The Current Impact of Generative AI on Journalism and Beyond



  • Roose uses generative AI for brainstorming and research in journalism but finds it less effective for crafting newspaper columns.
  • Despite occasional inaccuracies, Roose values AI for idea generation and creative support, emphasizing the need for fact-checking.
  • Beyond journalism, Roose successfully incorporates AI into personal conversations, self-improvement, and as a conversational coach for challenging interactions.

Generative artificial intelligence (AI) tools have rapidly become integrated into various professional domains, transforming the way tasks are approached and executed. In a recent interview with The Atlantic, Kevin Roose, a tech columnist for The New York Times and host of the podcast Hard Fork, provided insights into his experiences using generative AI tools and how they are influencing his work in journalism and beyond.

Roose highlights that while generative AI, such as ChatGPT, has its limitations in producing high-quality newspaper columns, it excels in various other journalistic aspects. For instance, in brainstorming for podcast topics or preparing for interviews, Roose leverages AI to generate creative questions and gather information. The technology proves useful for research tasks, including summarizing white papers and extracting relevant empirical data, showcasing its proficiency in areas that do not demand pinpoint accuracy.

Navigating hallucinations and fact-checking

A persistent concern with generative AI is the potential for “hallucinations,” instances where the AI generates inaccurate or misleading information. Roose acknowledges this issue and emphasizes the importance of fact-checking when incorporating AI-generated content into journalistic pieces. Despite occasional discrepancies, he contends that the problem is not as severe as perceived and that, in many cases, the AI provides correct or near-correct information. The focus, Roose suggests, should be on the AI’s role in idea generation and creative support rather than as a definitive source of truth.

AI as a copilot in work and personal life

Roose draws attention to the dual functionality of generative AI, serving as both a professional assistant and a personal aide. In his work, the technology aids in summarizing complex documents and surfacing relevant information, making it a valuable copilot in the writing process. Beyond work, Roose experiments with AI as a conversational practice coach, using it to simulate challenging conversations and receive feedback. Additionally, he incorporates AI into personal goals, such as creating a custom chatbot to teach him Python coding.

Successful integration in personal conversations

Notably, Roose shares positive experiences using generative AI to prepare for challenging personal conversations. By simulating interactions and role-playing with AI, he gains insights into potential responses based on different personality types. While not an everyday practice, Roose finds this approach helpful, suggesting that AI can contribute to social interactions by offering perspectives on how individuals with varied personalities might respond.

The interview reveals Roose’s diverse applications of generative AI in his personal life, ranging from fitness planning and meal prepping to self-guided learning. He underscores the adaptability of AI as a tool for teaching himself new skills, such as coding in Python. This versatility positions AI not only as an information source but also as a tutor and guide for personal growth.

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Derrick Clinton

Written by Derrick Clinton

Derrick is a freelance writer with an interest in blockchain and cryptocurrency. He works mostly on crypto projects' problems and solutions, offering a market outlook for investments. He applies his analytical talents to theses.