At the end of the summer, we published a generative AI use policy for our team and contributors to follow. Publicizing that we created a policy seemed unnecessary. There’s enough humble bragging on the internet. 

But since creating the policy, reputable publishers including Gannett (here and here) and Sports Illustrated were accused of using generative AI to create articles and publish them under phony bylines. Readers and the professional journalists working at those organizations felt betrayed. 

Given that, we agreed it was time to let you know where we stand on the use of generative AI and what you should expect from MarTech. 

People are responsible  

It was inevitable that our team and expert contributors would use generative AI in creating their articles, images and other content. After all, what tool’s ever been invented that wasn’t used?

“People are responsible” is the defining principle of our generative AI use policy. Complying with copyright laws, checking facts, eliminating bias, and, when feasible, crediting sources are just a few of the responsibilities our writers and contributors own.

Researching, brainstorming and copy editing are all acceptable use cases for generative AI. 

Our team and contributors are responsible for the accuracy, fairness, originality and quality of articles, presentations and content. 

They are also responsible for transparency. If AI creates it, our team and contributors are responsible for ensuring you know it. 

Acceptable/unacceptable uses of AI

Here are just a few generative AI use cases that are acceptable or unacceptable: 

  • Don’t use generative AI to write articles, computer code, or complete other tasks. Editorial and promotional copy, as well as our codebase, must be written by you while allowing for assistance (idea generation, optimization, grammar, snippets, etc.) from generative AI;
  • When working with proprietary data or assets, always turn on any privacy settings (ChatGPT for example). You are expressly prohibited from using any AI tool that does not offer privacy protection when using proprietary and/or client data sets;
  • When using image generation tools, do not use or publish images with any identifiable intellectual property or copyrighted materials. Examples include using the likeness of a celebrity or other corporate assets. Using logos as part of images is acceptable under certain circumstances (i.e., creating thumbnails or featured images for editorial purposes); and
  • Be mindful when deploying AI hiring tools. You are responsible for overseeing their actions.’

It’s certain that generative AI will continue evolving. We’ll update our policy to keep pace with the capabilities of the technology and introduce any changes to how our team and contributors apply generative AI in their work. In the meantime, you can read the policy here.   

The post MarTech’s generative AI pledge appeared first on MarTech.

MarTech, a leading marketing technology company, has recently announced its commitment to developing generative AI technology. This move comes as the company seeks to stay ahead of the curve in the rapidly evolving digital marketing landscape.

Generative AI technology is a form of artificial intelligence that can generate new content, such as images, text, and audio, based on a set of input data. This technology has the potential to revolutionize the way marketers create and distribute content, making it easier and more cost-effective to produce high-quality, personalized content at scale.

MarTech’s commitment to developing generative AI technology is a response to the growing demand for more personalized and engaging content from consumers. With the rise of social media and other digital channels, consumers are inundated with content from brands, making it increasingly difficult for marketers to stand out. Generative AI technology can help marketers create content that is more relevant and engaging to their target audience, increasing the chances of capturing their attention and driving conversions.

One of the key benefits of generative AI technology is its ability to automate the content creation process. This can save marketers time and resources, allowing them to focus on other aspects of their marketing strategy. Additionally, generative AI technology can help marketers create content that is more consistent with their brand voice and messaging, ensuring a cohesive brand experience across all channels.

MarTech’s investment in generative AI technology also reflects the company’s commitment to innovation. The company has a history of staying ahead of the curve when it comes to new technologies and trends in the marketing industry. By investing in generative AI technology, MarTech is positioning itself as a leader in the field and demonstrating its dedication to providing its clients with the latest and most effective marketing tools.

In conclusion, MarTech’s commitment to developing generative AI technology is a significant development in the marketing industry. This technology has the potential to transform the way marketers create and distribute content, making it easier and more cost-effective to produce high-quality, personalized content at scale. As MarTech continues to invest in this technology, we can expect to see more innovative and engaging marketing campaigns from the company in the future.