AI Academy | IBM | AI Governance

Trust, transparency and governance in AI

Generative AI is a powerful creative tool. Ask it to generate anything as text or media, and it appears. But for serious work in enterprises, how do you know what it creates is trustworthy?

In this episode of AI Academy, we’ll explore how businesses can adopt AI in a safe, responsible, and ethical way. This means addressing issues like AI hallucination, bias and risk, and understanding the importance of applying ethics and governance to build trust. Then put theory into practice with our guidebook.

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Meet the faculty

What you’ll learn

How to gain trust and transparency in AI
Understanding and managing AI hallucinations
Applying AI governance at your organization

We need to put in guardrails and the right checks and mitigations so that we have an AI system we’re happy with. Kush Varshney

Distinguished Research Scientist & Senior Manager

IBM Research

Get the guidebook

AI governance for the enterprise

From explaining how to set up responsible AI workflows with AI governance, to outlining the overall process of AI activities in an organization, use this guidebook to help ensure that your organization’s AI initiatives lead to trusted outcomes and explainable results.

Download the guidebook

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