Actuarial Outpost
 
Go Back   Actuarial Outpost > Actuarial Discussion Forum > General Actuarial
FlashChat Actuarial Discussion Preliminary Exams CAS/SOA Exams Cyberchat Around the World Suggestions


General Actuarial Non-Specific Actuarial Topics - Before posting a thread, please browse over our other sections to see if there is a better fit, such as Careers - Employment, Actuarial Science Universities Forum or any of our other 100+ forums.

Reply
 
Thread Tools Display Modes
  #11  
Old 12-31-2016, 09:21 PM
george24 george24 is offline
Member
SOA
 
Join Date: Aug 2011
Studying for nothing
Posts: 371
Default

Quote:
Originally Posted by JMO View Post
Just an observation - most of the talk in favor of diversity emphasizes the good aspects of minority groups. But what happens if the data mining results show the opposite? Will the proponents of diversity argue against what they didn't expect to see?
Exactly ... diversity is no panacea.

Let's have a course discussing crime by racial groups, and how that should increase premiums. Or, how about IQs by racial groups, and how that should impact premiums.
Reply With Quote
  #12  
Old 01-01-2017, 08:54 AM
MathStatFin's Avatar
MathStatFin MathStatFin is offline
Member
Non-Actuary
 
Join Date: Jul 2014
Posts: 4,143
Default

Quote:
Originally Posted by JMO View Post
Just an observation - most of the talk in favor of diversity emphasizes the good aspects of minority groups. But what happens if the data mining results show the opposite? Will the proponents of diversity argue against what they didn't expect to see?
Of course they will. The idea is that minorities aren't represented enough to justify a bias towards certain minority groups (you lack data). So you then have diversity programs to boost your sample size. What would happen if you end up seeing trends which show that the initial bias was justified? Then your diversity programs are simply discriminatory and the best candidates aren't being hired.
Reply With Quote
  #13  
Old 01-01-2017, 07:29 PM
Captain Oveur Captain Oveur is offline
Member
SOA
 
Join Date: Jul 2013
Posts: 12,537
Default

Quote:
Originally Posted by MathStatFin View Post
Of course they will. The idea is that minorities aren't represented enough to justify a bias towards certain minority groups (you lack data). So you then have diversity programs to boost your sample size. What would happen if you end up seeing trends which show that the initial bias was justified? Then your diversity programs are simply discriminatory and the best candidates aren't being hired.
I don't really know how many people view that as the idea. I think most people in support of increasing diversity just view it as a way for their group to try to get an advantage.
Reply With Quote
  #14  
Old 01-02-2017, 01:26 PM
BassFreq's Avatar
BassFreq BassFreq is offline
Member
CAS
 
Join Date: Jun 2003
Location: Chicago
Studying for all eternity
Favorite beer: Duff
Posts: 1,681
Blog Entries: 2
Default

I just came across this a couple weeks ago - seems quite relevant as the approach they take can (relatively) easily be implemented in actuarial work.

Attacking discrimination with smarter machine learning

https://research.google.com/bigpictu...ination-in-ml/

"As machine learning is increasingly used to make important decisions across core social domains, the work of ensuring that these decisions aren't discriminatory becomes crucial."
__________________
If at first you don't succeed, you have one data point.
Res ipsa loquitur, sed quid in infernos dicet?
Reply With Quote
  #15  
Old 01-02-2017, 02:58 PM
Patriot Patriot is offline
Member
 
Join Date: May 2005
Posts: 548
Default

Machine learning can certainly be used to understand the dynamics of populations but when will it be unleashed as the ultimate self coaching mechanism so that individuals can learn about and improve themselves more efficiently. It's kind of like when people in their 40s and 50s first learned in the 1990s that their credit score was important.

Why do we want to keep Joe Q public ignorant with no mobility? I guess in a capitalistic society it is more fruitful to keep people enslaved so you can make some bucks off them. I remember as a kid in the 70s keeping journals and stats on everything I partook in so that I could study and improve my performance in any and everything.
Reply With Quote
Reply

Tags
bamboo ceiling, corporate bureaucracy, data mining, machine learning, waste of time

Thread Tools
Display Modes

Posting Rules
You may not post new threads
You may not post replies
You may not post attachments
You may not edit your posts

BB code is On
Smilies are On
[IMG] code is On
HTML code is Off


All times are GMT -4. The time now is 08:45 PM.


Powered by vBulletin®
Copyright ©2000 - 2017, Jelsoft Enterprises Ltd.
*PLEASE NOTE: Posts are not checked for accuracy, and do not
represent the views of the Actuarial Outpost or its sponsors.
Page generated in 0.18759 seconds with 11 queries