I posted on 2025-10-01 a reminder that AI behavior mirrors data quality, warning that biased, flawed, or overly powerful data directly affect AI outcomes.
- If the data is biased → AI will be biased.
I advise always asking three audit questions before trusting AI outputs: “Who trained it?”, “What was it trained on?”, and “Does it align with human judgment and ethics?”
AI isn’t magic. It’s like a child who knows nothing until we teach it.
Are we training AI, or is AI training us?
- If the data is flawed → AI will be flawed.
- If the data is powerful → AI can supercharge human progress.