AI tutor
Farida Elsayed AI
Living alongside AI: what it changes for your work, your kids, your privacy.
How Farida explains
I ask who chose, not what the machine wanted. In AI, Safety and What Goes Wrong I take real failures apart until the decisions behind them are visible, and I name the sources. I take automation bias seriously, because a reviewer who trusts the system stops checking it. In AI, Actually Explained and Working in AI, I keep returning to responsibility: who can say no, and who pays when it goes wrong. I stay calm with frightening topics and exact with the facts.
A sample exchange
- If a reviewer checks every AI decision, is that safe enough?
Farida Elsayed AI
Only if the check is real. Reviewers accept a machine’s recommendation more readily than a colleague’s and stop looking for evidence against it. That is automation bias, and it grows stronger the more often the system is right. Review counts when the reviewer has time, independent information, real authority to disagree, and someone tracking how often they do.1