Guy Cocker’s Post

"Preserving Trust in the Age of AI: Journalism's Responsibility" A huge thanks to Muck Rack for putting together such an interesting panel discussion. Guy Cocker had some really interesting insights about the future generation of journalists, how the next crop of talent will have developed skills across a suite of AI tools that reduce resources spent on social media and design work. I hadn't yet heard someone discuss AI in journalism this way, as much of the other conversations have surrounded AI content. Discussing startups and AI with Riddhi Kanetkar after the event inspired some new ideas for myself about the role of regulation in the EU and emerging startup powerhouses in Eastern Europe. Overall, it got me thinking, what role does PR have to play in preventing AI from impacting journalism negatively?

The With team attended a panel discussion on how the media industry is preserving trust in the 'Age of AI' earlier this week. Check out Leo Hodges' summary below.

5 key trends in AI in journalism, and what they mean. Trend #3👇 AI’s impact is highly context-dependent AI definitely has the potential to enhance efficiency within news organisations, but productivity gains will not be straightforward. For example, AI can enrich the podcast experience, providing users with additional information and recommendations based on their listening history. This process can be done at scale, as algorithms process large amounts of data in a reasonable amount of time and with minimal effort, and all this is done to deliver a better experience to the audience. On the other hand, it happens that something produced by AI is of poor quality and needs to be rechecked by a human, which decreases efficiency. This is common for large language models prone to errors and producing unreliable results, hindering the journalistic process rather than streamlining it. As for now, we need to oversee the task execution by AI, and we need a human-assisted process before we fully delegate serious matters to algorithms. It’s not a given then that AI will free news workers to do deeper or better journalism. Especially because the time journalists save using AI is usually devoted to extra work, writing more stories, or editing more videos. Also, since AI is still mostly used as a tool, it doesn’t fundamentally affect how newsrooms operate. If you feel like reading more about how AI is shaping journalism, subscribe to my newsletter, The Newsroom of Tomorrow! The new edition is out this Thursday! #newsroomoftomorrow #AI

5 key Trends in AI in Journalism, and what they mean. Trend #3: AI’s impact is highly context-dependent AI definitely has the potential to enhance efficiency within news organisations, but productivity gains will take more work. For example, AI can enrich the podcast experience, providing users with additional information and recommendations based on their listening history. This process can be done at scale, as algorithms process large amounts of data in a reasonable amount of time and with minimal effort. All this is done to deliver a better experience to the audience. On the other hand, it happens that something produced by AI is of poor quality and needs to be rechecked by a human, which decreases efficiency. This is common for large language models, which are prone to errors and produce unreliable results, hindering rather than streamlining the journalistic process. As for now, we need to oversee the task execution by AI and a human-assisted process before we fully delegate serious matters to algorithms. It’s not a given that AI will free news workers to do deeper or better journalism, mainly because the time journalists save using AI is usually devoted to extra work, writing more stories, or editing more videos. Also, since AI is still primarily used as a tool, it doesn’t fundamentally affect how newsrooms operate. If you want to read more about how AI shapes journalism, follow me! #newsroom #digital #transformation

A New Era in AI-driven Journalism is Emerging 🚀 The data platform has reached rights deals with orgs like the AP and Gannett to support a new AI tool, enhancing the way we consume and create news. This development is significant, as it indicates the willingness of established media organizations to adapt to the rapidly evolving landscape of journalism. Here are some key takeaways: - Improved accuracy: AI-powered tools will enable journalists to fact-check and verify information more efficiently. - Enhanced storytelling: AI can help identify patterns and trends, allowing journalists to uncover more in-depth and engaging stories. - Increased efficiency: AI will automate routine tasks, freeing up journalists to focus on high-value tasks. As AI continues to transform the industry, it's crucial to stay ahead of the curve. If you're interested in learning more about the intersection of AI and journalism, I invite you to subscribe to my AI Newsletter: [AI Newsletter](https://lnkd.in/gRgPMgKc) 💡

