Auditing or Audibility of AI Systems

Auditing is the process of making AI systems transparent and accountable, enabling the monitoring and assessment of their behavior.

Audibility is the ability of an AI system to undergo the evaluation of the system’s algorithms, data, and design processes against specific criteria.

All Terms

J

K

N

O

Q

U

V

W

X

Y

Z

1

A

2

B

3

C

4

D

5

E

6

F

7

G

8

H

9

I

12

L

13

M

16

P

18

R

19

S

20

T

E

A

A

A

A

A

AI Risk Management

A

R

A

Governance Artifact

G

Artificial Intelligence

A

Artificial General Intelligence

A

A

A

Autonomous System

A

A

Auditing or Audibility of AI Systems

A

Credo AI Audit Trail

C

A

Bias (Social vs. Statistical):

B

Conversational AI

C

Conformity Assessment

C

D

E

E

F

Foundational Model

F

General-purpose AI (GPAI)

G

Generative AI or genAI

G

H

Human-Centered Design

H

Human-in-the-loop

H

Human-on-the-loop

H

Impact Assessment

I

I

Interpretability

I

L

Machine Learning

M

M

Multi-Stakeholder Collaboration

M

P

Credo AI Policy Center

C

Credo AI Policy Pack

C

P

Programmatic RAI Assessments

P

R

Responsible AI License

R

A

R

Rulemaking Process

R

S

Social-technical Systems

S

S

Technical Evidence

T

T

Transparency Report

T

T

A

Project Failure Rate

P

Project Rejection Stage

P

Sunk Project Cost

S

B

Compliance Risk

C

T

AI GRC Project Rejection Rate

A

Transformative AI (TAI)

T