Transparency

Transparency in AI is not only about explainability, but also about ensuring that people comprehend what your AI System does and how it does it.

Although it is essential to understand how particular feature inputs contribute to specific outputs, transparency involves much more than that. Disclosure, for instance, is a crucial aspect to consider.

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