As organisations venture into the world of Artificial Intelligence (AI), many are considering a Proof of Concept (POC) to assess AI tools practically. This article dives into what an AI POC involves, including its potential legal and non-legal risks, offering insights for organisations looking to adopt AI responsibly.
Key Points
- An AI POC tests the feasibility and value of an AI tool in solving specific business problems.
- POCs should be low-risk yet carry potential legal implications involving data privacy and intellectual property.
- Successful AI adoption requires addressing risks such as data quality, user change resistance, and the potential for AI bias.
- Legal oversight during the POC phase is essential to mitigate potential regulatory issues and manage risk effectively.
Why should I read this?
If you’re thinking about diving into AI, this article is a must-read! It breaks down the complexities of launching an AI POC without the usual fluff. Knowing the legal and practical risks involved can save you a whole heap of trouble down the line, making it a smart read if you’re serious about your AI journey.
