---
title: "Comments to the FTC on Avoiding Broad Regulation for Predictive Analytics"
summary: |-
  The FTC should avoid unnecessarily regulating predictive analytics and the underlying data. Instead, it should work with stakeholders to identify and restrict specific unaddressed harms.
date: "2014-04-21"
issues: ["Data Innovation"]
authors: ["Daniel Castro"]
content_type: "Testimonies & Filings"
canonical_url: "https://itif.org/publications/2014/04/21/ftc-should-avoid-broad-regulation-predictive-analytics/"
---

# Comments to the FTC on Avoiding Broad Regulation for Predictive Analytics

Predictive analytics, the use of data and algorithms to make probabilistic statements about unknown events, are a valuable tool for improving public safety, health care and numerous other aspects of society. In comments filed with the Federal Trade Commission, Daniel Castro argues the government should avoid unnecessarily regulating this technology or the underlying data. Instead, it should work with businesses, consumers, and other stakeholders to identify unaddressed, harmful uses of predictive analytics and narrowly restrict those uses.

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*Source: Information Technology & Innovation Foundation (ITIF)*
*URL: https://itif.org/publications/2014/04/21/ftc-should-avoid-broad-regulation-predictive-analytics/*