From the 1950s to the early 1960s, the concept of artificial intelligence was created, and this was its first stage. People were hopeful that AI would be able to perform many high-level tasks. In the second stage, the 1960s to the early 1970s, researchers began to exaggerate their claims to make sure that they would get more funding for their work. However, the successive failures resulted in a decrease in funding for AI development. AI research continued to be stalled through the early 1990s.
In the mid-1990s, the arrival of big data, new technologies, and computer algorithms caused advancements in artificial intelligence. The fast growth and “humanized” factor created a number of news reports. These news reports from mass media outlets caused heavy investing to begin again, which created start-ups focusing on AI and increased research at an unprecedented rate.
The development of any innovation relies heavily on public perception through mass media. Because AI is based on mathematical algorithms and theories, it may not be understood by everyone. This means that people’s understanding of technology was shaped by mass media.
The study looked at a 30-year period to explore the public discussion of AI. The study found that new discussions about AI increased dramatically after 2009. These discussions were more optimistic than pessimistic. When people are optimistic about a topic, it shows their hope for the development of the innovation.
Media outlets can make use of their own characteristics of communication, such as language combination, topic setting, emotional guidance, post tracking, and other ways to report the content and news in the field of AI.
Mass media can affect how we view anything, including emerging innovations and technology.
The impact of AI on us is more important than ever. The attention it has gotten in recent years has not only gotten the attention of society but the support of government departments, its application into a global industry, and its continued research and development. As people continue to jump in on the discussion of AI and AI ethics, it will help to develop and shape AI design.