Reference no: EM134025619

Discussion Post

Ethical considerations in digital financial services M-Pesa's Sesame Credit-style scoring system uses alternative data-including shopping behavior, social connections, and payment patterns-to determine creditworthiness for people who lack traditional credit histories. This has enabled millions of previously "unbanked" individuals in Kenya to access loans, rental housing, and financial services for the first time, lifting an estimated 2% of households out of poverty. However, critics argue that using social network data and behavioral patterns to make financial decisions raises serious privacy concerns and could perpetuate discrimination. For example, should someone be denied a loan because their friends have poor credit scores? Should your mobile money transactions for "luxury" items (like entertainment) count against you when applying for credit? Consider the ethical trade-offs: On one hand, traditional credit scoring excludes billions of people globally from the financial system, trapping them in cycles of poverty and forcing them to rely on predatory informal lenders. Get the instant assignment help. Alternative data could democratize access to financial services and create opportunity. On the other hand, these systems collect intimate details about people's lives, make decisions using opaque algorithms, and could be used for surveillance or social control. Prepare a brief post on the following questions: Is financial inclusion worth the privacy cost? Where should we draw the line?