WE are living in an age where anyone can be anything. What happens to a singer who can’t churn out new lyrics? Or to a budding filmmaker who needs help predicting how his storylines will be perceived by the viewers?
Predicting the future isn’t magic, it’s artificial intelligence. We are aware of that.
Almost every day, we get reminded of how AI continues to reshape our daily lives, and the entertainment industry has since tapped into the digital revolution.
The broader picture
Yes, gen AI opens new ways to create written material, illustrations, sound effects, special effects, and more, but its potential extends beyond content creation. In the media and communications world, it can be used to automate administrative tasks, freeing up the creative workforce for strategic and innovative work.
The creative industries have entered a golden age in which AI-assisted artists can realize their visions at a faster pace and greater scale than ever before. Journalists can speed up research by utilizing AI that synthesizes large volumes of information, while film producers could leverage the technology to accelerate the post-production editing process with new AI-enabled interfaces. The potential use cases go on and on.
“Driving force”
We have also passed the days of aimlessly scrolling through an endless library of movies and TV shows. AI-powered recommendation systems have become the guide for us consumers seeking our next entertainment experience. These algorithms analyze vast amounts of data, including our browsing history, user preferences, and even profiles, to identify similarities and patterns of behavior and curate personalized suggestions.
Al’s ability to enhance content creation, personalize audience experience, and improve monetization proves it’s a driving force to the growth of media and entertainment industries.
Accelerating innovation through responsible AI
There are critical issues of transparency and accountability in AI, which can lead to bias, misinformation, copyright violations, reputational damage, privacy invasions, deepfakes (altered images, videos, or audio created using AI), and cheapfakes, which are similar to deepfakes but produced using conventional methods.
Since ChatGPT entered public consciousness just over a year ago, numerous training sessions have been conducted, and discussions have explored the myriad implications of AI and other large language models capable of processing vast datasets. We should all learn from those to be mindful of our use of AI.
When people talk about AI, there’s always a chance that someone would call for a ban to avoid its pitfalls, the best response would emphasize the need to understand how AI can do more good than harm—then the conversation continues.
