Explain like I'm five · AI Theory

What is AI Ethics & Governance?

AI ethics and governance, told as a story about a shared grading charter that every inspection station follows — principles and accountability together.

anything passesstation #1's rulenothing passesstation #2's rulechanges day to daystation #3's ruleevery station grades by its own rule

Every station grades by its own rule.The same produce passes at one station and fails at another.

why did only my produce fail?I can't explain it either…without a written standard, nobody can explain why a grade came out the way it did

Without a written grading standard, nobody can explain why a grade came out as it did.Who answers for a wrong grade stays a mystery too.

SHARED GRADING CHARTERfairness — no bias by produce typeexplainability — record why a grade was givenaccountability — who answers for a bad call?human review — a path to appealAI ethics and governance = grading principles and accountability every station shares

AI ethics and governance is a shared charter every station follows — principles and accountability together.The charter isn't one sorter's private rule — it's the frame the whole station operates inside.

Keep it fairno bias by produce type
Make it explainablerecording why a grade was given
Fix accountabilitynaming who answers for a bad call
Allow human reviewopening a path to appeal
files an appealREVIEW PROCESS① check the recorded reason② a person looks again③ revise or confirm the gradethe inspector re-reviews

The charter spells out the appeal process in concrete steps.Review only works if the reason for the grade was recorded in the first place.

CHARTER — ON THE WALLno bias by produce typefollow the charter and grades stay consistentgraded without even looking at the charterLLM security views AI governance through security ops; this page, through ethics and compliance

Having a charter doesn't help if the station doesn't follow it.On AI governance, this page takes the ethics/compliance angle; the LLM-security field's page takes the security-ops angle.

In one breath

AI ethics & governance = a shared grading charter spelling out fairness, explainability, and accountability for every station.

AI ethics and governance is the policy and normative framework ensuring fairness, transparency (explainability), accountability, and a right to human review throughout how an organization builds and operates AI. It connects to the OECD AI Principles, the EU AI Act, and the trust requirements of Korea's AI Basic Act. Unlike security-operations governance focused on incident response, this is the wider frame of social acceptability, regulatory compliance, and stakeholder trust.

When grown-ups say it

AI ethics standard
The shared grading charter. Every station follows it together.
AI governance (security angle)
The LLM-security field's rules board. The operations/security-focused angle lives here. → The Kitchen Rules Board
Explainability (XAI)
Recording the reason behind a grade. A grade with no recorded reason can't even be appealed.
Fairness
Not discriminating by produce type. Bias can creep in as early as the seed stage. → A Sorter Trained on Rotten Seed
AI risk management framework
The working map that turns principles into real procedure. How the charter gets carried out, in a page of its own. → The Operations Map That Walks the Whole Station
AI Basic Act
The minimum grading rule the country itself sets. High-impact AI gets stricter legal treatment. → The Minimum Grading Rule the Country Itself Sets
Human review
The farmer's path to appeal. One of the four things the charter guarantees.
Stakeholder trust
Farmers, customers, and the country all trusting the station. What the ethics standard is ultimately protecting.
Next story
The Fake Dot Pattern Snuck Onto the Produce →
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