Why human oversight matters in agentic AI?

Agentic AI systems are designed to perform the tasks autonomously, make decisions, and manage workflow with minimum human interaction. Agentic AI development creates better teamwork among humans and AI. If sometimes AI can make wrong decisions or misunderstand situations, human oversight helps to prevent problems, reduce risks and improves trust in AI systems. And both human intelligence and AI generate optimized and more reliable results. It is still essential to guide, control, safety, accuracy and ethical behavior

1 Answer

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My personal AI-Math Basics:

AXIOM #1:

NATURAL INTELLIGENCE =

NATURAL INTELLECT + NATURAL EMOTIONS =

BRAINS + HEART

AXIOM #2:

ARTIFICIAL INTELLECT FRAMEWORK => SINGLE NATURAL INTELLECT

AXIOM #3:
IF LIM(NATURAL INTELLECT) → 0

THEN

LIM(NATURAL INTELLECT * ARTIFICIAL INTELLECT) →
(- INFINITY) → GREAT PROBABILITY OF NEGATIVE RISK/ERRORS/NEGATIVE DEVELOPMENTS

AXIOM #4:
NATURAL EMOTIONS IS A FUZZY VARIABLE, RANGING FROM -1 TO +1, CORRESPONDING TO GRADES FROM VERY BAD TO VERY GOOD PERSON WITH REFERENCE TO EMPATHY.

IF (NATURAL INTELLECT > 0
AND
LIM(NATURAL EMOTIONS) → 1)

THEN

LIM ((NATURAL INTELLECT +NATURAL EMOTIONS) * ARTIFICIAL INTELLECT*) → (+INFINITY) → SYNERGY

CONSEQUENSE FROM AXIOMS #1 - 4:

ANY HUMAN WHO WORKS WITH AND/OR ESPECIALLY SUPERVISES ANY PART AND/OR A WHOLE COMPLEX CRITICAL AI-FRAMEWORK, SHALL UNDERGO A THOROUGH COURSE PATH WITH EXAMS ON EACH COURSE ON AI-(EVERYTHING+ETHICS) WITH GRADE POINTS AVERAGE OF AT LEAST “B”. FOR SENIOR- AND TOP-LEVEL EMPLOYEES/MANAGERS G.P.A. SHALL HAVE TO BE “A”.

REASONS FOR REQUIRED HIGH G.P.A.: ANY COMPLEX CRITICAL AI-FRAMEWORK MAY ALMOST INSTANTLY PRODUCE A CHERNOBYL-LIKE EFFECT, READ A CHAIN REACTION OF BIGGER AND BIGGER PROBLEMS, IF HANDLED/SUPERVISED POORLY/INADEQUATELY.