Artificial Intelligence: The Sixth Revolution Transforming the Media Landscape
Introduction Artificial Intelligence:
People far and wide are now learning about artificial intelligence. But only a few of them have had the opportunity to experience the world of robotics, and see everything this new generation can do for technological advancement in our lives.
For those who know little about AI, fear, doubt, and suspicion seem to be more prevalent in their minds about the wonders of AI and how it can help us in our work and daily lives.
As a professor of journalism, I saw it as my duty to experiment with artificial intelligence and be aware of sharing it with graduate students at Columbia University. For two years, I went to “chat rooms” dedicated to chatting with robots, along with many others who were doing the same thing.
Since 2017, reliance on artificial intelligence has doubled, not only by business companies, where it is used by approximately 58 percent, but many individuals are now searching for information using artificial intelligence, and they find it more interesting than “Google.” Where Google only gives you links and leaves the rest to you, AI provides you with information in a narrative style to introduce you to any topic! Artificial intelligence-based search engines also provide more accurate, effective, and diagnostic search results.
Book about AI
So, when my New York publisher suggested I write a book about AI for content creators — focusing on how AI helps journalists — I jumped at the chance. Although I am not an expert on this topic, the publisher said to me: “Who is the expert among us, Mario? You have 53 years of experience in media projects around the world, and you have researched artificial intelligence, so I invite you to write a book that contains the basics of artificial intelligence that addresses the book.” And journalists and editors. This is how I found myself and the book is in the hands of the editor, and will be published in the late fall of this year.
Reliance on artificial intelligence has doubled, not only by business companies, where it is used by approximately 58 percent, but many individuals are now searching for information using artificial intelligence.
Throughout my career, which spanned five decades in visual journalism, I have always been an “early adopter” of the various technical developments that have shaken the media industry, and blessed them. Today I feel fortunate to have deep insight into newsrooms around the world and have access to some of the best minds working on AI experimentation.
Sixth revolution in the media
Artificial Intelligence
This is the sixth revolution in the media that I have personally experienced. When I began my career with the Miami News and Miami Herald in the late 1960s, I watched the transition from metal-type to cold-type newspaper production, as typewriters gave way to computers in newsrooms, and newspapers went from black-and-white to Colored. In the 1990s came the Internet, and then there was the rise of mobile storytelling. And here is artificial intelligence knocking on our doors.
Artificial intelligence is not young. It is almost seventy years old, since the term was first used in 1956. Then expert systems appeared in the 1980s, and leaps in data and computing power continued until it flourished after 2010.
In general, if you use Alexa or Siri to turn the lights on and off in your home, you are using artificial intelligence. Artificial intelligence is also present in the Waze application, which suggests alternative routes when an accident occurs on the road, in Shazam, which determines the type of music, and in machine translation on YouTube.
As for me, I have an appointment, every day, with “Chat GPT,” the famous robot that has the answers to almost everything. I remind my students and clients that, if there is a genius among them who may rely on information from about 3,000 websites, artificial intelligence, through “machine learning,” is trained to collect information from about 175 million pieces of identification, across the vastness of the Internet.
After all that, what did I discover while researching and writing my book?
1- Generative AI:
It is the most important new technology since the advent of the Internet. Generative AI models learn from vast amounts of published data, including books, pamphlets, websites, and social media. Although AI is a powerful source of data, it is unable to replace the emotional human element. Although this technology does They can “think” like humans, but they may occasionally create work of similar quality.
2- ChatGPT application:
Most people experience artificial intelligence through chatbots.
GPT Chat is One of the most famous chatbots, it appeared for the first time in November 2022, and it has the ability to produce a smooth language for writing novels, computer codes, television series, and songs.
3- Hallucinations:
While the conversation with “GBT Chat.” It can be informative and entertaining, but you must be prepared for the robot to “hallucinate” itself, becoming disconnected from the topic at hand. When humans hallucinate, they experience a perceptual loss in the absence of causal external stimuli. Now that artificial intelligence has become a part of our daily lives, we must also face the hallucination of our robot friend, to whom we cannot turn for help in that situation.
Hallucinations in AI occur when an AI system generates outputs that are not based on reality or accurate information, or what Canadian author Naomi Klein refers to as “algorithmic residue.” For example, while discussing mobile storytelling, the robot quoted from My own business, and I replied enthusiastically: This is me. I’m Mario Garcia. The robot replied, “No, you’re not!” That was a huge blow!
