When someone says an AI model is an 'open-source AI model', what does it really mean? We discuss how much information about the model must be shared, as well as the safeguards to deploy when using models developed by third parties

Exploring what is an 'artificial neuron' and taking a closer look at this seemingly simple, yet powerful model in terms of its structure, purpose, role, and evolution within AI networks

Addressing IP isuses relating to training data and output of generative AI solutions, including the necessary contractual clauses such as indemnities, warranties and assignment of rights in the output

Who's liable and how should we manage the risks of different types of AI-generated output, spanning facutally incorrect output, toxic/defamantory output and IP-infringing output

Outlining practical steps organisations can take to ensure that their use of AI stays within legal and ethical bounds, including the importance of maintaining documentation of the AI development process