Bring together news, academic, and other thinkers to create a plan and introduce a guide to best practices and standards for artificial intelligence and automation across the information ecosystem — including newsgathering, production and distribution — and to inform journalists through the AP Stylebook, training and information industry events. Develop machine learning models and practical tools to help journalists identify artificial audio and video media created using AI techniques, drawing on the expertise of BBC News specialists and linguists around the world who track and verify media from all over the world, identifying fraudulent and unreliable content. Develop a “goal” programme, training and a hub project aimed at providing specialized skills for journalists and non — technicians in West Africa, online networking and physical environments to keep pace with the latest technology in fighting unethical use of AI, promoting news about the public interest and influencing the news.

But in reality, newsrooms are already using artificial intelligence — or AI-based applications to create simple, data-rich stories. Given such competitive advantages in the use of AI technology, journalists should already think about how best to work with machines and human technologists. Artificial intelligence is already a part of modern life and the stage is being prepared to play a bigger role in the newsroom.

Damian Radcliffe, a professor at the University of Oregon, who follows consumer trends and business models of journalism, said: “We have seen a greater acceptance of the potential for artificial intelligence or roba journalism in newsrooms around the world. Last year, Reuters last year, a competing news agency announced the launch of Lynx Insight, which uses automated data analysis to identify trends and irregularities and to suggest stories to journalists. Although journalists and robots seem to be helping each other, fears that artificial intelligence is getting out of hand and costing journalists ‘work. However, Meredith Broussard, a University of New York data journalism professor, said that she did not see any direct threat from robots that entered the newsrooms.

Broadcast methods have combined media production in importance, such as telegraphs, telephony, linotypes, handheld cameras, and motion picture cameras, radio and television have joined the media mix, while at the same time professionalization of journalism. Great newspapers, he says, have been the most likely media to generate original ideas, break important stories and discuss ideas in the public domain by the citizens of a democracy. Mark Deuze, a media professor at the universities of Amsterdam and Indiana, observes the melting of borders between work, family, leisure, and fun in modern western society, which leads to a free fusion of all previously discrete elements such as more and more freelancers from home. The latest News, information and Tutorials on Artificial Intelligence, Machine Learning, in-depth Learning, large Data and what it means to mankind.

Journalism is a sector in the creative economy that has introduced AI into its creation process. Thanks to the right use of AI, local and regional information companies can create interesting content to compete with the main newsrooms. Organizations such as OpenAI say that the “industry invests so much money in AI research that commercial and private individuals were on the right track to create the first powerful AI systems, and such companies do not have a built-in mechanism to ensure that everyone benefits from progress.

High specializes in media and journalism, with a focus on reporting and a double major in contemporary European history. Ai is beginning to influence journalism in many ways, marking the beginning of what will be a revolution in news publishing. However, there are considerable limitations to the AI technology currently available, limiting the potential impact of AI on journalism.

Artificial intelligence is already being used in newsrooms throughout the country to write simple and unveil trends in data science. Wihbey said that it is difficult to imagine that computers will meet a basic human need for meaning and storytelling — good news for human journalists. Artificial intelligence and machine learning models are present in almost all aspects of modern life.

Kurt Barling advises British and American startup crisper Technologies Ltd. on how to use AI to improve journalism stories.

Source: Artificial Intelligence on Medium