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A Library 2.0 / Learning Revolution Webinar with Nicole Hennig

OVERVIEW: 

Developments in generative AI are happening very quickly! And it can be difficult to sort out truth from hype in media coverage.

In this session, we’ll look at examples of misleading news stories, statistics taken out of context, scientific studies with significant errors, expert predictions that were wrong, and disagreement among experts.

We’ll then look at some methods for sorting through it all to get a more balanced view. You can use these methods when teaching information literacy skills to others.

Finally, we’ll offer tips for finding reliable sources from diverse and global viewpoints and tips for managing information overload. We’ll include a list of reliable sources to follow, along with ideas for compiling your own list.

LEARNING AGENDA:

• News literacy: how to recognize both positive and negative hype.
• Examples of news stories that were wrong.
• Statistics in context: looking for meaningful comparisons.
• Why predictions often fail: limits of expert forecasts.
• Experts disagree: sorting well-known experts into categories.
• Methods for exploring context: Deep Background, Three Moves with Seven Tips, and The Hype Detector.
• Finding reliable sources: including global sources and diverse viewpoints.
• Managing information overload: practical tips and tools.
• Recommended best sources to follow.

This 60-minute online webinar is part of our AI Series. The recording and presentation slides will be available to all who register. 

This project was made possible in part by the Institute of Museum and Library Services through the Library Services and Technology Act, administered by the Maryland State Library Agency