FTC to Examine Effects of Big Data on Low Income and Underserved Consumers at September Workshop #00025

Submission Number:
00025
Commenter:
Dennis Hirsch
Organization:
Capital University Law School
State:
Ohio
Initiative Name:
FTC to Examine Effects of Big Data on Low Income and Underserved Consumers at September Workshop
Matter Number:

P145406

The attached Word document contains my comments on Big Data: A Tool for Inclusion or Exclusion, Workshop, Project No. P145406. My central contention is that the FTC could use its Section 5 unfairness authority to regulate Big Data's discriminatory impacts and to provide guidance on which secondary uses are appropriate and permissible, and which are inappropriate and unfair. This would curb the most excessive of Big Data's potential discriminatory impacts. Such a regulatory effort would allow the field of data analytics to grow and prosper without provoking a fairness-based backlash. In so doing, it would allow society better to achieve Big Data's many benefits. Thank you for the opportunity to submit these comments.