🔥
Aug 19 (edited) • General Discussion 💬
đź“’ AI Terms Daily Dose: Bias
Term: Bias
Day: 8
Level: Fluency
Category: Ethics & Reliability
🪄 Simple Definition:
When an AI system gives unfair or skewed results because of problems in its data or design.
🌟 Expanded Definition:
Bias in AI happens when the training data or model design reflects existing imbalances, stereotypes, or errors. This can lead to systematic unfairness—like favoring one group over another or making inaccurate predictions in certain contexts. Bias can come from human assumptions in the data, sampling gaps, or even unintended consequences of optimization choices.
⚡ In Action:
A hiring AI trained mostly on resumes from men ends up favoring male candidates, even when female candidates have equal or better qualifications.
đź’ˇ AIS+ Pro Tip:
Bias can’t be completely eliminated, but it can be reduced. Use diverse training data, test across different groups, and apply fairness checks to minimize harm. Always ask: Who might this system fail?
🔍To find all posted terms, simply search for the phrase “Daily Dose” in the AIS+ community.
Get started with the AI Terms Daily Dose:
đź“Ł Complementary Series đź“Ł
đź“š AI Terms Everyone Should Know Series
Your complete guide to mastering AI vocabulary, from basics to advanced, with context and real-world examples by @Michael Wacht
7
1 comment
đź“’ AI Terms Daily Dose: Bias
skool.com/ai-automation-society
A community built to master no-code AI automations. Join to learn, discuss, and build the systems that will shape the future of work.
Leaderboard (30-day)
1
🔥
+2966
2
+1696
3
+1314
4
🔥
+1111
5
+1065
Powered by