AI Governance 101: Accountability by Design
As AI and Machine Learning (ML) technologies become increasingly pervasive in our daily lives, ensuring accountability and transparency in their development and deployment is more crucial than ever. This is where AI governance comes in – a set of principles, policies, and practices that guide the creation, deployment, and maintenance of AI systems.
Accountability by Design: A Key Principle
One of the core principles of AI governance is accountability by design. This means that from the outset, AI systems should be designed with accountability in mind, incorporating mechanisms that promote transparency, explainability, and auditability. By doing so, organizations can mitigate risks associated with AI, such as bias, inaccuracies, and unintended consequences.
Benefits of Accountability by Design
Implementing accountability by design offers several benefits, including:
- Improved trust: When AI systems are transparen...
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