In the wake of the Sandy Hook shooting, there has been much debate on the radio about the gun policy in the United States. The gun advocates stress that banning ownership of guns will not take it out the hands of criminals and decrease violent crime. Both sides of the debate totes different statistics in order to support their own side. During the presidential debates, there were numerous occasions where numbers were presented and its truthfulness contested by Obama and Romney. One instance that comes to mind was when the factual accuracy of Romney's tax policy for the middle class was in dispute.
I think this is one area where information retrieval / data science /weak AI (doesn't mean crappy AI, but just to distinguish it from the well-defined Strong AI term) can really contribute to the public sphere. Imagine a Google or Wolfram Alpha type program that parses the content of a debate and automatically checks for factual accuracy: gun crime rate, economic data, demographics, tax rates, tax codes etc, perhaps via an overlay on the screen. This really would sway public discussions from "what are the facts" vs "what is the right policy". It also prevents cheating and mis-representation of facts.
To push this idea further, imagine an AI-assisted data retrieval / analytics program for the common masses. To take an example, I wanted to draw a simple correlation graph of gun ownership rates by country vs homicide rate by country. Just to answer this one simple question, I had to manually enter / merge two separate tables found on Wikipedia, and then filter the data for missing entries using MATLAB, and perform a plot. This set of computer skill, in the short future, is beyond the common knowledge of the average citizen, yet they need these types of questions answered concretely in order to vote on the right candidate / policy for this country. How about a more advanced search / analytics that would, given a question in natural language format, e.g. "Has the crime rate in NYC decreased after 1990?", it would automatically retrieve & clean the relevant data and perform the relevant statistical analysis. (Regression, classification, etc.) Currently Google / Bing can answer factual questions, but they are still one step away from answering analytical questions.
Yves Meyer wins the 2017 Abel Prize
1 week ago