the adoption of AI
in … Note that we can also design intrinsically interpretable deep learning models for image …

… interpretability. These advanced models are instrumental in identifying the nonlinear impact
of multidimensional factors on AI adoption to develop efficient strategies to bridge the gap in …

… The emerging adoption of AI adds another layer of … the current debates and identifying gaps
for guiding further research [19]… way) and interpretability (here, the goal of interpretability is to …