This webinar will cover the latest developments in the Al sphere across topics from IP to privacy and confidential data use, to liability for output (drawing on examples primarily from Singapore, as well as key jurisdictions like the US, EU, China, UK, Korea and Japan), with the aim of equipping attendees with practical ideas on what to review or update in their Al use policies and contracts with customers/vendors.

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