KI-Governance

Glossar

• AI Governance
• AI Lifecycle

Software

IBM

• IBM AI Governance Solution build on IBM Cloud Pak® for Data platform
• https://www.ibm.com/products/cloud-pak-for-data/ai-governance
• "Automate governance to provide trustworthy, explainable AI"
• Components
  • Lifecylce governance: Catalog and monitor AI models with metadata capture, success identification and the ability to determine remediation initiatives.
  • Risk management: Automate, identify, monitor and report on facts and workflows at scale, mitigating bias and drift to manage AI risk.
  • Regulatory compliance: Translate external AI regulations into policies for automated enforcement. Use customizable dashboards to improve stakeholder collaboration.
• With this IBM solution, audits can become easier. You will be able to trace and

document the origin of data, the models and associated metadata, and the pipelines. The documentation will include the techniques that trained each model, the hyperparameters used, and the metrics from testing phases. You will benefit from having increased transparency into the model’s behavior throughout the lifecycle, knowledge of the data that was influential in its development, and the ability to determine possible risks.

AI Lifecycle

• building
• deploying
• monitoring
• centralizing facts for AI Explainability

AI Monitoring

for

• fairness
• quality
• drift

KI Markt

"The research firm IDC predicts the global AI market could reach over $500 billion by 2024—a more than 50% increase from 2021."

"50% of business leaders surveyed said meeting external regulatory and compliance obligations was the most important aspect of explainable AI."

"Most leaders haven’t yet taken the key steps toward establishing an AI governance framework. 74% are not reducing unintended bias."