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

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