What is generative artificial intelligence (AI)?
Generative AI is an artificial intelligence system capable of generating text, images, or other media in response to natural language processing.
Notable generative AI systems, which fall under the category of machine learning, include ChatGPT, Bing Chat, and Google Bard.
What are the pros of using generative AI?
Rapid content creation capabilities
such as for marketing newsletters and blogs, that provide immediate tangible value and efficiency.
Improved customer experience
through chatbots that offer human-like responses to customer inquiries or agent assistance toward better human-to-human service.
through machine learning that analyzes customer purchasing history and online behavior to improve product recommendations.
Smart enterprise search
and knowledge management systems that open the exchange of knowledge previously bogged down by inefficient tools and processes.
Faster product development
especially within industries where multiple years of research and development can delay launches of new products.
What are the cons of using generative AI?
Content quality created through generative AI can vary widely, depending on the quality of the data used to train the model.
Biases that exist in the data used to train the model can perpetuate in the content output, which could be discriminatory or offensive.
From an ethical standpoint, generative AI can be used to create content that can be used to spread misinformation or deceive people.
Intellectual property issues
Content produced from generative AI models may infringe on intellectual property rights, such as copyrights or trademarks, due to models not knowing better about the kind of output to deliver.
Possible data leaks
Sensitive company data leakage may occur through generative AI tools due to employees inadvertently entering source code or some other IP without realizing the vulnerability.
30% of large organizations’ outbound marketing messages will be synthetically generated by 2025, up from only 2% in 2022.