ai:shadow_ai

Artificial Intelligence

Shadow AI

What is Shadow AI?

Shadow AI refers to the use of artificial intelligence technologies and tools that are implemented outside the official IT governance and control of an organization. This can occur when employees or teams adopt AI solutions without the approval or oversight of the IT department, often using publicly available AI tools or proprietary software to perform tasks.

Key points about Shadow AI include:

  • Decentralization: Employees may use AI tools that they find most effective, leading to a decentralized approach to technology adoption.
  • Risks: The use of unapproved AI tools can introduce security vulnerabilities, data privacy issues, and compliance risks for the organization.
  • Innovation vs. Control: While Shadow AI can foster innovation and speed up processes, it often operates outside the established protocols, creating challenges for IT governance.
  • Monitoring: Organizations are increasingly looking for ways to detect and manage Shadow AI practices to ensure that AI use aligns with company policies and security standards.
  • Collaboration and Communication: It’s essential for organizations to improve communication between IT departments and employees to mitigate risks while still enabling innovative uses of AI technologies.

Understanding Shadow AI is important for maintaining a balance between innovation and governance in the adoption of AI solutions within organizations.

External links:

Search this topic on ...

  • ai/shadow_ai.txt
  • Last modified: 2025/02/02 10:33
  • by Henrik Yllemo