Tiago Bianchi
Research expert covering internet & gaming in Latin America and Spain
AI-generated online content (AIGC) - statistics & facts
The convenience and speed of generative artificial intelligence (GenAI) in producing online content might make it taste like a forbidden fruit to the average internet user. With just a few prompts, AI quickly brings ideas and products to life without the requirement of extensive expertise in online media and content creation. However, such an unfathomable speed of content creation raises the likelihood of AI being used for negative purposes like misinformation, potential data or intellectual property leaks, and possibilities for cybercrime. Just like the apple in the Garden of Eden brought immense knowledge, the exponential character of this technology puts it at the center of the debate about safety and risks associated with the quick and, so far, unregulated adoption of AI.
Meanwhile, many creators and marketers already jumped on the AI-generated content train, enjoying its trend momentum while seeking its assistance in the creative process as the main reason to start using these tools. But despite the sheer popularity and reach of this content, social media users remain more cautious than trusting influencer content generated through generative AI especially when such usage is not disclosed. It is between wonder and amusement, that the notion that producing AI-generated content has some profound drawbacks just starts to sink in.
While authorship is just one aspect of the discussion around AI-generated content, usage of tools like ChatGPT for cybercrime has become an even more urgent concern. As AI software for visual media continues to expand and popularize, worries about deepfakes increase simultaneously. Over 85 percent of surveyed U.S. adults express worries about AI-generated deepfakes, a concern for women, as online sexual crimes frequently target them. Meanwhile, a similar share of respondents also frets about AI usage for political propaganda, especially during upcoming major elections in countries like the United States and India. For now, the impact of AI-generated content may seem like a small ripple in the ever-expanding ocean of artificial intelligence, akin to the first bite of an apple that brings a world of possibilities and dangers.
Opportunities of AI-generated content production
The effectiveness of generative AI for creating media is already employed across several industries and media sectors, showing remarkable performance in visual, audio, and written media. Access to tools like Dall-E and Midjourney brings internet users the enormous potential of such applications, who for now just started getting familiar with exploring its potential and playing around with its functionalities. Nonetheless, AI-generated content has a great appeal in arts and entertainment material, being extensively explored due to its capacity to reinterpret and produce artistic material for entertainment.Meanwhile, many creators and marketers already jumped on the AI-generated content train, enjoying its trend momentum while seeking its assistance in the creative process as the main reason to start using these tools. But despite the sheer popularity and reach of this content, social media users remain more cautious than trusting influencer content generated through generative AI especially when such usage is not disclosed. It is between wonder and amusement, that the notion that producing AI-generated content has some profound drawbacks just starts to sink in.
Risks of AI-generated media
The simple act of inputting data into generative AI tools brings a high risk of data exposure, amplifying chances of leaking personal information and creative material into AI programs. Concerns about data harvesting and plagiarism of AI tools already sounded red alerts across several industries, especially due to the lack of credit of professionals who AI-based its content on. As major U.S. newspaper companies have sued OpenAI for copyright infringement, concerns about the impact of AI on brand safety grow and rejection of AI-generated content surges across the internet. One emblematic case is the app Cara, a social and portfolio platform designed to prevent the creation and harvesting of AI-generated content seeing a significant increase in popularity.While authorship is just one aspect of the discussion around AI-generated content, usage of tools like ChatGPT for cybercrime has become an even more urgent concern. As AI software for visual media continues to expand and popularize, worries about deepfakes increase simultaneously. Over 85 percent of surveyed U.S. adults express worries about AI-generated deepfakes, a concern for women, as online sexual crimes frequently target them. Meanwhile, a similar share of respondents also frets about AI usage for political propaganda, especially during upcoming major elections in countries like the United States and India. For now, the impact of AI-generated content may seem like a small ripple in the ever-expanding ocean of artificial intelligence, akin to the first bite of an apple that brings a world of possibilities and dangers.
