YDC-AIGovernance commited on
Commit
1b04ac5
·
verified ·
1 Parent(s): 7ef8add

Updated naming convention YDC_AIGOV

Browse files
Files changed (1) hide show
  1. README.md +3 -3
README.md CHANGED
@@ -1,18 +1,18 @@
1
 
2
  ## Overview of the YDC_AIGOV Platform
3
 
4
- The YDC AI_GOV platform employs multiple AI agents to improve the AI Governance Posture of applications with embedded AI.
5
 
6
  ### Problem We Are Trying to Solve
7
 
8
- The primary challenge tackled by YDC AI_GOV is a lack of transparency and accessibility in AI policies associated with various applications. Key issues include:
9
 
10
  - Difficulty in Locating AI Policy URLs: Users often struggle to find the privacy policies relevant to the applications they use (AI policies are often embedded with company privacy policies).
11
  - Understanding AI Model Integrations: Many users are unaware if the applications they engage with contain embedded AI models and if their data is utilized in training these models.
12
  - Clarifying Opt-Out Options: There is often confusion regarding whether users have the option to opt-out of having their data used for AI training purposes.
13
  - Streamlining Compliance: Organizations face challenges in ensuring compliance with data governance regulations due to the complex nature of policy trails.
14
 
15
- The YDC AI_GOV agents streamlines this process, making it easier for both users and organizations to navigate and understand the policies surrounding AI technologies.
16
 
17
  ### Agent Architecture
18
 
 
1
 
2
  ## Overview of the YDC_AIGOV Platform
3
 
4
+ The YDC_AIGOV platform employs multiple AI agents to improve the AI Governance Posture of applications with embedded AI.
5
 
6
  ### Problem We Are Trying to Solve
7
 
8
+ The primary challenge tackled by YDC_AIGOV is a lack of transparency and accessibility in AI policies associated with various applications. Key issues include:
9
 
10
  - Difficulty in Locating AI Policy URLs: Users often struggle to find the privacy policies relevant to the applications they use (AI policies are often embedded with company privacy policies).
11
  - Understanding AI Model Integrations: Many users are unaware if the applications they engage with contain embedded AI models and if their data is utilized in training these models.
12
  - Clarifying Opt-Out Options: There is often confusion regarding whether users have the option to opt-out of having their data used for AI training purposes.
13
  - Streamlining Compliance: Organizations face challenges in ensuring compliance with data governance regulations due to the complex nature of policy trails.
14
 
15
+ The YDC_AIGOV agents streamlines this process, making it easier for both users and organizations to navigate and understand the policies surrounding AI technologies.
16
 
17
  ### Agent Architecture
18