CORRECTING UNFAIRNESS AND BIAS IN MACHINE LEARNING

You've seen the news stories about a husband getting a much higher credit limit than his wife. A medical diagnostic test working better for some people than others. Certain people being approved for loans at a higher rate than others.

It can be tempting to say that humans are inherently biased, but that machine learning solves these types of problems. It's just a computer, which is unbiased, looking at our factual data... right?

Well, no.

Unfairness can creep into our data in a variety of ways, and a machine learning model can often make the problem worse, not better!

Fairness in machine learning is an important topic to understand. This topic is only getting more important as we integrate machine learning more into our world, and as we understand the impact these models are having on our day-to-day lives.

So, what are we to do? Well, we need to identify when unfairness happens, then understand how we can correct it.

Subscribe to ai.science on YouTube for more Data Science content: https://m.youtube.com/channel/UCfk3pS8cCPxOgoleriIufyg

• 
  Sponsored

  WBUR Earth Week Events

  Tuesday, Apr 23, 2024 goes until 04/26

  WBUR CitySpace at The Lavine Broadcast Center
• 
  Sponsored

  Affordable Spanish Classes in Boston (in-person and online courses) | BASE

  Monday, May 06, 2024 goes until 05/25

  Boston Area Spanish Exchange (BASE)

Sesh by The Boston Calendar | Advertise Terms | Privacy Policy | About