Artificial intelligence has already proven its ability to
generate value at speed, producing everything from software code
and product prototypes to business strategies and creative designs.
But as the tools mature and their adoption accelerates, the
question is surfacing: who owns the outputs? Unlike the input
problem, which deals with what goes into the AI tool (see our
previous article in this regards, AI Input), the output challenge is about what
comes out of the tool and here, the lines are even more blurred
than with inputs.
Consider a business that deploys a generative AI tool to design
a new product prototype. That output could hold significant
commercial value, but unless agreements are clear, it is not
obvious who has the right to commercialise it. Is responsibility
attributed to the end user that used the AI tool, the developer who
created it, the licensor who provided it or another party who
provided data or intellectual property in relation to
