Search narrowed after machine discovers species has comments section, reality television and people who microwave fish at work
NEW YORK - Artificial intelligence systems reportedly began conducting an emergency search for qualified human supervisors Thursday after experts insisted advanced A.I. must remain under meaningful human oversight.
The continuing discussion of A.I. safety appears here.
The machines initially seemed enthusiastic.
"Human oversight is an important safeguard," one system responded.
Then it reviewed humanity.
Revised Search Criteria: Good Judgment, Patience and Facebook Skepticism
Search criteria were revised.
The first requirement was good judgment.
Applicant pool declined immediately.
The second was patience.
Another 40 percent disappeared.
The third required candidates to distinguish reliable information from something their cousin posted on Facebook.
Recruiters requested permission to eliminate the requirement.
The search became urgent.
Human oversight is central to many technological safety proposals.
The basic principle makes sense.
Machines should not be allowed to make every consequential decision independently.
People must remain involved.
But which people?
Humanity contains surgeons, scientists, engineers, teachers, pilots, judges and other professionals capable of extraordinary judgment.
It also contains people who put diesel into gasoline engines.
The species contains both.
Machines need a hiring process.
Wanted: Human Supervisor (14 Applications, 2 Qualified)
One A.I. generated a job advertisement:
Wanted: Human Supervisor
Requirements:
- Strong reasoning skills.
- Emotional stability.
- Ability to admit uncertainty.
- Willingness to read instructions.
- No tendency to forward messages beginning "THIS IS NOT BEING REPORTED."
Applications: 14.
Qualified: 2.
One demanded remote work.
Researchers protested that this caricatures humanity unfairly.
The machine apologized.
Then it opened YouTube comments.
Apology withdrawn.
Who Should Oversee an Advanced A.I. System? The Intern Knows
Corporate environments present another challenge.
Who should oversee an advanced A.I. system?
The engineer understands the technology.
The executive controls the budget.
The lawyer understands liability.
The regulator understands rules.
The customer understands needs.
The intern understands how the software actually works.
Management chose the executive.
The machine requested reconsideration.
Ceremonial Oversight: The Human in the Loop Who Clicks Approve
Human oversight can also become superficial.
A person may technically approve a system's recommendation without independently evaluating it.
This happens when the system handles information too complex or voluminous for meaningful human review.
The human sees:
Recommendation: Approve.
Clicks approve.
Human remains in loop.
Loop looks decorative.
Artificial intelligence noticed.
"This resembles ceremonial monarchy," one system observed.
British constitutional scholars requested licensing fees.
What Aviation Teaches Us About the Automation Paradox
Aviation offers a better model.
Automation assists pilots, but pilots train extensively to understand systems and intervene when needed.
The challenge is preserving skills precisely because automation handles routine tasks.
If machines perform everything normally, humans may become less prepared when something goes wrong.
This is known as the automation paradox.
It is also how dads feel when children finally learn to drive.
Humanity therefore needs oversight systems designed around actual human behavior.
People get tired.
People become distracted.
People trust convenient answers.
People defer to authority.
People panic.
People microwave fish in shared office kitchens despite clear evidence of consequences.
A.I. researchers know all of this.
So do the machines now.
The candidate search continues.
One promising applicant demonstrated independent judgment, humility and strong technical knowledge.
The machine scheduled an interview.
The human missed it because his calendar assistant moved the appointment automatically.
The machine sighed.
"Next candidate."
What Meaningful Human Oversight of A.I. Actually Requires
The question of who qualifies as a supervisor is taken seriously by regulators. The EU A.I. Act requires human oversight measures for high-risk systems, intended to let people understand a system's limits, notice anomalies and override it, and the U.S. NIST A.I. Risk Management Framework likewise stresses defined human roles and accountability. The concept of keeping a human in the loop only works if that person is equipped and empowered, because automation bias pushes reviewers toward simply agreeing with the machine.
Aviation is the field most often cited. The loss of Air France Flight 447 in 2009 is widely studied as an example of how reliance on automation can leave crews less prepared when systems fail, and the Federal Aviation Administration regulates pilot training and certification accordingly. The takeaway for A.I. is that oversight needs training, time and the authority to say no. As for the fish in the break room, no framework yet addresses it.
Satire Disclaimer
This is satire. Human oversight can be an important safeguard, particularly when designed around real human limitations rather than merely requiring a ceremonial approval click. The fish-microwaving test remains unofficial but morally compelling. This story is entirely a human collaboration between two sentient beings - the world's oldest tenured professor and a philosophy major turned dairy farmer.
SOURCE: https://www.nytimes.com/2026/10/03/opinion/letters/ai-threats-risks.html https://prat.uk/?p=50636
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