FTC to Examine Effects of Big Data on Low Income and Underserved Consumers at September Workshop; Project No. P145406
I have studied the effects of big data ever since I was sued for a debt I neve even heard of. That experience led me to pull every lawsuit that the company ever filed, and found --way back in 2007-- affidavits filed by only one employee. I filed an FTC complaint, which was then used in the Round Table Discussion on Debt Collection sometime in 2008 or 2009. That data clearly showed me that the company I researched clearly used big data, because the head of the company put out a press release claiming they had a Starfire server comtaining information on virtually everyone in the United States. And all of the cases I pulled were against people who were or appeared to be clearly outgunned. I know for a fact that that same man was either a brokers or loan officer or both. Sources: LinkedIn ( D Scott Clarke) Prnewswire press release (2003) Oak Street's Hudson & Keyse Joint Venture Pays Off.! press release for Intellidyne prnewswire, (2003), It appears to me that if you couple this data aggregation with the market segmentation that cuts across economic lines, you get social stratification on the basis of perceived risk-- by default, that's income based discrimination. Where it hurts low income customers is a mechanism that forces them to use up their most precious commodity on something that doesn't adequately compensate: their time. I found the encroachment on my own time to be considerable, and yes, I am low income. Moreover, it hasn't escaped my attention that background checks also reveal salaries paid in the past, nor has it escaped my attention that if one is out of the workforce more than a few months, they have it much harder to even score an interview. That would not be possible without the use of Big Data.