The rise of generative AI has been on the increase in recent times, although the concept of AI has been explored in past years. There has been the advent of researchers like Alan Turing, who began to explore the mathematical possibility of building AI. His research in artificial intelligence birthed the notion of the Turing Test- a test that entails the interaction of humans and machines.
One of the earliest generative AI was ELIZA in the 1960s by Joseph Weizenbaum. ELIZA was one of the first text chatbots that could communicate with humans in natural languages. The advent of ELIZA gave way to the development of more advanced chatbots, such as PARRY by Kenneth Colby, a psychiatrist, to simulate a person who has paranoid schizophrenia, and JABBERWACKY, which mimics natural human conversation enjoyably and amusingly. There are several others as well.
WHAT IS GENERATIVE AI?
It is not just enough to know about the history of generative AI without knowing what precisely generative AI means. What, then is generative AI?
Generative Artificial Intelligence (AI) is a category of artificial intelligence that produces several types of content, including text, graphics, videos, and music. Generative AI, though introduced in 1960 in chatbots, gained more recognition with the advent of new tools that create high-quality text, graphics, and videos with less time to achieve one’s task. Popular generative AI interfaces are ChatGPT, Dall-E, and Google Bard.
ChatGPT is an AI-powered chatbot built on OpenAI. It interacts and makes text more attractive through its chat interface with interactive feedback.
Dall-E is built using OpenAI. Its multimodal AI application checks connections across multiple media, such as vision, text, and audio. Simply put, it connects the meaning of words to visual elements. It allows users to generate images in different styles depending on their choice.
Google Bard, designed by Google, is an AI-powered chatbot tool that simulates human conversations using natural language processing and machine learning. Bard can be fixed into websites, messaging platforms, or applications to ensure realistic, natural language responses to the user’s questions.
THE BENEFITS OF GENERATIVE AI TO CONTENT CREATORS
Generative AI has become very important to content creation as it offers content creators the opportunity to get access to powerful tools that make content creation fast, more accessible, and excellent. Generative AI offers a wide range of benefits to content creators, which include:
Generation of Ideas
Generative AI, like ChatGPT, has been helpful for businesses, organizations, and individuals to come up with ideas that allow maximum attention to be given to their work. With its advent, content creation has become more accessible as it provides valuable suggestions that make it easy and excellently portrayed.
Refining and Enhancing Content
Generative AI refines and enhances content into something more beautiful and attention-grabbing by providing brilliant insights and suggestions for maximum productivity. It also helps to improve the content in terms of writing by helping with vocabulary, well-structured write-ups, the discovery of targeted audience, polishing grammar, creating visuals and simplifying research.
Saving Resources and Time
Generative AI helps save time and resources with its ability to automate tasks for specific times and quick generation of content. With the advent of generative AI, content creators have the opportunity to create as much content as possible.
THE POTENTIAL OF GENERATIVE AI IN THE CONTENT CREATION SPACE
The potential of Generative AI can be classified into various sectors:
ECONOMIC SECTOR
Enhances Productivity: Generative AI, through its tools, can increase the productivity of individuals and organizations, leading to maximum output and economic development.
Global Economy Value: Research has established that generative AI has the potential to add trillions of dollars to the global economy annually.
Increased Efficiency and Cost Saving: Generative AI has made it easy to automate tasks. This will help organizations, businesses, or individuals increase their productivity and efficiency in their respective fields and reduce costs.
HEALTH SECTOR
Reduced Administrative Burdens: Generative AI can detect disease based on the symptoms explained to it by a person. This makes it easy for healthcare providers to know precisely why a prescription is given to such a person.
Improved Diagnostics: Generative AI can analyze critical medical images and patterns that may not be visible to the healthcare provider. This helps the health provider give accurate diagnoses.
EDUCATIONAL SECTOR
Personalized Learning: With the advent of AI, students can acquire knowledge that makes them stand out. With the easy accessibility of generative AI like ChatGPT, students can learn ahead and discover new things about their field and the world at large.
Improved Accessibility: Generative AI can create content in multiple languages and formats, making education more easy and accessible to students from diverse ethnicities.
Content Creation: Generative AI can help lecturers or teachers develop scripts or notes for their courses. It could also get help with content creation for online courses. It can also help students answer assignment questions, project topics, and the likes.
LIMITATIONS TO GENERATIVE AI IN CONTENT CREATION
Bogus Data: Generative AI may, in some cases, give information that is not reliable as it relies on the data it has been trained on and may not have access to up-to-date information.
It cannot Substitute Humans: Generative AI cannot replace human expertise and originality. Regardless of how excellent generative AI can be, it will still need the human touch to edit to fit the user’s objective.
It does not feel emotions: Generative AI cannot understand human feelings, and this can affect business productivity. For instance, in the case of running a campaign for a business, it is expedient that a company should think about their prospective buyers and see what meets their immediate needs; that way, prospective buyers can be satisfied. It cannot give appropriate content for a campaign that will meet the exact needs of prospective buyers, thus resulting in less business productivity.
It could give biased responses: Generative AI, like ChatGPT, for instance, tends to give emotional gender-based responses. This is based on the fact that they rely solely on the data they have been trained on. These data could be based on biases.
Conclusion
Generative AI is a fast-expanding subject with several intriguing opportunities for producing new and realistic content. However, significant obstacles and hazards are associated with it, such as ethical, legal, and societal ramifications, data quality and availability, model complexity and scalability, and possible misuse or abuse. As a result, it is critical to utilize generative AI ethically and with care and be aware of its limits and potential consequences.
