AI Bias in the Workplace
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AI Bias in the Workplace:
Executive Briefing · Workplace AI
AI Bias in the Workplace:
What Leaders Miss and How to Respond
“AI does not remove responsibility; it redistributes it.”
Section 01
The Risk
DATA
BIAS
Flawed data,
bad decisions
SAMPLING
BIAS
Missing groups
distort outcomes
CONFIRM-
ATION
Reinforces
assumptions
AVAIL-
ABILITY
Trusted too
quickly
Section 02
Why It Matters
Poor hiring and evaluation decisions that disadvantage qualified candidates
Reduced trust in leadership when AI-driven choices go unexplained
Legal and reputational exposure from unvetted automated outcomes
Non-Negotiable Rule
“If an AI-assisted decision impacts a person, it must be independently verified using a credible source and clearly explained before action is taken.”
Section 03
What Effective Organizations Do
1
Treat AI as input, not authority
2
Require evidence, not assumptions
3
Evaluate patterns over time, not isolated incidents
4
Train employees to question outputs systematically
Section 04
Built-In Safeguard
Pause and review when:
◆
A decision directly affects a person’s role, compensation, or opportunity
◆
The output seems unusually confident or definitive
◆
The result lacks clear, traceable evidentiary support
Consulting by Henry M. Suazo 