<![CDATA[AImpactful]]> https://rss.com/podcasts/aimpactful AImpactful is a podcast about artificial intelligence in journalism and media.

Hosted by Branislava Lovre, a journalist, editor and AI ethics specialist, the podcast features conversations with journalists, researchers, editors, media leaders and people developing or using AI in their work.

The focus is on what actually happens when AI enters a newsroom. How are editorial decisions changing? Which tools are genuinely useful? What new risks are appearing? How should newsrooms deal with accuracy, privacy, transparency, copyright, synthetic media and audience trust?

Guests share their work, experiences, concerns and practical lessons. Some episodes look at newsroom workflows and audience needs, while others focus on verification, AI governance, ethics, training and the decisions media organisations need to make before adopting new tools.

AImpactful is produced by an independent organisation working on responsible and practical AI use in journalism. The podcast is interested in real examples, honest discussion and the questions that do not have simple answers.

]]> RSS.com 2026.721.95756 Thu, 06 Aug 2026 15:49:19 GMT en 79fffb9a-a5e3-598b-be46-d8075becfcf1 https://media.rss.com/aimpactful/podcast_cover_20260806_131040_3bf1ef2a96b9b55653bdc0916482d039.png AImpactful https://rss.com/podcasts/aimpactful no AImpactful AImpactful AImpactful false episodic 581ae290-91ae-11f1-a9cf-11fb065030fa podcast false <![CDATA[AI Can Help You Understand Your Audience. Here’s How ]]> Clicks are easy to count. What people actually need is much harder to see.

A story can perform well and still leave a newsroom guessing. Did people find it useful? What were they trying to understand? Why did they stay, leave or ignore it altogether?

Khalil helps newsrooms answer those questions. His work brings together audience development, user needs and AI, with one aim: helping journalism understand the people it is supposed to serve.

In this AImpactful conversation, Branislava Lovre speaks with Khalil A. Cassimally about what audience connection looks like beyond reach and engagement figures.

They discuss the User Needs Model and what changes when a newsroom stops asking only what it wants to publish and starts asking what people need from it. Khalil explains how that shift can bring more clarity to editorial decisions and help teams create journalism that people find genuinely valuable.

Quantitative data can show what people did. Qualitative research can help explain why. Khalil discusses how AI can help newsrooms analyse interviews, responses and other complex material, and identify patterns that might otherwise be missed.

The conversation also looks at synthetic personas. Khalil explains where they can help teams test ideas and question assumptions, but also why they should support research with real people, never replace it.

Branislava and Khalil then turn to the growing number of AI tools available to newsrooms. Khalil’s advice is simple: start with the problem you need to solve, then choose the tool. He also shares how he uses AskRally, ChatGPT, Julius.ai, n8n and Granola in his own work.

What we explore:

What audience connection means beyond clicks and reach

How the User Needs Model changes newsroom decision-making

How AI can help analyse qualitative audience research

The difference between audience behaviour and audience motivation

What synthetic personas are and how newsrooms can use them

Why synthetic personas cannot replace conversations with real people

The risks of stereotypes, incomplete data and false confidence

How to choose an AI tool by starting with the problem

Tools for research, data analysis, automation and note-taking

Why better technology does not remove the need to listen

]]> https://rss.com/podcasts/aimpactful/3051218 ead227a2-4aca-4bd7-bc17-ca78ce1444f4 1450 full 1 1 26 26 Thu, 06 Aug 2026 13:39:42 GMT false false