Quickly evolving artificial intelligence technology is emerging as a potentially powerful journalism tool, including for harnessing data in stories. But AI needs to be wielded carefully and correctly to get accurate, trustable results in storytelling.
Join Sandeep Junnarkar, Data Journalism Director at the Craig Newmark Graduate School of Journalism at CUNY, for a three-part training series on using AI to find and analyze data to help you produce strong, high-quality stories for your audience. Junnarkar will be joined by Jere Hester, director of the J-School’s Local Accountability Reporting program, at these trainings.
1️⃣ How to find and access relevant data
Thursday, Oct. 9 @ 2 pm – 3:30 pm ET
Learn how to locate relevant data sets. We’ll explore – employing real-life examples – how to mine NYC Open Data and other largely untapped sources of information.
2️⃣ Prompt writing and AI-powered data analysis
Thursday, Oct. 16 @ 2 pm – 3:30 pm ET
Learn to create effective AI prompts that, as Junnarkar puts it, allow you to “interrogate” the data, asking questions that yield information and insight key to your story.
3️⃣ How to verify data and avoid AI pitfalls
Thursday, Oct. 23 @ 2 pm – 3:30 pm ET
Discover how to validate your data projects and prevent AI “hallucinations” along with other risks tied to this fast-evolving technology.