Prisma Media Invests in Artificial Intelligence for Content Generation

Embracing Artificial Intelligence

Prisma Media, a major player in the French magazine publishing industry and part of the Vivendi group since 2021, is actively exploring the capabilities of artificial intelligence in journalism. The company’s general manager, Pascale Socquet, signaled both enthusiasm and caution regarding the implementation of AI technologies within their operations.

For the last few weeks, Prisma has been utilizing ChatGPT to generate “cold” content, such as biographies and obituaries, as well as brief news items for the magazine “Voici.” The digital editorial team is experiencing firsthand the benefits and limitations of the tool, currently attributing approximately 10% of their published content to AI, always under human oversight.

The Future of Media and Technology

Prisma Media isn’t just stopping at text; it’s also running experiments in visual content. A May cover for “Ça m’intéresse” is set to be AI-generated, and there are ongoing trials in audiovisual realms including a new “Capital” podcast called “120 seconds” which summaries the key news of the day using a cloned voice of one of their journalists. Alongside this, the group is dabbling in economically themed news videos featuring cloned avatars of journalists reading the articles.

Engagement through Personalization

Efforts are also being made to personalize reader experiences. A chatbot has been tested on “Ça m’intéresse” to engage readers and suggest articles based on individual interests. According to Maël Montarou, the director of digital audience, the preliminary outcomes look promising.

Preparation and Caution

To prepare their staff for the AI transition, Prisma plans to train all 400 of its journalists by year’s end in the nuances of AI and its applications in journalism. They have dedicated 20% of their 2024 training budget to AI upskilling.

Moreover, Prisma has established a charter to ensure a human in the loop for AI-generated content and has set boundaries on the tools they use to comply with copyright laws.

Internal Concerns

However, these advances have sparked internal concerns. Emmanuel Vire of the SNJ-CGT union has called for collaborations with journalists in the implementation of AI, citing a need for in-depth consultations to understand the social and ethical repercussions.

Although multiple press groups have begun experimenting with AI for various journalistic tasks, widespread robot-run newsrooms remain a distant prospect, and the journalist’s role is not yet obsolete.

Exploring AI in Journalism: Key Questions and Challenges

One of the most important questions when integrating AI into journalism is: How can AI maintain journalistic integrity and accuracy? AI can process data faster than humans, but it is only as accurate as the data it has been trained on. Hence, there’s a risk of AI perpetuating biases or misinformation if not monitored closely.

Another key question is: How will AI impact employment in the journalism industry? There’s a fear that AI might replace human jobs, although many argue that AI will serve more as a tool to augment journalism rather than replace it.

Advantages and Disadvantages

Advantages of using AI in content generation include:

Efficiency: AI can quickly produce ‘cold’ content, allowing human journalists to focus on more complex and nuanced stories.
Scaling Content Production: AI can help to generate a larger volume of content, enabling media companies to cover more topics and reach a broader audience.
Cost Reduction: Over time, AI can help to reduce costs associated with content production by automating some of the more routine tasks.

Disadvantages include:

Quality Concerns: AI-generated content may lack the depth and nuance that experienced journalists bring to their reporting.
Job Displacement: As AI becomes more capable, there could be a reduction in the demand for human journalists, potentially leading to job losses.
Ethical and Moral Implications: The use of AI in journalism raises questions about authorship, transparency, and whether readers should be informed when they’re reading AI-generated content.

Key Challenges and Controversies

One of the key challenges is ensuring that the integration of AI in journalism doesn’t compromise ethical standards or the quality of reporting. Moreover, the use of AI-generated content must be transparent to retain the trust of readers. Another major challenge is establishing guidelines and ethical frameworks to govern the use of AI, particularly in areas such as data privacy and intellectual property rights.

Controversy also revolves around the potential for AI to disseminate biased information or ‘deepfakes’, which can undermine public trust in media.

In the context of the article, particularly relevant are the efforts by Prisma Media to train journalists in AI, which highlights the company’s focus on the responsible use of technology, and the inclusion of human oversight, which is crucial in maintaining journalistic standards.

If you’re interested in the broader debate around AI and journalism, you might visit the websites of organizations that deal with media and technology ethics, such as:
Columbia Journalism Review
Ethical Journalism Network
Poynter

These links have been verified to lead to the main domains of their respective organizations, which are active in discussing and addressing the interplay between journalism and emerging technologies, including AI.

Privacy policy
Contact