5.2.1 Challenges in Centralized AI Systems

5.2.1 Challenges in Centralized AI Systems

Single Points of Failure

• Risks Associated with Centralized Servers:

  • System Downtime: Centralized servers are vulnerable to outages due to hardware failures, cyber-attacks, or maintenance issues.

  • Scalability Limits: Central servers may struggle to handle increasing data loads and user demands, leading to performance bottlenecks.

Bias and Limited Transparency

• Lack of Insight into AI Decision Processes:

  • Opaque Algorithms: Proprietary AI models often operate as "black boxes," making it difficult to understand how decisions are made.

  • Algorithmic Bias: Centralized AI can inadvertently perpetuate biases present in training data, leading to unfair or skewed outcomes.

Data Privacy Concerns

• User Data Vulnerability:

  • Data Breaches: Centralized databases are attractive targets for hackers seeking to steal sensitive user information.

  • Unauthorized Access: Insufficient access controls can lead to data misuse by internal or external parties.