Organizations and companies need practical tools and guidelines to kick-off the implementation of Trustworthy Artificial Intelligence (TAI) systems. AI development companies are still in the beginning of this process or have not even started yet. The findings of this article address to decrease...

In the high-stakes race to develop more scalable blockchains, some platforms (Cosmos, EOS, TRON, etc.) have adopted committee-based consensus protocols, whereby the blockchain's record-keeping rights are entrusted to a committee of elected block producers. In theory, the smaller the committee,...

China is seeking to set the rules that will govern the technologies of the future through the development of digital technical standards. Influencing standards favors China’s efforts to consolidate as a tech superpower, while simultaneously allowing the country to build its own ideological...

This study is the first to examine whether the performance of credit rating, one of the most important data-based decision-making of banks, can be improved by using system log data that is extensively accumulated inside the bank for system operation. This study uses the log data recorded for the...

Does workload constitute a bottleneck to a public agency’s mission, and if so, to what extent? We ask these questions in the context of the US government’s procurement of R&D. We link tender, contract, patent, and office records to the identity of the officer responsible for the procurement...

Much of the discussion around big data, artificial intelligence, machine learning, etc. has focused on the private sector. However, a similar evolution is also taking place in the public sector. Over the summer of 2021, we interviewed government officials, management consultants, academics, and...

We examine whether VC-backed startups respond to R&D tax incentives by attempting to scale R&D activities through employment. We exploit a provision of the PATH Act of 2015, which allows qualified small businesses to offset payroll taxes with R&D tax credits, and show that marginally eligible...