First of all, protect your intellectual property. You are at your core an IP business. The algorithms, the processes, the confidential information behind your products are all intellectual property, so consider how to protect those assets. There's registered IP, there's trade secrets, there's different options.
Second, stay on top of AI regulation. I know that is hard because the regulatory landscape is so in flux, but AI regulation is relevant to your business, and there are some online resources that See more +
First of all, protect your intellectual property. You are at your core an IP business. The algorithms, the processes, the confidential information behind your products are all intellectual property, so consider how to protect those assets. There's registered IP, there's trade secrets, there's different options.
Second, stay on top of AI regulation. I know that is hard because the regulatory landscape is so in flux, but AI regulation is relevant to your business, and there are some online resources that help you track AI-related regulations, including by Orrick.
Third, implement strong data sourcing and data handling policies. Insufficient data use rights go right to the core of your business proposition, and in particular, around the use of personally identifiable information that can be really problematic. So, make sure that you track your data sources, track the governing contracts, and stay on top of them as your business evolves.
And lastly, build strong form contracts around your AI products. Make sure that you outline the rights and customer inputs and outputs, and other AI-specific responsibilities and risk allocation points. See less -
