AI Attribution and Provenance
How might we increase transparency and maintain trust with readers?
The explorations surrounding collaboration with Artificial Intelligence (AI) tools, such as OpenAI’s ChatGPT, lack an essential practical consideration: how do we best signal AI assistance when publishing without diminishing trust?
In this post, I want to explore how we might establish AI attribution frameworks and increase the transparency of provenance.
You might have encountered the term provenance in a gallery heist film or read about missing art forgeries. The more relatable application of provenance is traceability. So before we explore what this means for artificial intelligence, let’s start with a snack and a cuppa.
Food traceability
When you bite that sandwich at lunchtime, do you ever wonder where the food is from? Maybe you pondered on the origin of the ingredients as you stood in the supermarket aisle, trying to figure out what to choose. I often wonder how far these products have travelled, and these questions have only increased over my lifetime.
Consumer demands for information about where food is from and what’s in it have increased considerably over the last two decades. The need for more food transparency continues to rise as…
