Application of AI in the Traditional Media Industry: Developments and Limitations
Artificial Intelligence (AI) are widely used in various industries, also for traditional media industry. AI has integrated into the media industry and transformed the content creating method, distribution and audiences’ consumption. AI technologies are reshaping the landscape of media by providing automated journalism to customized content recommendation.
Development of AI Applications:
1. AI generated Ultrashorts
In China, AI is dominating the ultrashorts markets by crafting more and more products. From the script and dialogue to storyboarding, background music and special effects are all crafted by advanced AI tools, instead of human efforts. The most popular AI ultrashorts “The Mirror of Mountains and Seas: Breaking Waves,” is a 3 minutes duration per episode short video. The director and producer claims that with the support of AI, their production time and costs is reduced by more than 75% and finished the full production progress within 2 months.
2. Automated Journalism
The algorithmic journalism involves AI to produce news articles. Companies like the Associated Press and Reuters have implemented AI-driven systems to generate financial and sports news. For instance, the AP uses Wordsmith, a natural language generation (NLG) tool developed by Automated Insights, to produce thousands of earnings reports quickly and accurately.
3. Content Personalisation
Besides content creation, AI algorithms helps to analyse user data and deliver personalized content recommendation, to enhance user engagement. This technology has widely applied in Netflix and Spotify, who use machine learning algorithms to anlayse viewing and listening habits. This allows them to suggest tailored content to users’ preference.
Although the rise of AI benefits our industry development, there are still limitations on it.
Limitations of AI:
1. Ethical and Right Concerns
With the further development of AI, journalism industry raises ethical questions, particularly for the bias and misinformation. AI systems are only grown by the data they are training on. If that data contains biases, the resulting content can be stereotypes and misinformation, which may lead to concerns of fairness and accountability.
2. Job Displacement
As mentions, AI helps to reduce production cost and time. The automation of media tasks poses a risk of job displacement for human workers due to higher salary cost. As AI takes over routine reporting and content generation, there are fears arise in the industry about reduction in jobs for journalists and content creators.
3. Dependence on Technology
The reliance on AI technologies can create insecurities, especially when the systems fail or produce erroneous outputs. Media corporate may find themselves overly depend on AI for content creation and analysis, which may risk accuracy and reliability.
In conclusion, the application of AI in the media industry bring both developments and notable limitations. While AI enhances efficiency, we should use it in a proper way as assisting tools and foster the collaboration of AI and human creativity, to maintain the balance of AI with ethical consideration.
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