AI Academy
Watch this episode (9:38)
Man and a woman in waist up shot looking forward
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, explore issues like AI hallucination, bias and risk, and learn how applying AI ethics and governance builds trust. Then put theory into practice with our guidebook.

AI Academy home
Watch (9:38)
What you’ll learn
  • How to gain trust and transparency in AI
  • Understanding and managing AI hallucinations
  • Applying AI governance at your organization
AI is not a race, it’s a journey. We need to take care, slow down, put in guardrails and the right checks and mitigations so that we have an AI system we’re happy with that is actually operating safely. Kush Varshney Distinguished Research Scientist & Senior Manager IBM Research
Illustration of AI governance
Download the guidebook
How to take action

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.

More Track 2 episodes
Coming soon Select the right AI use case for your business To optimize your total cost of ownership and ROI on AI, picking the right use case is crucial. Learn top considerations and how existing investments like gen AI, AI and machine learning play a role. Notify me when available
Track 2 Is data management the secret to generative AI? Every conversation starts with generative AI, but ends with data. Why? Because there is no AI without data. Generative AI is changing the way we think about data.  Go to episode page
Track 2 Why foundation models are a paradigm shift for AI Learn about a new class of flexible, reusable AI models that can unlock new revenue, reduce costs and increase productivity. Then use our guidebook to dive deeper. Go to episode page
Track 1: Strategic essentials
Choose the right AI model for your use case

Bigger isn’t always better when it comes to AI models. Learn how to find the right fit for your business needs. Then get the guidebook to help you take action.

 The rise of generative AI for business

Learn about the history of generative AI and what it means to the modern enterprise.

 Become a value creator with generative AI

Hear the different approaches to applying generative AI—and how an AI platform that’s targeted for your use cases can jumpstart business value.

Track 3: Putting AI to work
Putting AI to work for talent

Want to turn HR challenges into opportunities? Find out how organizations are using AI to help recruit and develop the talent that fits their business needs.


 Putting AI to work for marketing

Learn how businesses are using generative AI to help them advance their marketing efforts as customer expectations constantly continue to evolve.


 Putting AI to work for customer service

Go beyond virtual chatbots. Learn how generative AI can delight customers and increase productivity. Then download our guidebook to help you take action.

Putting AI to work for application modernization

Business operations evolve over time, and the applications that power them have to keep up. See how generative AI can accelerate the process, and download the guidebook to help you get started.

Receive AI Academy updates

We hope you're enjoying the AI Academy experience so far. Stay connected with us by signing up for email updates on new AI Academy content and timely AI for business news.

 Stay connected with AI Academy
AI for business resources Access IBM series and videos Learn about tech topics and trends Scale AI for business Explore watsonx Accelerate AI for business adoption Request an AI strategy briefing