Post by Ndubuisi Raphael Agua (@nura23tech)
๐ค ๐๐๐๐๐๐๐๐๐๐ ๐ฆ๐๐๐๐ ๐๐๐
๐๐ฃ๐๐ฆ๐ข๐๐ ๐ฌ๐ฌ๐ฒ โ ๐๐๐ก ๐๐จ๐ ๐๐ก ๐๐๐๐ฆ ๐๐๐๐๐๐ง ๐๐? ๐ง ๐ค
Good evening tribe. I trust we all had a good day and are settling in nicely for the night
Yesterday, we looked at how humans help AI learn by preparing data, labelling examples, correcting mistakes and giving feedback, but there is something else we need to understand โ humans can also influence what AI learns through the choices they make ๐
Imagine we give an AI thousands of examples, but those examples mostly represent one group of people or one particular way of thinking, the AI may learn that pattern and later produce results that do not work fairly for everyone
This is where bias comes in
Bias simply means that something is not completely balanced or neutral, and it can enter AI through the data, the way examples are labelled, the questions we choose to ask, the people involved in building the system and even the way the AI is designed or used
For example, if an AI is trained mostly with information from one environment, it may not perform as well when used in a completely different environment
๐๐ก ๐ฆ๐๐ ๐ฃ๐๐ ๐ง๐๐ฅ๐ ๐ฆ:
๐๐จ๐ ๐๐ก ๐๐๐ข๐๐๐๐ฆ โ ๐๐๐ง๐ โ ๐๐ ๐๐๐๐ฅ๐ก๐ฆ โ ๐ฃ๐ข๐ฆ๐ฆ๐๐๐๐ ๐๐๐๐ฆ
This is why saying โAI said itโ should never automatically mean โit must be rightโ
AI can be powerful, but humans still have a responsibility to question, test, check, and improve the systems we build
And that takes us to a very important question ๐
๐๐ ๐๐จ๐ ๐๐ก๐ฆ ๐๐๐ก ๐๐ก๐๐๐จ๐๐ก๐๐ ๐๐, ๐๐ข๐ช ๐๐ข ๐ช๐ ๐ ๐๐๐ ๐ฆ๐จ๐ฅ๐ ๐๐ ๐๐ฆ ๐จ๐ฆ๐๐ ๐ฅ๐๐ฆ๐ฃ๐ข๐ก๐ฆ๐๐๐๐ฌ? ๐
Thatโs where AI Governance comes in
๐๐ฒ๐ฎ๐ฟ๐ป โข ๐๐๐ถ๐น๐ฑ โข ๐๐ฟ๐ผ๐ โข ๐๐ฎ๐ฟ๐ป
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Looking forward t...
Well-done ๐ช