Empowering Equality: Fight Against AI Gender Bias (Women’s Day Edition)

Harshit Maheshwari
3 min readMar 9, 2024

Photo by Christina @ wocintechchat.com on Unsplash

Artificial Intelligence is like a super-smart robot that’s learning from everything around it. But sometimes, it picks up on the unfair stuff too, like when it treats women differently than men. This isn’t good, and everyone’s starting to notice. We’re going to talk about what’s going on and how we can make it better.

The Problem with AI

Imagine playing a video game where the rules are different for you just because of your gender. That wouldn’t be fair, right? Well, some AI systems are doing something similar without meaning to. Here are a couple of real-world examples:

  • Job Hunting: A big company once had an AI system to help pick the best job applicants. But it learned from old resumes that had more men’s names than women’s. So, it started thinking men were usually the better pick, which isn’t fair or true.
  • Health Advice: Doctors sometimes use AI to help figure out what might be making someone sick. But if the AI learned mostly from men’s health data, it might not be as good at spotting problems unique to women. That means some women might not get the help they need when they need it.

People are working hard to spot these problems. They’re like detectives, checking if AI is being fair to everyone. When they find something wrong, they tell everyone about it. This helps the people who make AI to fix things. You can learn more about this from groups like AI Now Institute or by reading studies from MIT.

So How We Can Make AI Better ?

Fixing AI so it’s fair to everyone isn’t easy, but there are lots of smart people working on it. Here are some things they’re doing:

  1. Using Better Data: They’re making sure the AI learns from information that includes everyone, both men and women, from all kinds of backgrounds.
  2. Checking the AI’s Work: Just like teachers check your homework, people are reviewing what AI decides to make sure it’s not being unfair. This way, if AI makes a mistake, it can be corrected.
  3. Getting More People Involved: Having more women and people from different places working on AI can help make sure it understands everyone better.

What This Means for the Future

By fixing these problems, we’re making sure that AI is a tool that helps everyone, no matter who they are. It’s like making sure the playing field is level so everyone has a fair chance. And while there’s still a lot of work to do, things are getting better because people care and are working hard to make technology fair for everyone.

Looking Ahead

By tackling these problems, we’re making sure AI will be a helpful tool for everyone, not just some people. There’s a lot of work left to do, but things are moving in the right direction because people care about making technology that’s fair for everyone.

How You Can Help

Even if you’re not a tech expert, you can still make a difference. Just learning about these issues and talking about them is a big help. The more people know, the more we can all make sure technology treats everyone fairly.

Here are a few links to learn more about AI bias

1. Resources on diverse data sets and how AI is checked for fairness: https://towardsdatascience.com/survey-d4f168791e57

2. Articles from the IEEE: https://www.ieee.org/

3. Stories of women in AI who are making a difference: https://groups.google.com/g/women-in-machine-learning

4. Educational resources for young readers interested in AI and ethics : https://code.org/ ; https://www.khanacademy.org/computing/computer-programming

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Harshit Maheshwari
Harshit Maheshwari

Written by Harshit Maheshwari

Cultivating AI insights for over 5 years, I'm on a mission to demystify the machine learning landscape, one Medium article at a time.

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