NewsPronto

 
Men's Weekly

.

USA Conversation

The Conversation USA

The Conversation USA

AI algorithms intended to root out welfare fraud often end up punishing the poor instead

  • Written by Michele Gilman, Venable Professor of Law, University of Baltimore
Automated algorithms – not humans – are increasingly making decisions about who's eligible for welfare benefits.gorodenkoff/Getty Images

President Donald Trump recently suggested there is “tremendous fraud” in government welfare programs.

Although there’s very little evidence to back up his claim, he’s...

Read more: AI algorithms intended to root out welfare fraud often end up punishing the poor instead

More Articles ...

  1. Incomplete and inadequate: Information lacking for seniors looking for assisted living
  2. Well, impeachment didn't work – how else can Congress keep President Trump in check?
  3. Historic Iwo Jima footage shows individual Marines amid the larger battle
  4. America’s postwar fling with romance comics
  5. Minority patients benefit from having minority doctors, but that's a hard match to make
  6. Restoring the reputations of charities after scandals
  7. Transgender Americans are more likely to be unemployed and poor
  8. How to convince your loved ones to get the flu shot this year
  9. How did I get my own unique set of fingerprints?
  10. The power of a song in a strange land
  11. On the 100th anniversary of the Negro Leagues, a look back at what was lost
  12. Galentine's Day has become a thing – why hasn't Malentine's Day?
  13. The secondhand smoke you're breathing may have come from another state
  14. When presidential campaigns end, what happens to the leftover money?
  15. Why so many architects are angered by 'Making Federal Buildings Beautiful Again'
  16. Schools should heed calls to do lockdown drills without traumatizing kids instead of abolishing them
  17. Hackers could shut down satellites – or turn them into weapons
  18. Candidates say they want to build momentum with voters – but what is that actually worth?
  19. A 4-step maintenance plan to help keep your relationship going strong
  20. How the T-Mobile-Sprint merger will increase inequality
  21. How China does Valentine's Day
  22. Climate change impacts in Bangladesh show how geography, wealth and culture affect vulnerability
  23. Women in Arab countries find themselves torn between opportunity and tradition
  24. The silent threat of the coronavirus: America's dependence on Chinese pharmaceuticals
  25. 'Stolen' elections open wounds that may never heal
  26. Hundreds of county jails detained immigrants for ICE
  27. Why sequencing the human genome failed to produce big breakthroughs in disease
  28. The opioid crisis is a big issue in New Hampshire – 5 questions answered on what voters want the candidates to do
  29. The history of 'coming out,' from secret gay code to popular political protest
  30. A college president's advice to college students of the future: Don't borrow
  31. Lynching preachers: How black pastors resisted Jim Crow and white pastors incited racial violence
  32. How a Native American coming-of-age ritual is making a comeback
  33. A Nazi drug's US resurgence: How meth is making a disturbing reappearance
  34. Potential gene therapy to combat cocaine addiction
  35. How Iran's millennials are grappling with crippling U.S. sanctions
  36. 3 ways coronavirus will affect the US economy – and 1 silver lining
  37. How Iran's millennials are grappling with crippling US sanctions
  38. 3 standout quotes from the New Hampshire Democratic debate, explained
  39. Why people post 'couple photos' as their social media profile pictures
  40. Real pay data show Trump's 'blue collar boom' is more of a bust for US workers, in 3 charts
  41. Research in China is complicated by the Communist Party's influence, says researcher who worked there
  42. As China suffers from coronavirus, some wonder: Is it really that serious? 3 questions answered
  43. National Prayer Breakfast was a moment for leaders to show humility – Trump changed it
  44. Employment gaps cause career trouble, especially for former stay-at-home parents
  45. AI could constantly scan the internet for data privacy violations, a quicker, easier way to enforce compliance
  46. 'Sea-level rise won't affect my house' – even flood maps don't sway Florida coastal residents
  47. The Philippines has rated 'Golden Rice' safe, but farmers might not plant it
  48. The dystopian experience of skiing in New Jersey's new American Dream mall
  49. How Trump's proposed benefits changes will create hardship for rural people with disabilities
  50. Democratic plans for raising taxes on the rich: A guide for the middle class