A typical day in journalism isn’t what it used to be, even for the Associated Press (AP), a trusted news agency established 1846 now uses and endorses AI.
Consumers interested in a bank’s latest quarterly earnings search the internet for news, and one of their “hits” takes them to the AP’s website. This is because the AP published an article detailing the bank’s release of earnings data just minutes after it was made available, using an internal AI platform to compose the article.
Other newsrooms and media outlets have also begun publishing AI-generated content.
For example, the financial publisher Bloomberg currently uses Cyborg, which generates over 30% of its articles. The Associated Press claims that their reporters now have 20% more time for investigative work as AI tools prepare reports of corporate earnings.
While many readers of these and other publications welcome the additional content, others are concerned about the possibility that AI could replace the skills and intuition of traditional journalists.
Would The Washington Post’s Heliograf system have covered Watergate as well as Carl Bernstein and Bob Woodward? Will publishers eventually decide that there’s little market for investigative journalism?
This article (written by a traditional journalist, if you’re wondering) will take a close look at the history of journalism, the current relationship between AI and news reporting, and how the growing acceptance of a variety of AI tools and platforms is redefining journalism.
AI Versus Journalistic Tradition
The integration of AI-generated content into journalism shows a technological revolution and a philosophical reckoning for an industry built to serve the public’s need to know what was happening in their neighborhood, country, and the world.
For example, one of the first newspapers published in America was the Boston Newsletter. Its first issue appeared in 1704, and most of its content was from London-based newspapers. Local news consisted of maritime arrivals, a judge’s appointment details, and a sermon at Boston’s Old South Church.
Today, citizens of countries around the world have a variety of news delivery choices. In addition to traditional newspapers, local and national television stations, radio, and various internet sites deliver the latest news and weather reports.
The growing number of news outlets has also created competition for audiences, as most sell advertising space. A 30-second ad shown during a break in a national news program can cost up to $500,000.
As media organizations face increasing demands for 24/7 coverage, AI offers a growing toolkit of solutions. However, some editors and readers wonder if these solutions are suitable replacements for journalistic integrity and research.
The Early Days of AI
While early generational AI, like other beta versions of new tech systems, produced its share of inaccuracies, a few memorable ones, also known as hallucinations, appeared.
For example, Microsoft’s AI chatbot Sydney admitted to falling in love with users.
However, AI developers are continuously working to improve generative AI and its algorithms, which has increased accuracy while removing bias.
Consider the Washington Post’s Heliograf system, which generated hundreds of stories during its first year. While Heliograf turned structured data into stories, freeing up journalists’ time, staff writers focused on complex investigative work.
However, the rise of AI in journalism also raises ethical concerns.
Navigating Ethical Challenges With AI Detection
The recent proliferation of AI-generated misinformation and deepfake content has demonstrated the technology’s potential for abuse.
Another possible scenario is when a popular columnist decides to use AI to compose future articles without admitting this. AI tools such as Claude Sonnet can be trained to mimic different writing styles through its “Create & Edit Styles” command.
News organizations that rely on freelance journalists, aka stringers, may opt to use AI detection tools such as Undetectable.ai. “We’re seeing a huge uptick in people using our AI detector,” says Christian Perry, CEO of Undetectable AI.
But why are people using AI detectors? Perry says “People have concerns about the authenticity of content, and use AI detectors as a starting point to their inquiry.”
According to a recent article on ZDNet, the Undetectable AI detector scored 100% accuracy on the author’s tests.
AI’s Role in Investigative Journalism
While some assume that AI tools are only able to produce content, this underestimates the possibilities of AI. Machine learning algorithms analyze vast datasets, identifying patterns and connections that could take human journalists months to uncover.
For example, the International Consortium of Investigative Journalists (ICIJ) uses an AI-powered research tool called Datashare to search and analyze data within millions of documents. This enabled ICIJ investigators to work efficiently during investigations of the Panama Papers.
The ICIJ has shared details of its use of AI to help preserve its journalists’ credibility. Other media organizations have also taken this approach.
The Need for Transparency
Most news editors believe that readers deserve to know when they’re reading AI-generated content. This has contributed to the formation of transparency guidelines.
AP’s policy of explicitly identifying AI-generated stories sets an important precedent for industry-wide transparency. Details are available at AP’s Solutions section of their website.
Other news agencies and publishers are sharing details of how they incorporate AI into their reporting and even sharing experimental AI.
[One example: The Washington Post’s Climate Answers page]
However, AI isn’t expected to replace the seasoned, sometimes award-winning journalists employed by newspapers and media outlets. Here’s why.
The Human Factor
While AI excels at processing data and generating basic narrative content, it struggles with the nuances that only a journalist can produce. Even the latest algorithms cannot create content with authentic portrayals of emotions, opinions, and regional dialects. These are only within the minds of humans.
The ability to locate sources, conduct interviews, and determine which topics will appeal to an audience is still within the domain of journalists, writers, and editors.
This doesn’t mean that AI tools that assist with research and compose data-heavy articles are the only ones that will be available to tomorrow’s journalists.
Conclusion
As tech developers continue to create new AI platforms for various businesses, the traditional principles of journalism—accuracy, fairness, and public service—must guide the integration of this technology.
Managing this integration will depend on thoughtful policies, ethical frameworks, and a commitment to preserving the essential elements of reporting that empower journalism to inform, engage, educate, and inspire.
Disclaimer: GeekWire newsroom and editorial staff were not involved in the creation of this content..
