challenges

4.1.1.1. More accurate predictions can be made with previously unused data types.- different types of data for diff. credit solutions.

Machine learning is acknowledged to have originated with the work of McCulloch and Pitts (1943). They recognised that brain signals are digital in nature, more specifically binary signals. According to Chakraborty and Joseph (2017) each ML system comprises five components: (1) a problem, (2) data source, (3) a model, (4) an optimization algorithm and (5) validation and testing.<br /> ML is best suited for situations that require extracting patterns from noisy data or sensory perception—or a data-up approach.

Benford’s Law” is one of the simplest ways to detect fraud. It is accomplished by running an analysis on the first digits in a given set of data. A predictable distribution of first digits will exist in a set of “real” data. Benford’s Law has existed since the late 1800s. AI is beneficial here because ML algorith....

Until recently hedge funds and HFT firms were the main users of AI in finance, but applications have now spread to other areas including banks, regulators, Fintech, insurance firms to name a few

Using mobile phone data, Bjorkegren and Grissen (2015) employ ML methods to predict loan repayments.

In the insurance industry, Cytora is using AI to make better risk assessments about their customers, leading to more accurate pricing and minimising claims.

Thus a search history indicating accessing gambling websites would cluster a potential borrower into a higher risk group. While on the other hand, a history of online spending that supports the

This approach, which relies on a narrow set of criteria, fails to serve a large segment of consumers and SMEs lacking a formal credit history, so these potential customers turn to nonbank sources of credit. I

evidence for why HCI is dependant on societal changes. first copuers were different, then came PCs, which demanded for a new HCI.

yvones say HCI is interdiscipline and not an established discipline like physics or chemistry, but in tune with societal concerns.

this paper says HCI is multidisciplinary (science+design). so what is difference between inter and multi?

carrier of meme- host of virus

does this study take into account how the participants liked the triggeres? likability, irritability?