Generative AI refers to algorithms that can generate new content. This includes text, audio, images, & even videos, based on the input data they receive. For journalism, this means creating articles, summaries, or reports without direct human input. As described by the
Reuters Institute for the Study of Journalism, AI-driven innovation is urgently becoming a priority for news organizations as they adapt to evolving media dynamics.
Efficiency & speed are crucial elements in the modern news cycle, & generative AI excels in these areas. By automating mundane tasks, journalists are freed up to focus on more in-depth investigative work. The
Reuters Institute notes that AI tools can process & generate reportable content faster than human journalists, who often face numerous time constraints.
As generative AI becomes more prevalent, journalists will need to adapt & develop new skills to effectively work alongside these tools. A report from
Columbia Journalism School indicates that many journalists will need training to understand how these tools can be harnessed for efficient news production. This involves not just utilizing AI but also developing the critical thinking skills necessary to interrogate AI-generated content.