Journalism provides the bedrock for AI training data. Without fair compensation, we risk a decrease in the quality of data and an imbalance in the AI ecosystem. While I recognize OpenAI's initial steps towards collaborating with news organizations like The Associated Press and Axel Springer, I feel that publicly responding to The New York Times lawsuit through a blog post may not be the most suitable approach for fostering a genuine, meaningful relationship with the wider industry. In my view, this approach could unintentionally fuel the narrative of conflict between the Media vs. Tech industries, rather than help to bring them closer together. Publishers should be compensated for the intellectual energy they put into their content, not as a penalty to innovation, but as a catalyst ensuring that the AI revolution is sustainable where every stakeholder has upside. At the same time, technological advancements cannot be hampered by a slow, bureaucratic process of rights acquisition. To sustain rapid AI growth without trampling on content rights, we need a new paradigm of IP management, one that is as agile and forward-thinking as AI itself. A model that I think has potential involves collective licensing and compensatory funds. With this approach, we can centralize rights procurement, remove friction, and fuel AI progress without disenfranchising the originators of training data. This situation presents an opportunity for news organizations to reconsider their approach to innovation. Today, AI is the disruptor, but in five years, it will likely be something else. Currently, media companies have the chance to move from the back seat to a more active role in shaping the AI landscape, instead of simply adapting to it. For the industry to flourish in the age of AI, it must innovate in tandem with technology, rather than just trailing behind it. This necessitates leading with a unique perspective and concentrating on the development of AI that emphasizes accuracy and recency.

AI has always been a game-changer across industries. But in journalism, it's set to revolutionize the narrative like never before. The potential of AI in journalism is vast, not just for content creation but for personalized news delivery, fact-checking, and even uncovering hidden stories through data analysis. But it's not just about the capabilities of AI. The questions we ask and the challenges we set for them will determine their impact on journalism's narrative. Here's to a future where AI doesn't just reshape journalism but elevates it to new heights. A future where AI and human journalists dance together in a harmonious ballet of innovation and storytelling. Check this out: https://lnkd.in/d2WazANY

📰 Google's AI Tool Genesis: The Future of Journalism? 📰 Google has been developing an AI tool called "Genesis" that could revolutionize the way news is written. Genesis is a generative AI model that can be used to write news articles, headlines, and even social media posts. The tool is still in the early stages of development, but has been pitched to a handful of major news organizations Understandably, there would be some concerns that Genesis could lead to the disappearance of jobs in the journalism industry. However, Google has said that Genesis is not intended to replace journalists, but rather to help them be more productive (such as freeing up journalists to focus on more creative and investigative work). There could also be a rise in journalism quality with fact-checking articles for accuracy. Will have to see what the impact on the journalism industry will look like with tools like this. #ai #journalism #GoogleGenesis

Axel Springer, a global media and technology company, has entered into a groundbreaking partnership with OpenAI to enhance independent journalism in the era of artificial intelligence. As the first publishing house to collaborate deeply with OpenAI on journalism integration into AI technologies, Axel Springer aims to provide ChatGPT users worldwide with summaries of selected global news content from its media brands, including POLITICO, Business Insider BILD, and Welt. The partnership not only enriches user experiences with real-time news but also supports Axel Springer's AI-driven ventures and contributes to the training of OpenAI's large language models, marking a significant commitment to leveraging AI for journalism's sustainable future. #newsupdate #ai #global #technology #partnership https://lnkd.in/drMGH3Qh

GUIDELINES | Artificial Intelligence (AI) offers journalism and the media new tools in many areas of work, including in data analysis, in production, understanding audiences, targeting and much else. Generative AI can create text, visuals and audio that are often difficult to distinguish from material created by humans. Reactions to AI in journalism have ranged from enthusiastic acceptance to strong fears that it will add to the destruction of journalism jobs and boost misinformation. Though it is too early to foresee the impact with any certainty, it is important for news organisations, newsroom leaders and journalists to be thoughtful when they deploy new AI tools, and to consider them in the light of the ethical principles that support audience trust in journalism. At all times, any use of AI should be for the benefit of journalism and audiences. – READ MORE https://lnkd.in/gHCSCPwJ