AI in TV newsrooms Part 1 - Transforming the news media landscape

Artificial Intelligence (AI) is revolutioniing industries across the globe, and the media industry, including TV newsrooms, is no exception. With the ability to process vast amounts of data, analyse patterns, and automate various tasks, AI is transforming the way news is generated, presented, and consumed. We have already seen AI-generated news presenters in some of the news rooms. In this two-part series, Adgully attempts to understand this technological advancement and its potential to significantly impact the media landscape, especially the TV news channels.

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While AI brings numerous benefits to TV newsrooms, human journalists and editors will surely continue to play a crucial role in news production. AI technologies should be seen as tools to enhance and augment human capabilities rather than supplant them, ensuring a deft balance between automation and human expertise. In this story, let’s explore the ways in which AI will transform the media industry, particularly TV newsrooms, and other aspects including challenges.

AI has grown exponentially in the digital sphere, revolutionising various industries and transforming the way we live and work; with ongoing research and advancement, it continues to evolve and push the boundaries of what is possible, points out Mitesh Kothari, Co-founder and Chief Creative Officer, White Rivers Media.

Kothari believes that TV newsrooms and the digital world altogether have a lot to extract from this advanced tech. He believes that newsrooms can leverage its ability to analyse vast datasets and generate appropriate stories with natural language generation techniques. The powerful AI-analytical tools also help the media industry take data-driven decisions for more meaningful engagements, he points out.

Digital and new media advisor Sanjay Trehan feels that Generative AI’s impact on the newsrooms will be truly transformative, in more ways than one. “It will help accelerate the routine, repetitive, prescriptive, data-driven jobs, curate background information in a jiffy, help examine content architectures and models, and look at filling the bottom of the content pyramid. But it’s not an unmixed blessing. Smart newsrooms will continue to keep the ‘agency of context’ with them and use it to provide richer, more immersive stories and experiences based on differentiation and uniqueness,” he adds.

Immense potential

Artificial Intelligence (AI) is poised to bring significant transformation to TV newsrooms. Some of the ways in which AI is likely to impact and reshape the TV news landscape include: automated content generation, enhanced data analysis, AI news presenters, automated video editing, deep fake detection, real-time transcription and translation, audience analytics, etc.

AI has the potential to transform TV newsrooms, in several ways, says Bharat Express News Network CEO Varun Kohli. Firstly, he explains, it has the capability to automate repetitive tasks such as transcription, video editing, and data analysis.

“AI algorithms can monitor and analyse vast amounts of data from various sources and identify trends, patterns, and breaking news stories, keeping journalists up to date and discovering potential stories. The algorithms are also able to generate news stories or summaries based on huge data, such as financial reports or sports scores. This helps in quickly producing news articles or summaries for routine or data-driven news items. Additionally, AI can personalise content recommendations for viewers, customising news stories to their preferences and interests leading to enhancing viewer engagement,” say Kohli.

The pain points

How AI can alleviate pain points and enhance productivity in TV newsrooms?

AI has the potential to alleviate pain points and enhance productivity in TV newsrooms through various applications. One key area where AI can make a significant impact is in content generation. AI-powered systems can assist in automating tasks such as transcription, video editing, and closed captioning, reducing the time and effort required by human journalists. This automation allows newsrooms to produce content faster and more efficiently. Additionally, AI can analyze large volumes of data and provide real-time insights, enabling journalists to quickly access relevant information, track trends, and identify potential stories. AI can also improve the personalization of news delivery by tailoring content recommendations based on user preferences and behaviour. This helps newsrooms engage and retain their audience.

Sanjay Trehan says that AI is a hugely productivity-enhancing technology. It will take the time and tedium out of routine, repetitive tasks and do it real quickly. For example, transcribing, captioning, headline generation can be automated. Not to mention, voluminous research and archival data and content can be brought upstream,” he adds.

One of the most crucial aspects of TV newsrooms is speed, points out Mitesh Kothari.

“With thousands of things happening around us each minute, it is exceedingly important to work with high agility at all times not to miss out on any opportunity at its relevant time. We have AI as a powerful tool now to utilise for speedy assessment of vast data along with effective result generation. It can assist with real time swift translations and automated content generation that can even be personalised by cutting-edge algorithms. While it is nearly impossible for machines to replace human intervention completely, many processes can be made smarter by advanced tech like AI to bring down the overall time and improve the output speed significantly,” he adds.

According to Varun Kohli, AI can enhance productivity by automating time-consuming tasks like transcription of audio and video content, saving time and efforts of journalists. “Natural language processing algorithms can help newsrooms analyse large volumes of text data, enabling them to extract key information and identify relevant trends. AI can also assist in real-time video editing, automatically selecting and compiling relevant footage based on predefined criteria. By streamlining these processes, AI can boost productivity and allow journalists to focus more on investigative reporting and storytelling,” he says.

Ethical usage

In light of the concerns expressed by Geoffrey Hinton and Sam Altman regarding ethical usage of AI, it is crucial for TV newsrooms to prioritize responsible and ethical implementation of AI technologies. TV newsrooms can key some steps to ensure this:

Transparent algorithms: TV newsrooms should strive to use AI algorithms that are transparent and explainable. This means avoiding black-box models that produce results without clear reasoning. By using interpretable algorithms, newsrooms can understand how decisions are made and ensure fairness and accountability.
Ethical data collection: Newsrooms need to be mindful of the data they collect and use for training AI models. It is important to ensure that the data is diverse, representative, and free from biases. Biased data can perpetuate discrimination and reinforce stereotypes, so efforts should be made to identify and mitigate such biases.
Human oversight: While AI can be a valuable tool, human oversight is essential in TV newsrooms. Journalists and editors should have the final say in content decisions and should not rely solely on AI recommendations. Human judgment can consider context, emotions, and ethical considerations that AI may not fully understand.
Continuous monitoring and evaluation: TV newsrooms should establish mechanisms to continuously monitor and evaluate the performance of AI systems. This includes analyzing the impact of AI on news production, assessing potential biases or unintended consequences, and making necessary adjustments to ensure ethical use.
Ethical guidelines and training: Newsrooms should develop clear ethical guidelines for the use of AI in journalism and ensure that all staff members, including journalists and AI developers, receive proper training on these guidelines. This will foster a shared understanding of ethical considerations and promote responsible AI use. Experts believe in the ethical implementation of AI.

TV newsrooms need to prioritise transparency and accountability, ensuring responsible and ethical implementation of AI technologies, says Varun Kohli. For this, collaboration with experts in AI ethics and continuous monitoring of AI technologies should be done, he adds.

According to him, TV newsrooms should clearly communicate to viewers when AI systems are being used and how they impact the news production process. “They should also invest in training their staff on the ethical implications of AI, fostering a culture of responsible AI usage. It is essential to establish guidelines and protocols for data collection, usage, and retention, ensuring compliance with relevant privacy laws. Regular audits and assessments of AI systems should be conducted to identify and mitigate biases and other ethical concerns.”

While Sanjay Trehan may not agree with the doomsday scenario, ethical usage of AI is non-negotiable. He feels that AI/ML is to be deployed to speed up tasks in a seamless manner, and not to create a false narrative.

“That will be irresponsible and counterproductive. To ensure its responsible implementation, significant editorial oversight stemming from value-based guidelines needs to be deployed. I believe Reuters is developing a useful guide to this effect with a view to leverage autonomous news content within an overarching framework of a trusted news organisation,” Trehan adds.

(Part 2 – Potential challenges associated with the integration of AI in TV newsrooms, and much more.)