If you use Alexa or Siri to turn the lights on and off in your home, you are using artificial intelligence. Artificial intelligence is also present in the “Wise” application.
4- Artificial intelligence versus humans:
Artificial intelligence does not have a mind of its own, as its output is limited to the information provided to it by humans. So I started my book with the slogan of respecting human beings. There is human input first, to motivate the robot to provide the required information results, and then finally, there must be human interventions to review what the AI robot has produced.
This may change in the future. The formula today is human, artificial intelligence, human.
5- Journalists step cautiously into the world of artificial intelligence:
Journalists are aware of its shortcomings, but it helps them through the following functions: Developing story ideas, helping with interview questions, providing data for background information in stories, helping with main content variations, summarizing promotional stories for social media, and translating from foreign languages.
No respectable media outlet will publish articles written entirely by an artificial intelligence robot, and if some parts of the article are taken from it, then this must be attributed to artificial intelligence appropriately in order to maintain credibility and transparency.
With the rapid emergence of this new technology, ethical and legal questions also arise. Is there bias in the information provided by AI and is it objective? Especially after artificial intelligence has access to all the information on the Internet and perhaps to the total amount of work that humanity has produced over centuries.
The New York Times About Artificial intelligence
The New York Times was one of the first publishing houses to question OpenAI. (OpenAI), the creators of ChatGPT, recently announced compensation for using artificial intelligence for its content. We are likely to see more of this accountability in relation to intellectual property and its use by AI.
Artificial intelligence is still in its early stages, and the subject of many questions and skepticism, but there is no doubt that it is a major revolution that will almost completely sweep us away.
I suggest you try artificial intelligence at your own pace, so that the robot becomes your friend, always ready to chat with you, regardless of your age.
1. Automated Content Creation:
One of the most notable impacts of AI in the media industry is its ability to automate content creation. AI-powered tools can generate news articles, reports, and even creative content like music and artwork. By analyzing vast amounts of data and utilizing natural language processing algorithms, AI can produce high-quality content at a speed and scale that was previously unimaginable. This has the potential to transform newsrooms, content production, and storytelling techniques.
2. Personalized Content Recommendations:
AI algorithms have revolutionized the way content is recommended to users. Platforms like streaming services, social media, and news aggregators leverage AI to analyze user preferences, behavior, and historical data to provide personalized content recommendations. This enhances user experience, increases engagement, and helps media companies tailor their offerings to individual tastes, leading to more targeted and relevant content consumption.
3. Enhanced Data Analytics:
AI-powered data analytics tools have become invaluable for media organizations. These tools can process vast amounts of data, extract insights, and identify patterns and trends. Media companies can leverage AI to gain a deeper understanding of audience behavior, preferences, and consumption patterns. This data-driven approach enables them to make informed decisions about content creation, distribution strategies, and advertising campaigns, leading to more effective and targeted media strategies.
4. Automated Transcription and Translation:
AI has greatly simplified the process of transcription and translation in the media industry. Speech recognition algorithms can automatically transcribe audio and video content, saving time and effort for journalists and content creators. AI-powered translation tools can also facilitate the localization of content, breaking down language barriers and enabling global audiences to access and understand media content from different regions.
5. Deepfake Detection and Content Verification:
As the media landscape becomes increasingly digital, the challenge of misinformation and fake content has grown. AI plays a crucial role in combating this issue by developing advanced algorithms for deepfake detection and content verification. AI can analyze images, videos, and audio to identify manipulated or synthetic content, helping media organizations maintain credibility and ensure the authenticity of their content.
Conclusion:
Artificial intelligence is undeniably the sixth revolution transforming the media landscape. From automated content creation to personalized recommendations, enhanced data analytics, automated transcription and translation, and deepfake detection, AI is reshaping the way media is produced, distributed, and consumed. As AI continues to advance, media organizations must embrace its potential while also addressing ethical considerations and ensuring responsible use. The integration of AI in the media industry holds immense promise for innovation, efficiency, and enhanced user experiences in the years to come.
I’m Hassan Saeed, a Clinical Psychology graduate deeply engaged in the realms of WordPress, blogging, and technology. I enjoy merging my psychological background with the digital landscape. Let’s connect and explore these exciting intersections!
