AI Journalism: Trust, Funding, and the Future
Michelle explores the adoption of AI in journalism, focusing on trust issues and the need for regulation. The episode addresses biases and risks associated with AI-generated content and examines audience reactions to the increase in AI-written news. The discussion highlights funding initiatives for AI journalism by Scripps Howard, Arizona State, and the University of Maryland, emphasizing the importance of financial support in advancing the field. Educational efforts are also spotlighted, with a look at the Cronkite School's new initiatives in AI journalism. The episode concludes with a reflection on the future of AI in journalism, considering both challenges and opportunities.
Key Points
- AI-generated content now makes up 30 percent of online material, raising concerns about trust and transparency in journalism.
- Biases in AI algorithms pose significant challenges for verifying information, impacting the trustworthiness of news.
- The Scripps Howard Foundation has awarded two million dollars to Arizona State University and the University of Maryland to enhance AI capabilities in investigative journalism.
Chapters
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Transcript
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