The relationship between journalism and AI has been off to an antagonistic start, with multiple court cases underway and plenty of discourse about what should happen next. There are various proposed approaches to setting up a better interplay between the two, but one person with an especially unique idea is Professor Jeff Jarvis, who joins the podcast this week to discuss the concept of an API for news that would help journalists embrace AI in a positive way.
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The relationship between journalism and AI has been off to an antagonistic start, with multiple court cases underway and plenty of discourse about what should happen next. There are various proposed approaches to setting up a better interplay between the two, but one person with an especially unique idea is Professor Jeff Jarvis, who joins the podcast this week to discuss the concept of an API for news that would help journalists embrace AI in a positive way.
As we've been thinking and writing about the intersection of democracy and technology, especially burgeoning AI technology, we always come back to the core issues of user control and user freedom. Recently, Chris Riley of the Data Transfer Initiative wrote an excellent piece for Tech Policy Press about the need for data portability in personal AI tools. This week, he joins the podcast to discuss why we need to control personal AI data so personal AI cannot control us.
Tech Policy Press article: https://www.techpolicy.press/we-need-to-control-personal-ai-data-so-personal-ai-cannot-control-us/
Techdirt
The relationship between journalism and AI has been off to an antagonistic start, with multiple court cases underway and plenty of discourse about what should happen next. There are various proposed approaches to setting up a better interplay between the two, but one person with an especially unique idea is Professor Jeff Jarvis, who joins the podcast this week to discuss the concept of an API for news that would help journalists embrace AI in a positive way.
