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Traditional data used for credit scoring could be replaced by AI-powered processes based on online search and purchase histories
Using non-financial data such as “the type of browser and hardware used to access the internet," or "the history of online searches and purchases,”
Moreover, they say, traditional credit data is not available for “certain kinds of people, like new entrepreneurs, innovators and many informal workers,”
Policy challenges
That growth potential ensures that digital innovation in information and communication is bound to deepen even further and give rise to new priorities in several policy areas. Prudential regulation faces perhaps the most substantial challenges. Regulators need to assess the operational risks of new lending technologies and business models facing their first real-life stress test during the COVID-19 downturn.
Other risks also loom large: more cybersecurity risks (financial institutions and customers using more online services creates potential new opportunities for criminals), and regulatory arbitrage (tailoring business models to reduce regulatory oversight). To address all these challenges, regulatory agencies need to ensure that their expertise matches that of the industry—something historically difficult that may become even harder as more talent enters the financial technology sphere and the pace of innovation accelerates.
originally posted by: JAGStorm
So easy to manipulate.
Every time you search "are there aliens"
also search "how to prove there are no aliens to my coworkers"
Every time you search "is the government watching me"
also search "how to convince your parents the government will use surveillance for good"
Every time you search "what does it mean if my eyes bleed"
also search, "why do homeless people have bloody eyes"
TA-DA !