One reason might be that the origin of recommendations made by an AI-based system is often incomprehensible (Adadi & Berrada, 2018), which makes it difficult for people to trust the underlying technology (Zhu et al., 2018). This could lead to scenarios in which an AI-based system ...
A deeper understanding of how SMEs learn and transfer knowledge into innovations is extremely important for adjusting innovation policy to the needs of SMEs (Aslesen & Pettersen,2017; Coletti,2010; Cooke,2014; e.g. Isaksen & Karlsen,2013). Thus, this paper holds implications for the following...
. Previous research has attempted to design XAI in a more human-centered way by testing the effect of providing contextual domain knowledge, which was found to be an influencing factor on trust of and reliance on AI-based systems (Dikmen & Burns,2022). XAI can increase users’ trust in an...
For the last six decades, governments in emerging nations, especially African countries, have implemented a number of approaches to solving the problem of slums. The argument is over whether urban renewal or on-site upgrading is as old as the process of urbanisation, particularly the urbanisation ...
There is a pressing need to improve metrics for assessing security and privacy of AI systems and to manage AI technology in a more ethical manner. To address these challenges, an AI Trust Framework and Maturity Model is proposed to enhance trust in the design and management of AI systems. ...
Due to its characteristics, a blockchain network allows trust within the chain for all of the users. Other consensus models were developed after Nakamoto's initial design in 2008, as well as different types of blockchain. There are three types of blockchain: public (Bitcoin, etc.), ...
Moreover, according to the report of the Standish group for the period between 2017 and 2020, the number of projects that failed reached a total of 19%, while the number of projects that experienced any type of failure or challenge reached up to 50%. Although there may be many reasons ...
Specifically, due to the development of e-commerce, the need for offline stores has rapidly declined, and the number of offline stores has decreased accordingly. In particular, as the recent pandemic continues, department store chains such as Macy's, Sears, and JCPenney have closed several ...