AI Policy

AI policy refers to rules, regulations, and guidelines designed by some form of governing authority (private or public) that govern the development, deployment, and use of AI technologies.

AI policy can include both statutory and regulatory requirements, guidelines, and frameworks that encompass a broad range of issues, including data privacy, explainability and transparency, responsibility and accountability, reliability, governability, bias mitigation, and social and economic impact.

All Terms

J

K

N

O

Q

U

V

W

X

Y

Z

1

A

A

A

A

A

A

AI Risk Management

A

A

Artificial Intelligence

A

Artificial General Intelligence

A

A

A

Autonomous System

A

A

Auditing or Audibility of AI Systems

A

A

A

A

AI GRC Project Rejection Rate

A

2

B

Bias (Social vs. Statistical):

B

B

3

C

Credo AI Audit Trail

C

Conversational AI

C

Conformity Assessment

C

Credo AI Policy Center

C

Credo AI Policy Pack

C

Compliance Risk

C

4

D

D

5

E

E

E

E

6

F

F

Foundational Model

F

7

G

Governance Artifact

G

General-purpose AI (GPAI)

G

Generative AI or genAI

G

8

H

H

Human-Centered Design

H

Human-in-the-loop

H

Human-on-the-loop

H

9

I

Impact Assessment

I

I

Interpretability

I

12

L

L

13

M

Machine Learning

M

M

Multi-Stakeholder Collaboration

M

16

P

P

P

Programmatic RAI Assessments

P

Project Failure Rate

P

Project Rejection Stage

P

18

R

R

R

Responsible AI License

R

R

Rulemaking Process

R

19

S

S

Social-technical Systems

S

S

Sunk Project Cost

S

20

T

Technical Evidence

T

T

Transparency Report

T

T

T

Transformative AI (TAI)

T